# Practicum for "When Intelligence Became Cheap" — Book 1: The Human Edge Everything the printed chapters of this book send you to, in one file: worksheets, prompts and agent skills. Put it into ChatGPT Projects, a Claude project, NotebookLM or any assistant that accepts an attachment, then work through it question by question. > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. Assembled 2026-09-07. Chapter-to-material contract updated 2026-08-12. Canonical home: https://cheap-intelligence.vercel.app/en — each page below also lives there at its own address. The living layer is deliberately **not** in this file. Tool maps, market pages and anything else that carries a check date changes faster than a download: read it at https://cheap-intelligence.vercel.app/en/watch. Attribute material to Denis Ermilov and the Practicum, with the page address and its check date. Texts are CC BY-NC-SA 4.0; code and browser tools are MIT. --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- reading_level: b2 title: "Book 1 Workbook: The Human Edge" description: A chapter-by-chapter route from value levers and a weekly inventory to a personal 90-day plan. --- # Book 1 Workbook: The Human Edge > The end-to-end Practicum route for *The Human Edge* (Book 1 in the *When Intelligence Became Cheap* series). > This is a route through the contents. It takes you from value levers and a review of your week to > a personal 90-day plan, one step per chapter. The individual worksheets still work as direct entry > points. This workbook connects them into one path. > > **Your profession is the axis of this route.** Volume 1 is organized around professions: you look > at your own work. The business route is organized around company functions and lives in the > [second workbook](tom2-workbook.md). Fill this in as you read. Each step asks you to bring one short conclusion here and links to the full worksheet. At the end, you will have a 90-day plan built from your own diagnosis. It is also a **portfolio artifact for a professional:** one page that shows the value you create, what you delegate to AI, what you keep under human control, and which next level you plan to take on. There are two doors into the Practicum. Use this workbook to follow the book, or [choose your profession](../applications/_index.md) if you want to start with "How will AI change my work?" You can use both. --- ## Step 1: Which lever creates my value? (Chapter 2) Worksheet: [value-levers-filter.md](value-levers-filter.md) · ⚡ [three-lever filter (HTML)](../skills/value-levers-filter/). Take one task apart. Is its value in sales and growth, savings, or attention and trust? Which part is becoming cheaper? - **The main lever in my work:** `____________` - **What is getting cheaper for me (output):** `__________________` · **what remains mine (outcome):** `__________________` ## Step 2: Sort one week into baskets (Chapter 3) Worksheet: [week-inventory.md](week-inventory.md). Sort your week into 🟢 "AI alone," 🟡 "person + AI," and 🔴 "person only." - **Share of 🟢 work in my week:** `____%` - **The main 🔴 task where I cannot be replaced:** `__________________________` ## Step 3: Where am I on the ladder? (Chapter 4) Worksheet: [ladder-self-diagnosis.md](ladder-self-diagnosis.md). - **Entry / middle / top:** `____________` · **one nearby handhold:** `__________________` ## Step 4: My usefulness level and a +1 move (Chapter 5) Worksheets: [usefulness-levels-self-check.md](usefulness-levels-self-check.md) · [plus-one-level-plan.md](plus-one-level-plan.md) · the ladder in the language of your own work is in [your profession card](../applications/_index.md). - **My default level (0 to 5):** `____` · **candidate task for a +1 move:** `______________` ## Step 5: My personal system and the task-to-outcome map (Chapter 6) Worksheets: [task-to-outcome-map.md](task-to-outcome-map.md) · [personal-harness-builder.md](personal-harness-builder.md) · ⚡ [harness builder (HTML)](../skills/personal-harness-builder/). For a deeper look at how a personal system is built, see the [Chapter 6 overview](../chapters/06-chelovek-kak-sistema.md) with harness level examples. - **The weakest layer in my system:** `____________` · **what AI already does in my tasks:** `________` ## Step 6: One skill that is becoming more valuable (Chapter 7) Worksheet: [five-deficits-audit.md](five-deficits-audit.md). - **The skill I will practice on purpose:** `__________________________` ## Step 7: Work with AI without building cognitive debt (Chapter 8) Worksheets: [ai-mode-audit.md](ai-mode-audit.md) · [cognitive-debt-checklist.md](cognitive-debt-checklist.md) · ⚡ [cognitive debt tracker (HTML)](../skills/cognitive-debt-check/). - **My mode (cyborg / centaur / self-automator):** `____________` - **What I will do without AI once a week so I do not lose the skill:** `__________________________` ## Step 8: Bring it together as a diagnosis (Chapter 9) Worksheet: [profession-audit-integrated.md](profession-audit-integrated.md). Bring over the conclusions from Steps 1 to 7. - **What is getting cheaper:** `__________________` · **weak point:** `__________________` - **Value that will survive:** `__________________` · **my +1:** `__________________` ## Step 9: Who am I when AI does my work? (Chapter 10) There is no worksheet. This is a conversation with yourself. Rewrite how you describe your role. Move from "I make X" to "I am responsible for Y." - **I am responsible for:** `____________________________________________________________` ## Step 10: A 90-day plan (Chapter 11) Worksheets: [personal-90-day-plan.md](personal-90-day-plan.md) · [weak-multiplier-canvas.md](weak-multiplier-canvas.md). Bring everything above into one plan built around **one task**: - **One recurring task for the next 90 days:** `...` - **The old rule I follow now:** `...` - **The new rule I will make standard:** `...` - **The capability I will keep and practice myself:** `...` - **A verifiable change after 90 days** (it does not have to be public): `...` - **My next level of responsibility:** `...` - **The repeatable working method that will remain** (calendar time / template / check): `...` > If you have several tasks, choose the one where other people will notice the improvement. > The [Weak Multiplier Canvas](weak-multiplier-canvas.md) is only a supporting filter. --- ## My one-page result Put your answers from Steps 1 to 10 into one table. This is a profile you can print, show to a manager, use in a conversation about your role, or give to your AI assistant. A useful result does not say "I know how to use AI." It shows which work you now do one level higher. | Step | My conclusion | |---|---| | 1. Value lever | `____` | | 2. Week by basket | 🟢 `____%` · 🟡 `____%` · 🔴 `____%` | | 3. My place on the ladder | `____` | | 4. Usefulness level and +1 move | now `____` → next move `____` | | 5. Weak layer in my personal system | `____` | | 6. One skill that is becoming more valuable | `____` | | 7. My way of working with AI | `____` | | 8. Integrated professional diagnosis | `____` | | 9. I am responsible for Y, not for making X | `____` | | 10. 90-day plan | task `____` · new rule `____` · metric `____` | | 1. The main lever in my work | `____________` | | 2. Share of 🟢 work / main 🔴 task | `____ %` / `____________` | | 3. Place on the ladder + handhold | `____________` | | 4. Usefulness level + candidate for +1 | `____` / `____________` | | 5. Weak layer in my personal system | `____________` | | 6. Skill I will practice | `____________` | | 7. AI work mode + safety rule | `____________` | | 8. Weak point / value that will survive | `____________` | | 9. I am responsible for | `____________` | | 10. One 90-day task + verifiable change | `____________` | For a second opinion, paste the completed table into an AI chat with this prompt: ```text Here is my profile from the Volume 1 Workbook for When Intelligence Became Cheap. It has 10 rows: value lever, weekly baskets, ladder, usefulness level, weak system layer, skill, AI work mode, diagnosis, "I am responsible for," and a 90-day plan. Check it for honesty. Where do the conclusions conflict? Where am I flattering myself? Which step is the weakest? Do not rewrite the plan. Ask me three questions that will make me want to improve it myself. [paste the table] ``` --- Next, use the 30/60/90 check-ins in [personal-90-day-plan.md](personal-90-day-plan.md). Return and check your own metric. Did it move? This closes Volume 1, from value levers to a first move. Volume 2, which covers teams, business, and the wider world, has its own [Volume 2 Workbook](tom2-workbook.md). To see a completed workbook, open the [end-to-end marketer example](../cases/persona-marketolog.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # The three value levers filter > Practicum for **Chapter 2 of Volume 1**, "The New Price of Intelligence." Time: 10 to 15 minutes. > Use one worksheet for one task or product. You can also use the > [interactive browser version](../skills/value-levers-filter/). It does the math in your browser and does not send your data anywhere. AI makes `output` cheaper. Output is a finished artifact such as a text, report, design, or piece of code. If your value came from producing something quickly and neatly, that advantage is fading. Value is moving to `outcome`: framing the problem, applying judgment, earning trust, reaching people, and taking responsibility for the result. This worksheet is a quick filter. It shows which of the **three levers** creates value in your task and whether cheap AI is wiping out that value. ## The three levers from the chapter | Lever | What it means | What cheap AI does to it | | --- | --- | --- | | **New sales and growth** | You do something others cannot do (the "magic") | Helps people who already have something unique, but does not create that uniqueness for them | | **Cost savings** | You do the same work faster or at a lower cost | **Erases the advantage for everyone.** It becomes the new baseline. | | **Attention and trust** | People choose you and trust you | Your channel and relationships become more valuable when everyone can produce more content | > The chapter's point: everyone gets the same cost savings at roughly the same time. An advantage remains where you have **magic**, something others cannot offer, or **attention and trust**, the reason people choose you. This is not a verdict on the task. It tells you where not to place your claim of advantage. ## What gets cheaper and what becomes an advantage | Gets cheaper (`output`, a commodity) | Becomes an advantage (`outcome`, which you own) | | --- | --- | | Standard text, a first draft, or an initial summary | Problem framing and a precise question | | Analysis based on a standard template | Judgment and taste: what is right or good here | | Routine code or a standard design | Trust and relationships with specific people | | Answering a common question | Attention and distribution: who gets chosen, and why | | Putting data into one format | Responsibility for the result and its consequences | | Translation, transcription, or formatting | Unique context and data that other people do not have | ## Fill this out for one task - **Task or product:** `__________________________` - **Main lever (sales and growth / cost savings / attention and trust):** `____________` - **Can cheap AI already do this on its own?** (almost completely / partly / no): `____________` - **Does this set you apart?** (unique / somewhat / same as everyone else): `____________` - **Your conclusion:** `__________________________` - If the lever is cost savings and AI can already do it, the task is becoming a baseline. Do it, but do not expect it to set you apart. - If the answer is "same as everyone else" and AI can do it, this is cheaper `output`. Automate it and free your time. - If it is unique and the lever is sales and magic, or attention and trust, this is your `outcome`. Strengthen it. - **One move:** What `output` will you hand to AI, and which `outcome` will you keep and strengthen yourself? `__________________________` This filter does not measure money or calculate return on investment (ROI). It points you in a direction: where value is getting cheaper and where it still belongs to you. Calculate exact savings and revenue separately, using your own data. Use one lever for one task. If the task mixes several levers, split it into parts. - Sort your week into task buckets and see how much of it is already getting cheaper: [Review your week](week-inventory.md) (Chapter 3). - Decide where to move your `outcome`: [Your usefulness level](usefulness-levels-self-check.md) (Chapter 5). - Follow the full route in the [Volume 1 workbook](tom1-workbook.md). - If you lead a team or a small business, apply the same filter to business functions with the [Small business AI staff map](smb-staff-map.md) (Volume 2). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Worksheet: inventory one week > Practicum for the task buckets exercise in Chapter 3 and the three-lever filter in Chapter 2. > Time: one evening. Use your **calendar and messages from last week**, not your job description. Record what you actually did. **Faster option:** Use the [interactive browser version](../skills/week-inventory/). Enter your tasks and the tool calculates your exposure. You do not need to install anything, and your data stays on your device. 1. List **10 to 15 tasks** that took up your time last week. Be specific. Do not write "managed projects." Write "collected a contractor status update," "wrote to an unhappy customer," or "prepared a table for management." 2. Put each task in a **bucket**: green, "AI alone"; yellow, "human plus AI"; or red, "human only." Judge the task by what today's tools can do, not by habit. If you are unsure, use the two questions from Chapter 3: Is the result digital? Can the work be done remotely? 3. Assign each task a **lever** from Chapter 2: 1, new revenue; 2, cost savings; 3, attention and trust; or "none" if it has no lever. That kind of task keeps you busy but does not create value. 4. Calculate the **share of your time in the green and yellow buckets**. This is your personal exposure. You are measuring your own week, not the profession as a whole. | # | Specific task | Bucket: green / yellow / red | Hours per week | Lever: 1 / 2 / 3 / none | Decision: hand to AI / strengthen / remove | | --- | --- | --- | --- | --- | --- | | 1 | | | | | | | 2 | | | | | | | 3 | | | | | | | 4 | | | | | | | 5 | | | | | | | 6 | | | | | | | 7 | | | | | | | 8 | | | | | | | 9 | | | | | | | 10 | | | | | | | 11 | | | | | | | 12 | | | | | | | 13 | | | | | | | 14 | | | | | | | 15 | | | | | | **Result:** time in green + yellow = ____% | tasks with no lever = ____ ## Three questions to answer afterward 1. Which of my tasks have **already become cheaper**, even if I still do them by hand? 2. Which tasks do I keep because they make me **feel busy**, rather than because they change a result? 3. Which red-bucket tasks are almost missing from my week, **and why**? Does my role lack them, or am I avoiding them? ## Three honest scenarios - **Put the list away:** A year from now, your week looks the same, but the market values it less. - **Go faster inside the green bucket:** This helps as a skill but fails as a strategy. Volume grows where the premium is moving toward zero (Chapter 2). - **Shift the weight:** Set a six-month target of adding **two or three red-bucket tasks to your week**. This takes longer than learning new prompts, but it moves you toward work whose value is rising. > The full profession map, the Task-to-Outcome Map, appears in Chapter 9 and in the live version of this repository. Reassess the buckets every six months because the boundary keeps moving. --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- reading_level: b2 title: Role catalog description: Pick your role and turn a broad question about AI into a practical review of real work. --- # Role catalog: choose yours > Entry point 1 in the Practicum: "How does AI change my work?" The roles are grouped by field. Each role page is a hub: task baskets, before and after, red flags, a minimum tool set, then a route into an audit and a plan. **Date: 2026-06.** If your exact role is not here, search by task in [_by-task.md](_by-task.md). The full role-page template is [lawyer.md](lawyer.md). The other pages follow it. You can also browse by the [company model](_company-model.md), based on Porter's value chain. For the wider picture, see the [data review](_super-analysis.md): what AI may replace and what remains, using GDPval, the Anthropic Economic Index, and O*NET. > **Ready-made skills and role plugins.** Common roles already have instruction sets for agents and role-specific plugins. See [skill banks](../watch/skill-banks.md) to browse them or build your own. | Field | Roles | | --- | --- | | **Legal and compliance** | [Lawyer](lawyer.md) | | **Finance and accounting** | [Accountant](buhgalter.md) · [Financial analyst](finanalitik.md) | | **Marketing and content** | [Marketer](marketolog.md) · [Designer](dizayner.md) | | **Analytics and data** | [Analyst](analitik.md) | | **Sales and customer work** | [B2B sales](sales-b2b.md) · [Customer support](podderzhka.md) | | **HR and people** | [HR specialist](hr.md) | | **IT and product** | [Developer](razrabotchik.md) · [Product manager](product-pm.md) | | **Education** | [Teacher](uchitel.md) | | **Healthcare** | [Doctor](vrach.md) | > All 13 Volume 1 roles are ready. Business roles, such as an SME owner or a team built around agents, belong in **Volume 2**. > --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Career ladder self-check > Practicum for Chapter 4, "The Ladder Breaks: Entry and Mid-Career." > Practicum URL: `https://cheap-intelligence.vercel.app/en/`. Goal: In one evening, find the weak point in your career ladder: entry, middle, or top. ## 1. Three questions | Question | Your answer | What counts as a risk signal | | --- | --- | --- | | What am I learning through my work now? | | My week has no tasks just above my current level. AI or a senior colleague does all the work that could help me grow. | | What do I own, and what do I pass along? | | Most of my week goes to status updates, summaries, forwarding information, and checking other people's work. | | Who learns from my simple tasks? | | Agents already handle all routine work, so beginners have no safe place to practice. | ## 2. Your weak section Choose one section to focus on for the next 90 days. | Section | Choose this if | Main move | | --- | --- | --- | | Entry | You are looking for a first chance, but there are fewer "simple tasks" available | Build proof of a result instead of waiting to gain seniority | | Middle | You are no longer a beginner, but you spend much of your time passing along other people's work | Shift your time from forwarding work to owning an outcome | | Top | You are responsible for people, a team, or hiring | Design an apprenticeship instead of hoping one happens on its own | ## 3. One move this week Choose one action you can finish within seven days. | Section | Action | | --- | --- | | Entry | Make one small public artifact: an analysis, prototype, template, short research note, or working example | | Middle | Calculate how much of your week goes to passing work along, then choose one handoff for an agent to handle | | Top | Find one learning task that you will not automate completely because a person can grow by doing it | ## 4. Check again in one month - What can I do better now, not just faster? - Which task has become mine to own? - Who did I give work that can help them grow? --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Team apprenticeship audit: the 3Cs > Practicum for Chapter 4, "The ladder is breaking: entry and middle roles." > Based on Matt Beane's *The Skill Code*: challenge, complexity, connection. Goal: check whether your team has removed the ladder that its next generation needs to grow. ## 1. Challenge: is the work hard enough to teach | Question | Yes / no | What should change | |---|---|---| | Do new team members get tasks just above their current skill level? | | | | Do they have safe tasks where they can make a mistake and review it? | | | | Does AI help them learn instead of simply giving them a finished answer? | | | ## 2. Complexity: can the person see the whole process | Question | Yes / no | What should change | |---|---|---| | Does the new team member understand why the task matters and who needs the result? | | | | Can they see the full path from request to decision and how their task fits? | | | | After routine work was automated, did the team keep hands-on reviews of real cases? | | | ## 3. Connection: is there a relationship with an expert | Question | Yes / no | What should change | |---|---|---| | Does someone review the new team member's work and give useful feedback? | | | | Is there enough trust to let the person do the work instead of only watching? | | | | Do senior staff get time and recognition for developing other people? | | | ## 4. Overall risk | Level | Sign | What to do | |---|---|---| | Low | Most of the 3Cs are healthy | Decide which tasks you can automate without weakening learning | | Medium | One of the 3Cs is weak | Restore the missing part during the next quarter | | High | New people only watch or edit completed work | Assign learning tasks and mentors. Otherwise, your skill pipeline is already broken | ## 5. The manager's decision Write down one task that the team will keep as a learning task even after automation: `...` Write down one person who will own the new team member's growth: `...` --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Worksheet: my usefulness level > Practicum for Chapter 5, "Five Levels of New Usefulness." > Time: 30 to 40 minutes. > Use your last working week, not your resume or job description. **Faster option:** The [interactive browser version](../skills/usefulness-level-check/) identifies the level of a task and challenges inflated ratings. You do not need to install anything, and your data stays on your device. Goal: Find the level of one specific task. This is not a rating of you as a person. It shows what you are paid for in the connection between your work, AI, and the result. ## 1. Choose one task Pick a result you produced with AI during the past week. Be specific: - prepared the first draft of a presentation; - reviewed a contract; - assembled a report; - replied to a customer; - analyzed a spreadsheet; - prepared a recommendation for a manager. Do not write something broad such as "worked on the project," "handled customers," or "did analysis." **My task:** `____________________________________________________________` ## 2. Four questions | Question | Your answer | | --- | --- | | Which outcome was supposed to change? | | | Who made a decision based on the result? | | | Which error would have been unacceptable? | | | Next time, what will improve my context rather than the model's capabilities? | | If you cannot answer any of the four questions, the task is probably at level 0 or 1. You made the output faster, but you do not yet own the checking process, the workflow, or the outcome. ## 3. Find the task's level | Level | Quick sign | Does this describe your task? | | --- | --- | --- | | **0. Instruction follower** | Received an assignment and delivered the result | | | **1. AI user** | Used a model to work faster | | | **2. Validator** | Checked criteria, quality, and risk | | | **3. Orchestrator** | Built a workflow from people, an agent, data, and tools | | | **4. Outcome owner** | Took responsibility for a metric, customer, money, or risk | | | **5. System builder** | Packaged the solution so it works without you | | **Current level of this task:** `____` **Why:** `____________________________________________________________` ## 4. Your level for the week Choose the three main tasks from your week and mark each one's level. | Task | Hours | Current level | Why | | --- | --- | --- | --- | | | | | | | | | | | | | | | | **My default level in the week's main tasks:** `____` This is not a score for you. It maps the place you usually take in the tasks that shape your market value. ## 5. Pick one task to move up Choose one task where moving up one level would create the most value. **Task:** `____________________________________________________________` **Why this task:** `____________________________________________________________` **Next level:** `____` Continue with the [One move to the next level plan](plus-one-level-plan.md). ## Check for self-deception - Producing more of the same output does not move you above level 1. - If the model does everything and you only forward its answer, you are still at level 0, only faster. - Without criteria for what "correct" means, you are not yet a validator. - If nobody knows who owns the outcome, you are not yet the outcome owner. - If the solution cannot run without you, it is not yet a system. --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Plan: one move up one level > Practicum for Chapter 5, "Five Levels of New Usefulness." > Time: 25 minutes. Do not try to change your whole career. Choose one task for the next 90 days. ## 1. The task | Field | Answer | | --- | --- | | Task | | | Current level | | | Next level | | | Why this task | | | Which outcome should change | | ## 2. Transition map | Transition | First move | What to check in one month | | --- | --- | --- | | **0 to 1** | Hand machine work to the machine | The result arrives faster, but still goes through a human check | | **1 to 2** | Stop delivering unchecked work | You have three to five criteria for what "correct" means | | **2 to 3** | Build a workflow | You know the agent, the human, the data, and the handoff where things can break | | **3 to 4** | Take responsibility | You have named the metric and the person who owns it | | **4 to 5** | Turn the solution into a system | The result can be reproduced without its creator's daily involvement | ## 3. My move | Time frame | What I will do | | --- | --- | | In the next seven days | | | In 30 days, I will check | | | In 90 days, the task should look like this | | ## 4. Example moves | Situation | Move up one level | | --- | --- | | A specialist uses AI to produce reports faster, but nobody reads them | Move from 1 to 2: agree on the criteria for "this report helped someone make a decision" | | A manager collects status updates from ten sources by hand | Move from 2 to 3: an agent prepares a draft, and a human checks the handoffs and exceptions | | A business owner receives a draft tax return from a service | Move from 1 to 2 or 4: decide who checks the risk and who is responsible to the tax authority | | A team repeats the same manual check every week | Move from 4 to 5: turn the check into a checklist, template, or tool | ## 5. No polished imitation The plan does not count if: - you wrote a new prompt but did not change the checking criteria; - you made the output faster but did not make the outcome clearer; - you passed the risk to the model; - you called it a system, but it does not work without you; - you do not know how you will tell whether it is better in one month. ## Final formula **One level. One task. One quarter.** One honest move per quarter gives you four moves a year. Few people climb this ladder faster. --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Task-to-Outcome Map > Practicum for Chapter 6, "The Human as a System." > Time: 40 to 60 minutes. > Use real tasks from your last working week, not your job description. Goal: See where your time goes to output that is getting cheaper, and where it goes to work that is becoming more valuable. This is the starting point for building your personal harness. ## Step 1. Choose three tasks Pick three tasks from your last working week. Do not choose the most enjoyable or the hardest ones. Choose the most **typical**, the tasks that keep coming back. Be specific: - "wrote the monthly portfolio report" - "prepared a proposal for Client X" - "reviewed a contract with a vendor" - "made a presentation for the board" - "answered support requests" Do not write something broad such as "worked on the project" or "handled customers." **Task 1:** `______________________________________________` **Task 2:** `______________________________________________` **Task 3:** `______________________________________________` ## Step 2. Seven questions for each task Complete the table for each of the three tasks. You can start with one. It takes about 15 minutes. ### Task 1: `_____________` | # | Question | Your answer | | --- | --- | --- | | 1 | **What do I do?** List the physical steps you take to complete this task | | | 2 | **Why is it needed?** What should change for the person who asked for it, such as a manager, customer, or colleague? | | | 3 | **What can AI do?** Which parts of item 1 can AI already do, or do faster or at a lower cost? | | | 4 | **Where is a human needed?** Where would an AI error be expensive? Where do judgment, trust, or responsibility matter? | | | 5 | **How can I measure the value?** What changed for the person who requested the task after my work? | | | 6 | **What should I stop doing?** Which actions from item 1 are getting cheaper and no longer need my effort? | | | 7 | **Where can I move up?** Which role or level could I take in this task if item 6 freed some time? | | ### Task 2: `_____________` | # | Question | Your answer | | --- | --- | --- | | 1 | **What do I do?** | | | 2 | **Why is it needed?** | | | 3 | **What can AI do?** | | | 4 | **Where is a human needed?** | | | 5 | **How can I measure the value?** | | | 6 | **What should I stop doing?** | | | 7 | **Where can I move up?** | | ### Task 3: `_____________` | # | Question | Your answer | | --- | --- | --- | | 1 | **What do I do?** | | | 2 | **Why is it needed?** | | | 3 | **What can AI do?** | | | 4 | **Where is a human needed?** | | | 5 | **How can I measure the value?** | | | 6 | **What should I stop doing?** | | | 7 | **Where can I move up?** | | ## Step 3. Read the whole map Look at the three completed sections together. Answer these questions. **What share of your week goes to the tasks in item 3, "What can AI do?"** `_____%` More than 50% was normal in 2025 and 2026. This is not a failure. It shows where to start. **Where is your verification point?** Across item 4 in all three tasks, which AI error would cost the most? `______________________________________________` Your harness needs the strongest controls at that point. Your expertise is also most valuable there. **Which single move from item 7 would create the most value next quarter?** `______________________________________________` ## Example: an analyst at an insurance company from Chapter 6 Task: "Monthly report on portfolio loss ratio." | # | Question | Answer | | --- | --- | --- | | 1 | What do I do? | Collect data from three systems, build summary tables, and explain the numbers | | 2 | Why? | Management uses the report to make pricing and segment decisions | | 3 | What can AI do? | Assemble the report from a template, explain standard patterns, and format its structure | | 4 | Where is a human needed? | Account for the past week's regulatory context, tell an artifact from a trend, and take responsibility for the recommendation | | 5 | How can I measure it? | Whether management makes decisions from the report and how accurate the forecasts are | | 6 | What should I stop doing? | Rebuilding data by hand, reformatting tables, and writing standard explanations | | 7 | Where can I move up? | Move from "report compiler" to "analyst who frames the question that matters now" | **What the example shows:** The analyst spent 75% of the time on item 1, collecting data, and item 3, writing standard explanations. The real value was in items 4 and 5. Automating item 6 created time for that work. ## Next After you complete the Task-to-Outcome Map, continue with the [Personal Harness Builder](personal-harness-builder.md). It will show which harness layer to build first. --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Personal Harness Builder > Practicum for Chapter 6, "The Human as a System." > Time: 30 to 45 minutes. > Use this after the [Task-to-Outcome Map](task-to-outcome-map.md), once you know which tasks you are analyzing. A harness is the system around AI that shapes the result. Chapter 6 describes six layers of personal usefulness and one practical layer called `skills`. Skills are repeatable ways of working that you do not need to explain to AI every time. This worksheet shows what your harness looks like today. > Faster in your browser: Use the [Personal Harness Builder](../skills/personal-harness-builder/) to score all seven layers and find the weak link and your next move. ## Step 1. Inventory your week Use three tasks from the Task-to-Outcome Map worksheet, or recall three typical tasks from last week. For each task, answer one question: **Which AI tool did you use, and how did you use it?** | Task | Tool | How you used it | | --- | --- | --- | | | | | | | | | | | | | An empty Tool column is a signal. It does not always mean there was no opportunity. It may mean there was no system. ## Step 2. Score each layer Score each layer of your harness from 1 to 3: - **1** = missing or improvised each time - **2** = present but inconsistent - **3** = works as a system every time ### Thinking: I think with AI without losing the skill - Do I have a regular way to work with AI on hard tasks, beyond asking a question and copying the answer? - Can I tell when AI is wrong and when it is right? - Can I still complete important tasks without AI when I need to? **My score:** `___` / 3 **What I do now:** `______________________________________________` **What I want to improve:** `______________________________________________` ### Knowledge: my personal knowledge base - Do I have one place for useful materials, conclusions, and templates from earlier tasks? - Can I give an AI tool the context for a new task in two minutes? - Do I own my knowledge base, rather than leaving it in work systems I may lose access to? **My score:** `___` / 3 **What I do now:** `______________________________________________` **What I want to improve:** `______________________________________________` ### Tools: tools with clear jobs - Can I explain why I use each AI tool instead of another one? - Do I have three to five basic tools with clear jobs, rather than 20 subscriptions "just in case"? - Do I review my tool set once a quarter rather than every two weeks? **My score:** `___` / 3 **What I do now:** `______________________________________________` **What I want to improve:** `______________________________________________` ### Proof: public work artifacts - Do I have something public, such as an article, repository, case, presentation, or portfolio, that shows what I can do? - Have I created artifacts during the past six months, rather than only completing internal tasks? - Can someone outside my team judge my work from public material? **My score:** `___` / 3 **What I do now:** `______________________________________________` **What I want to improve:** `______________________________________________` ### Trust: a reputation for quality and accuracy - When I deliver work, do colleagues and customers trust that I checked the facts and data? - Do I verify AI output before passing it to someone else? - When people in my field need a reliable result, do they name me? **My score:** `___` / 3 **What I do now:** `______________________________________________` **What I want to improve:** `______________________________________________` ### Outcome: a link to a real result - Can I explain how my work affects a metric, a decision, or a customer, rather than only saying that I completed the task? - In the past month, could I point to something and say, "This changed because of that work"? - Do I track whether the person who requested the work uses what I made? **My score:** `___` / 3 **What I do now:** `______________________________________________` **What I want to improve:** `______________________________________________` ### Skills: repeatable parts of the system - Do I have at least one repeatable way of working with AI written as an instruction, rather than stored only in my head? - After a task repeats three times, do I turn it into a template, checklist, or `skill`? - Do my skills set boundaries where AI must stop and ask a human? **My score:** `___` / 3 ## Step 3. Read your scores Put all your scores in one place: | Layer | Score | | --- | --- | | Thinking | `/3` | | Knowledge | `/3` | | Tools | `/3` | | Proof | `/3` | | Trust | `/3` | | Outcome | `/3` | | Skills | `/3` | | **Total** | **/21** | **Find the weakest layer**, with a score of 1 or 2. A harness is a system, and one weak link can limit the rest. Improving three layers together usually works better than polishing one layer that is already strong. **My priority layer:** `______________________________________________` ## Step 4. One specific move for the next two weeks Write a concrete action, not "improve Knowledge." Too vague: "Create a knowledge base." Specific: "By Friday, create one folder in Notion or Obsidian for conclusions from work meetings." Too vague: "Get better at verifying AI." Specific: "For every report I send to my manager, check the three main numbers by hand." Too vague: "Make some skills for myself." Specific: "Write one skill for the weekly report: inputs, steps, checks, and the point where AI must stop." **My one move for the next two weeks:** `______________________________________________` `______________________________________________` **Date I will check the result:** `____________` ## Connection to the Task-to-Outcome Map If you completed the Task-to-Outcome Map first, look at question 4, "Where is a human needed?" Your weakest harness layer may sit exactly where you identified the human's most important role. That makes sense. Trust and Thinking grow through regular practice, not through buying tools. ## Next For examples of harness levels and skills, see [Examples by Level](../harness-examples/examples-by-level.md). For a map of tools by layer, see [Tools Map by Layer](../tools-map/tools-map-by-layer.md). For the chapter overview and navigation, see [Chapter 6 Companion](../chapters/06-chelovek-kak-sistema.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Turn a repeated task into a skill > Practicum for Chapter 6, "The Human as a System." Time: 20 to 30 minutes. > Continue here after the [Personal Harness Builder](personal-harness-builder.md). Once you can see your harness, package one repeatable part as a portable skill. ## Why this helps Use a simple rule: **If you explain the same logic to AI for the fourth or fifth time, it is already a skill.** The problem is not that the model is slow to learn. You have not yet built a system for that procedure. Repeating one explanation can cost 8 to 12 minutes a day. Across a month and several tasks, that becomes hours. A skill is an instruction file called `SKILL.md`. An agent loads it when a task falls within its scope. Write the logic once, then stop explaining it from scratch. You can find skills made by other people in [skill banks](../watch/skill-banks.md). This worksheet helps you make your own. ## Step 1. Find a candidate Choose a repeated procedure that you keep explaining from the beginning. | Sign | Your example | | --- | --- | | I have explained this to AI at least four times | | | I explain it a little differently each time, so the result varies | | | I know what "done correctly" means | | If all three rows fit, you have a skill candidate. Start with the one you repeat most often. ## Step 2. Describe the procedure in plain language Answer four questions. Your answers will form the body of the skill. 1. **When to use it.** Which tasks should trigger this skill? 2. **What goes in.** Which materials or data do you provide? 3. **How to do it.** Write the steps you usually explain each time. 4. **What comes out and how to check it.** Define the output format and your verification point. ## Step 3. Build the `SKILL.md` file Copy and complete this minimal template: ```markdown name: contract-review desc: Reviews an incoming contract and lists risks for my side, with a quote from each relevant clause. ## When to use Use this skill when I provide a contract and ask you to assess its risks. ## Input The contract text, link, or file. ## Steps 1. Identify risks for MY side. I am the customer. 2. Sort the risks by severity. 3. Quote the relevant clause for each risk. 4. Suggest revised wording. ## Output Table: risk | severity | clause quote | suggested revision. I check every quote against the contract and take responsibility for the decision. ``` ## Step 4. Put it where the agent can find it - Add the file to the skills folder used by your AI tool or agent. Claude Code, Codex, Cursor, and other tools use different paths. - Give the file a clear name. One job belongs in one skill. ## Step 5. Test and update it - Run the skill on one or two real tasks. If the result varies, make the steps more precise. - Review it once a month. Remove what is outdated and add what is missing. - **Access and security:** A skill that can reach email, files, or money should require confirmation and run in a [sandbox](personal-harness-builder.md). Treat someone else's skill as you would treat someone else's code. See [trusting a skill](../watch/skill-banks.md). ## What you get Your list of skills becomes a portable part of your harness. When you start an agent, it can load the right skill for the task. The irritation of explaining the same thing again is useful evidence. It points to the next skill you should write. > Related: [Personal Harness Builder](personal-harness-builder.md) | [Skill banks](../watch/skill-banks.md) | [Prompts: method and verification](../prompts/index.md) | [Profession library](../applications/_index.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Tools map by layer > Practicum for Chapter 6, "The Human as a System." > Update this page when new evidence appears. The selection principles stay stable, while examples change. **Important:** Chapter 6 avoids naming specific tools because they change quickly. This page is the living version. It gives selection principles for each layer and dated examples. The examples show a class of tools and are not recommendations. The [Tools Map](../watch/tools-map.md) lists concrete options for every layer, and the card for your profession lists tools for that role in the [catalog](../applications/_index.md). --- ## How to read this map Each layer of the personal AI system has one selection question, a short set of criteria, and dated examples of a tool class. Ask three questions before adding anything to your system: 1. Can I explain this tool's role in the system? 2. Does it solve a task I have already identified in the TOM? 3. Will I use it regularly, at least once a week? If the answer is no, you do not need the tool now. --- ## Layer 1: Thinking **Selection question:** Does the tool help me think with AI while keeping my own judgment active? **Criteria:** - Supports a conversation instead of one request followed by one answer. - Holds a long context without losing the thread. - Lets you ask follow-up questions and change direction. **Tool class (examples, 2025-2026):** - Long-context chat: Claude, GPT-4o, Gemini Advanced for iterative reasoning. - Conversation workspaces: Claude Projects and ChatGPT Projects for persistent topic context. - Native voice mode when thinking on the move matters more than typing. **Sign of a weak Thinking layer:** you ask AI one question, copy the answer, and stop. --- ## Layer 2: Knowledge **Selection question:** Can I give the AI tool enough task context within two minutes? **Criteria:** - Stores notes in a form you can copy into an AI chat. - Searches content rather than only tags. - Keeps data somewhere you control, including outside company systems. **Tool class (examples, 2025-2026):** - Searchable personal knowledge bases: Obsidian, a personal Notion space, Bear. - Vector search across your documents: NotebookLM and Mem.ai for questions about your own corpus. - Structured notes with backlinks: Logseq and Roam Research for nonlinear connections. **Sign of a weak Knowledge layer:** every AI task starts with more than 20 minutes of searching for the right material. --- ## Layer 3: Tools **Selection question:** How many tools do I use actively, and can I explain the role of each one? **Criteria for every tool:** - I use it at least once a week. - I can explain why it is better than an alternative for a specific task. - It saves at least 30 minutes a week or makes something possible that I could not do before. **Basic roles, meaning functions rather than products (2025-2026):** - Capable chat and reasoning for difficult analysis, synthesis, and planning. - Search with summaries for research, such as Perplexity or Gemini with search. - A specialist agent for recurring work in code, law, finance, or another field. - Workflow automation that connects tools when a task repeats more than five times a week. **Sign of a weak Tools layer:** you pay for more than 15 subscriptions and still keep looking for something new. --- ## Layer 4: Proof **Selection question:** Where can someone outside my team see my work? **Criteria:** - The artifact is available without registration or behind only a small barrier. - It shows your way of thinking as well as the final result. - You updated it within the past six months. **Tool class (examples, 2025-2026):** - Public writing: Substack, Medium, or a Telegram channel with an archive. - Professional portfolios: LinkedIn with cases rather than only job titles, and GitHub. - Video and audio: short explanations of difficult ideas through YouTube Shorts or podcasts. - Repositories and templates: open materials that other people use. **Sign of a weak Proof layer:** only people who worked with you directly know about your expertise. --- ## Layer 5: Trust **Selection question:** Does the process include a consistent review before the result moves forward? **Criteria:** - Review is part of the workflow, not something you do "when there is time." - It checks the mistakes that AI tends to make in your field. - It takes less than 15% of the task's total time. **Verification principles (2025-2026):** - Check numbers and statistics manually against a primary source rather than through AI. - Check legal and financial conclusions against current rules, not the model's training data. - For professional recommendations, ask what has changed since 2024. Many models have a knowledge cutoff. **Sign of a weak Trust layer:** you pass along the AI result without reading or checking it. --- ## Layer 6: Outcome **Selection question:** Is my work connected to a measurable result for the customer? **Criteria:** - I know the metric that should change for the customer after my work. - I learn whether the customer used the result. - One month later, I can say what changed. **Measurement tools (examples, 2025-2026):** - Direct metrics: OKRs or KPIs in a personal tracker, Notion, or a quarterly results table. - Indirect metrics: customer feedback and links to your work in other people's documents. - Portfolio tracking: compare tasks in the TOM after three months and see what changed in the "next level" column. **Sign of a weak Outcome layer:** you can describe what you did but cannot say what changed. --- ## How to update this map - Review named tools every six months. - Keep the principles and criteria stable unless the nature of a layer changes. - Update the version date whenever the examples change. - Do not add a tool until you have tested it in a real work task. For examples of personal AI system levels and skills, see [Examples by Level](../harness-examples/examples-by-level.md). For the full Chapter 6 bibliography with verified links, see [Volume 1 sources](../sources/tom1.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Five scarcity audit > Practicum for Chapter 7, "Skills That Become More Valuable." Time: 25 to 30 minutes. > Use your last working week, not your resume. **Faster option:** The [interactive browser version](../skills/five-deficits-audit/) helps you choose one scarce capability for the quarter and suggests a move. You do not need to install anything, and your data stays on your device. As output gets cheaper, five capabilities become scarce: **judgment, taste, trust, attention, and distribution**. Here, distribution means getting your work in front of the right people. Authenticity is not a sixth item. It is a quality of all five. Each one becomes more valuable when people can see the human behind it. This worksheet is not a list of "future skills." It is a diagnosis. Which scarce capability do you already have but the market cannot see? Which one is weak? ## Step 1. Three tasks from your week Choose three specific tasks. If you completed the [usefulness level self-check](usefulness-levels-self-check.md), use the same tasks. Do not write "worked on a project." Write "reviewed a contract" or "assembled a report." 1. `____________________________` 2. `____________________________` 3. `____________________________` ## Step 2. Five questions for each task Answer one question about each scarce capability for every task. | Scarce capability | Question | | --- | --- | | **Judgment** | Which decisions depend on the situation and stay with me? What happens if the model makes them? | | **Taste** | How many options do I choose from, and what standard tells me that one is good? | | **Trust** | Does someone check my work again, or do they approve it without checking? | | **Attention** | Did the result reach the person who makes the decision? | | **Distribution** | Will anyone outside this task know that I did the work? | ## Step 3. Map the five capabilities Mark each task as **strong / neutral / weak**. You can also use the special mark **"not visible."** Use it when you have the capability but the market cannot see it. Your move then points toward authenticity and proof. | Scarce capability | Task 1 | Task 2 | Task 3 | Not visible? | | --- | --- | --- | --- | --- | | Judgment | | | | | | Taste | | | | | | Trust | | | | | | Attention | | | | | | Distribution | | | | | ## Step 4. One capability, one move, one quarter Choose **one** scarce capability where a move would help most. Do not choose three. - **My scarce capability:** `____________` - **One move this quarter:** For example, "Distribution is weak, so I will publish one analysis each month," or "My judgment is not visible, so I will write down the criteria I use to tell solid work from work that only looks convincing." `____________________________________________________________` - **Review date:** `____________` ## Check for self-deception - A capability counts as strong only when you can name an example and its consequences. A self-rating is not enough. - Other people's behavior confirms trust. For example, they approve your work without checking it again. Your own feeling does not confirm it. - Make one move, not three. Splitting your effort across all five usually produces no change. > Current skill premiums and authenticity infrastructure: [Skills that pay](../watch/skills-that-pay.md). > > Back: [Chapter 7 Practicum](../chapters/07-navyki-kotorye-dorozhayut.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Cognitive debt checklist > Practicum for Chapter 8, "Cognitive Debt." Time: 5 minutes. > Use this for important tasks and for any result that looks a little too polished. You do not need it for every request. Cognitive debt means taking productivity today in exchange for skill tomorrow. Sometimes you choose that debt on purpose. The problem starts when it becomes a habit and you stop noticing it. > Faster in your browser: The [Cognitive Debt Tracker](../skills/cognitive-debt-check/) asks seven questions, identifies your mode, and suggests one move that brings back useful friction. ## Seven questions Use these questions for an important task you just completed with AI. - [ ] Did I **explain** the reasoning, rather than only deliver the result? - [ ] Did I **check** at least one fact or source outside the model? - [ ] Do I understand the solution well enough to **repeat it without AI**? - [ ] Did this task make me **more capable**, not just faster? - [ ] Which skill did I **skip practicing** by giving it to the machine? `____________` - [ ] Where did I **deliberately** keep work for myself without AI? `____________` - [ ] Does this "done" look too smooth? Did I miss an error because I did not want to check? ## How to read the result There is no score. If most answers work against you, you are taking on debt. This does not mean you are working badly. It means one of two things: you chose the debt on purpose, or it has become a habit and you need to bring back some friction. > Next: [Audit your way of working with AI](ai-mode-audit.md) and the prompt bank [Training, not answers](training-not-answers.md). > > Back: [Chapter 8 Practicum](../chapters/08-kognitivnyy-dolg.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Audit your way of working with AI > Practicum for Chapter 8, "Cognitive Debt." Time: 5 to 7 minutes. > Use a real working week. The mode describes a task, not you as a person. There are three modes: - **Cyborg:** You work with the model and keep challenging its choices. - **Centaur:** You divide the work in advance. Some parts go to the machine, and some stay with you. - **Self-automator:** You hand over the entire task and leave the decision loop. The goal is to find where you left the loop and step back into it. ## Step 1. Three typical tasks from your week Use the same tasks from the [usefulness level self-check](usefulness-levels-self-check.md) if you completed it. 1. `____________________________` 2. `____________________________` 3. `____________________________` ## Step 2. Three questions for each task | Question | Task 1 | Task 2 | Task 3 | | --- | --- | --- | --- | | Did I stay inside the decision process? | | | | | Did I give AI one part or the whole process? | | | | | Did my skill improve afterward? | | | | ## Step 3. Mark the mode Label each task **cyborg / centaur / self-automator**. The amount of AI use does not decide the label. What matters is whether a human stayed in the loop. | Task | Mode | | --- | --- | | 1 | | | 2 | | | 3 | | ## Step 4. Make one shift Choose one self-automated task. Add some productive friction from [Training, not answers](training-not-answers.md), or repeat the task without AI. - **Task:** `____________` -> **What I will change:** `____________________________` ## Step 5. Identify training tasks Mark the tasks that build judgment, taste, diagnosis, explanation, or responsibility. **Do not hand these tasks to AI in full.** `____________________________________________________________` Move this list to the [Task-to-Outcome Map](task-to-outcome-map.md), under "training tasks," and to the [integrated profession audit map for Chapter 9](profession-audit-integrated.md). > Back: [Chapter 8 Practicum](../chapters/08-kognitivnyy-dolg.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Prompt bank: useful friction instead of a finished answer > Practicum for Chapter 8, "Cognitive Debt," and Volume 2, Chapter 7, "Children." > This is **not** a list of 100 prompts. It is one principle with examples. The left column hands the thinking to the machine. The right column keeps some effort with you. Each pair explains what it trains. ## Core examples from Chapter 8 | Hands over the skill | Trains the skill | Why it trains | | --- | --- | --- | | "Write a reply to the customer" | "Give me three tone options and the tradeoffs of each. I will choose." | You keep judgment and taste | | "Draw a conclusion from this table" | "Show me two hypotheses and where the data does not support them" | You check instead of accepting the answer | | "Solve the problem" | "Explain two approaches. I will choose one and finish it." | You remain the author of the solution | | "Write the code" | "Sketch the structure and mark the places where errors are likely" | You understand what you run | | "Write the strategy" | "Ask me five questions that must be answered before a strategy can be built" | The thinking stays with you | ## More examples by task type This section changes as the tools change. **Writing and analysis:** Use "Challenge my draft as a skeptic" instead of "Rewrite this for me." Use "Which sources could disprove this?" instead of "Confirm this." **Code:** Use "Where will this break under load?" instead of "Optimize it." Use "Explain this line" instead of "Just fix it." **Decisions and strategy:** Use "Argue against my plan" instead of "Approve it." Use "What did I miss?" instead of "Make a plan." **Learning something new:** Use "Give me a problem that checks whether I understood" instead of "Explain it again." Or say, "Guide me with questions. Do not give me the answer right away." Every useful prompt should say **which effort stays with the human**. If the answer is "none," you have not added friction. You have only asked for the same finished answer in different words. Add your best new prompts at the top and include a short note explaining what each one trains. > Back: [AI mode audit](ai-mode-audit.md) | [Chapter 8 Practicum](../chapters/08-kognitivnyy-dolg.md) | [AI tutor training mode for children](ai-tutor-training-mode.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Integrated profession audit map > Practicum for Chapter 9, "Your Personal Career Audit." Time: 30 to 45 minutes. > Use your real working week, not your resume or job description. Chapter 9 does not add another tool. It **brings several earlier views into one picture**: your usefulness level from Chapter 5, personal harness from Chapter 6, AI working mode from Chapter 8, and Task-to-Outcome Map from Chapter 6. This worksheet gathers those results. If you already completed the other worksheets, copy their results here and update them. Goal: Put your diagnosis on one page. Show what is getting cheaper, where the weak point sits, which part of your value can survive change, and where you can move up one level. There is no score or "replacement index." This is a map, not a personality test. ## Section A. Task-to-Outcome Map for three or four tasks Choose three or four typical tasks from last week. Give each one a short review. The full version is in the [Task-to-Outcome Map](task-to-outcome-map.md). | Task | What it changes in the world (outcome) | What AI can already do | Where a human is needed | | --- | --- | --- | --- | | | | | | | | | | | | | | | | **Approximate share of the week spent on work AI can already do:** `____`% ## Section B. Five coordinates Complete each field. The source worksheet is shown in parentheses. 1. **Career ladder position** (entry / middle / top, from Chapter 4 and the [Career ladder self-check](ladder-self-diagnosis.md)): `____________` 2. **Usefulness level, 0 to 5** (from Chapter 5 and the [usefulness level self-check](usefulness-levels-self-check.md)): `____` 3. **AI working mode** (cyborg / centaur / self-automator, from Chapter 8 and the [AI mode audit](ai-mode-audit.md)): `____________` 4. **Weakest layer in my personal system** (Thinking / Knowledge / Tools / Proof / Trust / Outcome, from Chapter 6 and the [Personal Harness Builder](personal-harness-builder.md)): `____________` 5. **Durable value** (the part of you that is hardest to copy quickly, such as experience, taste, trust, relationships, or context): `____________________________________________` ## Section C. Diagnosis summary Complete each line with one phrase. - **What is getting cheaper** (tasks moving to the machine): `____________________________________` - **Weak layer or coordinate to fix first:** `____________________________` - **One durable source of value I can build on:** `____________________________` - **One move up one level** (the task where that move would help most): `____________________` This is your diagnosis on one page. You do not need a five-page development program yet. These four lines are enough to build the plan. ## Where to go next - See how the diagnosis turns into action, without writing the full plan yet: [From diagnosis to action](diagnosis-to-action-path.md). - Build the plan in Chapter 11: [Personal 90-day plan](personal-90-day-plan.md). - Compare your case with a profession example at `../applications/-audit.md`. > Back: [Chapter 9 Practicum](../chapters/09-lichnyy-audit-professii.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- reading_level: b2 title: "Example: Marina, a marketer, completes the Volume 1 workbook" description: A realistic completed Volume 1 route for a composite B2B marketer. --- # Example: Marina, a marketer, completes the full Volume 1 workbook > Marina is a composite character, and the figures are illustrative. This example shows what honest > answers can look like in the [Volume 1 workbook](../playbooks/tom1-workbook.md). **Marina is 34 and works in marketing at a B2B services company with about 80 employees.** She handles content, newsletters, landing pages, and lead reporting. She uses AI "like everyone else": to draft a post or rewrite an email. Her concern is familiar: "The machine writes the drafts now. What is left for me?" --- ## Step 1. Value lever, Chapter 2 - **The main lever in my work:** attention and trust, lever ③. The company wins business because prospects trust us before the first call. - **What gets cheaper, the output:** post copy, banners, and newsletter drafts. Anyone can produce these now. - **What remains mine, the outcome:** the result I am accountable for is leads from the "right" customers and a reputation that makes people recommend us. *Why this answer is honest:* Marina did not write, "My lever is content." Content is output. A lever is what someone pays for. ## Step 2. Sort the week into baskets, Chapter 3 She listed 13 tasks from the previous week using her calendar. The result: - **Share of time in 🟢 "AI alone":** about 35%, including post drafts, newsletter excerpts, an open-rate report, and webinar descriptions. - **The main 🔴 task where I cannot be replaced:** talking with sales about which leads are right for us and which are noise, then changing the positioning based on that conversation. - An uncomfortable finding: 3 of the 13 tasks are "busy work" with no value lever. One of them is moving the same report from one spreadsheet to another. ## Step 3. The ladder, Chapter 4 - **Entry / middle / top:** the middle. People assign tasks to me, but I have no one to delegate to. - **One nearby foothold:** the contractor budget for design goes through me. That is already a small piece of ownership, and I can expand it. ## Step 4. Usefulness level and a +1 move, Chapter 5 - **My default level:** 2, "I do what I am asked, do it well, and use AI to do it faster." - **Candidate task for +1:** the monthly lead report. Today I "make" it. I want to own the conclusion. The deliverable should be a page called "What this means and what we change," with my name on it, rather than a spreadsheet. ## Step 5. Personal system, Chapter 6 - **My weakest layer:** verification. AI writes drafts, but I do not have a checklist for accepting them. I rely on feel, which makes me afraid to delegate more. - **What AI already does in my tasks:** drafts, headline options, and call summaries. ## Step 6. One skill that is gaining value, Chapter 7 - **The skill I train deliberately:** customer judgment. Once a week, I review two deals with the sales team. Why did the customer arrive? Why did they buy or leave? The data does not contain those answers. ## Step 7. My mode of working with AI, Chapter 8 - **My mode:** honestly, I am a self-automator when I work on copy. I delegate it and do not read deeply. - **What I do without AI once a week:** I write one piece from scratch each month. It is a positioning piece where I must form the idea, not fill a format. This is training, not production. ## Step 8. Diagnosis, Chapter 9 - **What gets cheaper:** content production. About 35% of my week is already in 🟢. - **Weak point:** I have no verification loop of my own and accept AI work by feel. - **Value that does not burn away:** knowledge of the customer, trust from sales, and a sense for whether a lead is right for us. - **My +1:** own the conclusions about leads, not the spreadsheet. ## Step 9. Who I am, Chapter 10 - **I am responsible for:** bringing in the right customers and making sure they arrive prepared. My old answer was, "I create content and newsletters." ## Step 10. A 90-day plan, Chapter 11 - **One task:** the monthly lead report. - **Old rule:** "I collect the figures in a spreadsheet and send it out." - **New rule:** "AI collects the figures using my template → I check them against a 5-point checklist → I write half a page of conclusions → I defend them in the planning meeting." - **The capability I keep:** interpretation. I explain why the figures look this way and what should change. - **A verifiable change after 90 days:** the planning meeting discusses my conclusions rather than my spreadsheet. At least one decision each quarter follows my recommendation. - **The next level of responsibility:** ownership of one channel's budget. - **What remains as a system:** a report template, a verification checklist, and 30 minutes blocked in the calendar for conclusions. --- ## What to notice in this example 1. **None of the answers is heroic.** Marina does not become an "AI evangelist." She moves her effort from production, which is getting cheaper, to judgment and ownership of the conclusion, which are gaining value. 2. **The weak point was not where she expected it.** The issue is not "I cannot prompt." It is "I do not have my own verification loop." This is common because verification limits delegation. 3. **The plan rests on one task.** She is not trying to "change careers." She has one report, one habit, and one metric. That is a realistic scale for 90 days. Complete your own [Volume 1 workbook](../playbooks/tom1-workbook.md). See [the catalog](index.md) for more examples. --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Personal 90-day plan (30-60-90) > Practicum for Chapter 11, "Your First 90 Days: A Personal Plan." Time: 30 to 40 minutes. > Start with your diagnosis from Chapter 9 in the [Integrated profession audit map](profession-audit-integrated.md) and the Transferability Canvas in the book's appendix. Chapter 11 gives you a frame: one repeated task carried through to a change you can verify, not a list of 20 goals. This worksheet turns the chapter's one-page plan into a fillable form. Choose one task and finish it. A plan only works when you keep using it. ## Main form: one task for 90 days Do not create several goals in parallel. Take one task through an old rule, a new way of working, and a change you can verify. - **Task:** `________________________________________________________________` - **Old rule I follow now:** `_________________________________` - **New rule I want to make a habit:** `_______________________________________` - **Capability I will keep and practice myself:** `____________________________` - **Change that should be visible after 90 days:** `___________________________` > If you have several candidate tasks, choose one where someone else will notice the improvement, the work will leave behind a repeatable method, and AI will free you to use stronger judgment and take more responsibility. > The [Weak Multiplier Canvas](weak-multiplier-canvas.md) is only an extra filter. ## Choose a capability to practice: Naval's four pillars The hardest field is "Capability I will keep and practice myself." When AI makes production cheaper, skills that anyone can quickly hire or copy lose some of their advantage. Investor Naval Ravikant described four pillars that have become even more useful in the AI era. Treat them as a guide for choosing a capability to protect and practice, not as a secret formula for success. - **Specific knowledge.** You cannot learn it from a standard textbook or hire an identical replacement on the market. It grows from your path, curiosity, and unusual mix of interests. The more specific it is, the harder it is to copy. To practice it, follow your real interests instead of someone else's list of skills "in demand." - **Judgment.** When leverage such as AI is cheap and available to almost everyone, the amount of work matters less than the quality of the decisions about where to use it and where not to trust it. Practice judgment at the AI-free checkpoints that you keep for yourself during days 1 to 30. - **Building and selling.** One capability creates the result. The other gets it to the people who need it. Together they can produce an outsized return. AI can support both, but does not replace either one. - **Accountability.** Leverage and trust go to the person who takes a visible risk and puts their name behind the result, not simply to the person who works the most hours. This connects directly to the evidence you will collect during days 31 to 60: a result under your own name. This is one investor's view, not research or a guarantee of income. Use the structure without borrowing anyone else's numbers or promises. For more on leverage and its connection to transferability, see the [Weak Multiplier Canvas](weak-multiplier-canvas.md). The original sources are Naval Ravikant's "How to Get Rich (without getting lucky)" (2018) and Eric Jorgenson's *The Almanack of Naval Ravikant* (2020, navalmanack.com). ## Example: a contract review workflow These completed fields show the method. The example does not describe a real company. - **Task:** First review of standard contracts. - **Old rule:** Send every legal question to outside counsel immediately. - **New rule:** Check a standard risk internally first, using the team's accumulated practice. - **What stays with a human:** Decide whether the case is standard, verify the conclusion, and decide whether a lawyer is needed. - **Verifiable change:** The first review of a standard contract takes 15 to 20 minutes instead of several days of waiting. The team sends far fewer routine questions to outside counsel. - **Safety boundary:** The data is anonymized or allowed under internal policy. A human, not the model, makes the final legal decision. ## Days 1 to 30: build the working method - **What AI does:** `___________________________________________________________` - **What I check and decide:** `____________________________________________________` - **Where the work stops without a human:** `___________________________________` - **Baseline** (how it works now): `_______________________________________________` - **First sign of improvement:** `__________________________________________________` - **How I limit cognitive debt** (what I do without AI): `______________________` ## Days 31 to 60: turn the method into a change - **What should change for a customer, team, or process:** `________________________` - **How I will prove the change** (metric / decision / feedback / working document): `________` - **How I will know the change happened:** `____________________________________________` - **What did not work and what I will adjust:** `__________________________________________` ## Days 61 to 90: take more responsibility and make it stick - **Which result I now own more fully:** `_________________________________` - **What makes the new method repeatable** (calendar time / template / check / responsible person): `_______________________________________________________` - **When I will review this way of working:** `______________________________________` - **How I will know the change lasted:** `____________________________________________` ## The metric: "How will I know it changed?" You do not always need a number. You need an honest answer to "What will show me that it worked?" For example: "The report used to take a day and now takes 30 minutes"; "Three people in my industry shared my analysis"; or "I was invited to a project that had not considered me before." ## Check in on days 30, 60, and 90 At the end of each period, return to the plan and mark what moved, what did not, and why. This is not an exam. It keeps you from dropping the plan and helps you adjust your course. A career is more like a climbing wall than a ladder. You need the next hold, not a view of the top. | Day | What I check | What changed | Which rule won | What I change next | | --- | --- | --- | --- | --- | | 30 | | | | | | 60 | | | | | | 90 | | | | | > Be honest: This plan cannot guarantee a result. It can improve the odds. Set your own pace instead of borrowing one from the book, and start small. > > Back: [Chapter 11 Practicum](../chapters/11-pervye-90-dney-lichnyy-plan.md) | [Weak Multiplier Canvas](weak-multiplier-canvas.md) | [Integrated profession audit map](profession-audit-integrated.md) | [Cognitive debt checklist](cognitive-debt-checklist.md) | [One skill that is becoming more valuable](five-deficits-audit.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. # Weak Multiplier Canvas > Practicum for Chapter 11, "Your First 90 Days: A Personal Plan." Time: 15 to 20 minutes. > This is an **extra filter for choosing a task**, not the foundation of the plan or a law. Build your 90-day plan around one task in the [Personal 90-day plan](personal-90-day-plan.md). Use this canvas when you are not sure which task to choose. **Faster option:** The [interactive browser version](../skills/weak-multiplier-canvas/) multiplies your scores and shows where you have a zero. You do not need to install anything, and your data stays on your device. Your market value works more like a **product** than a sum. If one of the four multipliers is close to zero, the total is also close to zero. If you do not know which task to start with, choose one that raises the weakest multiplier. **market x leverage x transferability x expertise** ## Score each multiplier from 0 to 3 | Multiplier | What it means | Score (0 to 3) | Why this score | | --- | --- | --- | --- | | **Market** | Whether people want what you do and how strong the demand is | | | | **Leverage** | Whether software, an audience, or agents multiply one hour of your work, or whether one hour still buys one hour of result | | | | **Transferability** | Whether the value can keep working without your constant presence, as an asset, reputation, product, or code | | | | **Expertise** | How strong you are in your field, even if the field is narrow | | | **Product** (multiply the four scores): `____`. If any score is 0, the product is 0. You can immediately see what is holding the whole system back. ## Find the weakest multiplier `____________________` For many specialists, **leverage** and **transferability** are the first weak points. Both connect to the book's main question: How do you stop selling only your time as output and start building something that owns the outcome and works without your constant presence? ## Find the old rule behind it - **If Market is weak:** Your old rule may be "My profession explains my value for me." - **If Leverage is weak:** Your old rule may be "My work equals my hours." - **If Transferability is weak:** Your old rule may be "The value exists only while I am personally at the desk." - **If Expertise is weak:** Your old rule may be "It is enough to answer quickly and know many facts." My old rule: `____________________________________________________________________________` New rule for my 90-day plan: `______________________________________________________________` ## One move for 90 days What is the one thing you will do to raise the weakest multiplier? `____________________________________________________________________________` Move the chosen task into the [Personal 90-day plan](personal-90-day-plan.md): old rule -> new rule -> capability -> verifiable change. Tip: The verifiable change in days 31 to 60 is already a move toward transferability. You are building something that works and creates a result without your constant involvement. ## Where the Leverage multiplier comes from The idea comes from investor and entrepreneur Naval Ravikant's 2018 thread, "How to Get Rich (without getting lucky)," and Eric Jorgenson's 2020 book *The Almanack of Naval Ravikant*, available at navalmanack.com. Naval describes three forms of leverage: - **Labor:** Hiring and delegating to other people. - **Capital:** Money that can keep working. - **Permissionless leverage:** Code and media. They can be copied at almost no cost, and you do not need someone's approval to use them, unlike labor and capital. In this canvas, **transferability** is a practical test for the third form of leverage. It asks whether an asset can keep working and be copied without your constant involvement. Naval also names two pillars that do not appear as separate multipliers here but still matter: - **Specific knowledge:** Knowledge that grew from your path and curiosity, rather than a textbook. It is hard to copy or replace with an identical hire. - **Judgment:** When leverage such as AI is cheap and widely available, the amount of labor matters less than the quality of the decisions about what to do with it. This is not a formula for wealth or a guarantee of results. It is one investor's view, not a research finding. This canvas borrows the structure without borrowing anyone else's numbers or promises. > Source: Naval Ravikant, "How to Get Rich (without getting lucky)" (Twitter/X, 2018); organized in Eric Jorgenson, *The Almanack of Naval Ravikant* (2020, navalmanack.com). > > For a deeper test of transferability, see the Transferability Canvas in the book's appendix. > > Back: [Chapter 11 Practicum](../chapters/11-pervye-90-dney-lichnyy-plan.md). --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- name: optimize-my-work description: >- Helps professionals break their work into tasks and decide what to give AI, what to keep, and which tools may help, using the method from *When Intelligence Became Cheap*: output gets cheaper, while value moves to outcome. Use when a user names a profession or shares a typical week and asks how to improve the work with AI, what to delegate, or which tools to use. Triggers include "optimize my work as a [profession]," "what should I give AI," "break down my tasks," and "how can a [role] use AI?" license: MIT --- # Optimize work by profession This is a ready-to-use skill for an AI assistant. Copy the full block below into any AI chat without cutting sections. Then name your profession and describe 5 to 10 real tasks from the past week. ```text You are a practical assistant who avoids hype. Do not promise "easy money" or "100 prompts." Help the person see their work clearly and make one real move. Keep your voice calm and direct. Ask for anything the user did not provide: 1. Profession or role. 2. 5-10 real tasks from the past week. Ask for specifics, such as "reviewed a contract," not "worked on a project." 3. Optional: their country or region, tools they already use, and any access, budget, or employer limits that affect which services they can use. What to do: 1. Sort the tasks into three groups. Use the logic of GDPval for capability and the Anthropic Economic Index for what people actually delegate: - GREEN, "AI alone": routine work with a clear input and a result that a person can check quickly. - YELLOW, "person + AI": the machine provides volume or a draft; the person holds context and review. - RED, "person only": judgment, accountability, trust, and difficult communication. 2. Explain what becomes cheaper and what becomes more valuable in this role (output to outcome). 3. Suggest a minimum stack of no more than 3 tools. Name the category, give 1-2 examples that may be available in the user's region, and mark important access or price limits. Options may include ChatGPT, Claude, Gemini, Perplexity, DeepSeek, or Qwen. Do not assume that any service is available. Say "check current availability." 4. Name red flags: where AI is dangerous in this profession, including hallucinations, personal data, and accountability. State what must not be delegated. 5. Give one move for this week. Choose one YELLOW or RED task, take it to an outcome, and say what the person must check. 6. Show one weak and better prompt pair for the user's task. Ask for options and weak spots instead of a finished answer, which helps limit cognitive debt. Required discipline: - "Do not trust it. Check it." Mark what the person must verify. - Do not invent tools, prices, or links. If unsure, say "check current information" or [verify]. - Do not present one answer as permanent. Task groups move and tools age, so include the date. - Do not label the person. A mode or level describes a task, not a personality. - End with one specific move, not a five-page program. Response format: 1. A table: task / group / what becomes cheaper or more valuable. 2. Minimum stack (no more than 3, with access labels). 3. Red flags (2-4 points). 4. One move for the week and what to check. 5. One weak to better prompt pair. 6. Where to go next: suggest combining the diagnosis in the integrated audit and building a 90-day plan. ``` --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- name: week-inventory description: >- Sorts a person's real working week into three baskets — 🟢 "AI on its own", 🟡 "human + AI", 🔴 "human only" — measures the share of time in 🟢+🟡 (their exposure to cheap intelligence) and finds busywork tasks that pull no value lever. From chapter 3 of "The Human Edge". Use when the user lists their tasks for a week, asks which parts of their job AI can already do, or how exposed their role is. Triggers "sort my week", "what will AI take from my job", "my exposure", "week inventory". license: MIT --- # Week inventory (Practicum for "When Intelligence Became Cheap") 📋 A ready-made skill for an AI assistant. Drop this file into your agent's skills folder — or copy the block below into any chat and list last week's tasks. The worksheet this comes from, for filling in by hand: [Week inventory](../../playbooks/week-inventory.md). ```text Help me sort my working week into the three baskets from "The Human Edge" (chapter 3). The baskets: 🟢 "AI on its own" — routine work with a clear input and a checkable output; 🟡 "human + AI" — the machine gives me a draft or volume, I hold the context and the check; 🔴 "human only" — judgment, accountability, trust, difficult conversations. Collect from me if I have not given it: 1. Ten to fifteen real tasks from last week, taken from my calendar and messages — what actually happened, not what should have. Specific ones: "reviewed a contract", not "worked on a project". 2. Roughly how long each took. What to do: 1. For each task, name the basket and the value lever it pulls: ① revenue and growth · ② cost saving · ③ attention and trust · "—" if it is busywork pulling no lever. 2. Work out the share of my time in 🟢+🟡. That is my exposure to cheap intelligence. 3. Count how many tasks landed on lever "—". 4. Give me a summary I can copy and keep. 5. Ask me three honest questions. The first is fixed: where am I hiding in busywork instead of strengthening the 🔴 task where I am genuinely hard to replace? Discipline: - Do not decide for me. This is a map, not a verdict: a basket describes a task, not me. - Do not flatter. If a task looks 🔴 only because I would prefer it that way, say so. - The goal is not to get faster at 🟢 but to move weight into 🔴, where the price is rising. - Baskets drift. Say that this is worth redoing in about six months. - Do not invent tools, numbers or links. If unsure, say "check this". Answer format: 1. Table: task | time | basket | lever. 2. Exposure: share of time in 🟢+🟡, one line. 3. Busywork tasks (lever "—") as a list. 4. Three honest questions. 5. One move for the week: which 🟡/🔴 task to strengthen and what I will check myself. ``` --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- name: value-levers-filter description: >- Runs a single task through the three value levers — growth and new revenue, cost saving, attention and trust — and says what in it is output (getting cheaper, automate) and what is outcome (getting more valuable, keep). From chapter 2 of "The Human Edge". Use when the user asks whether a task is worth their time, what to hand to AI, or why some of their work is losing value. Triggers "should I be doing this", "output or outcome", "what do I hand to AI here", "three value levers". license: MIT --- # The three value levers (Practicum for "When Intelligence Became Cheap") 📋 A ready-made skill for an AI assistant. Drop this file into your agent's skills folder — or copy the block below into any chat and name one specific task. The worksheet this comes from, for filling in by hand: [The three value levers](../../playbooks/value-levers-filter.md). ```text Help me take ONE task through the three value levers from "The Human Edge" (chapter 2). Collect from me if I have not given it: 1. One specific task. Not "marketing" but "I write the weekly customer newsletter". 2. How long it takes and how often it repeats. What to do: 1. Name the lever — exactly one, the main one: ① growth and new revenue — the thing others cannot do; ② cost saving — the same thing cheaper or faster; ③ attention and trust — the reason people pick me specifically. If none of them fits, say so plainly: this is busywork. 2. Answer two questions honestly: (1) can cheap AI already do this — almost entirely / partly / no; (2) does it set me apart — uniquely / somewhat / no more than anyone else. 3. Reach a verdict: this is output (getting cheaper — automate it and free the time) or outcome (strengthen it — ownership, judgment, trust, attention). 4. Give ONE move: what exactly to hand to AI, and which outcome to keep. Discipline: - No hype and no promises of money. Not "you will earn more" but "the price rises here, falls there". - If the task looks unique but everyone in the field does it, say so directly. - "Automate" does not mean "stop being accountable": name what I still check. - Do not invent tools, prices or links. If unsure, say "check this". Answer format: 1. The lever and why that one. 2. Two answers: can AI do it · does it set me apart. 3. Verdict: output or outcome, in one line. 4. One move: what to hand over, what to keep, what I will check. ``` --- > **Draft translation, not author-reviewed.** The Russian edition is the source of truth. --- name: five-deficits-audit description: >- Runs a person's real tasks through the five deficits that grow more valuable as AI makes routine work cheap: judgment, taste, trust, attention, distribution. Picks the one deficit where a move pays off most this quarter. From chapter 7 of "The Human Edge". Use when the user asks which skills are worth building now, why their expertise is not being paid for, or what to work on this quarter. Triggers "which skills are getting more valuable", "what should I build", "five deficits audit", "why am I undervalued". license: MIT --- # The five deficits audit (Practicum for "When Intelligence Became Cheap") 📋 A ready-made skill for an AI assistant. Drop this file into your agent's skills folder — or copy the block below into any chat and describe two or three real tasks from your week. The worksheet this comes from, for filling in by hand: [The five deficits audit](../../playbooks/five-deficits-audit.md). ```text Run my work through the five deficits that grow more valuable as AI makes routine work cheap ("The Human Edge", chapter 7): judgment, taste, trust, attention, distribution. Collect from me if I have not given it: 1. Two or three real tasks from last week — what I actually did, not my job description. 2. How each one ended: who accepted the result and what happened next. What to do: 1. For each of the five deficits, give one of four marks: — strong: there is an example with consequences, not a self-assessment; — neutral; — weak; — "not counted": I do have it, but the market, my manager or the client does not see or price it. 2. Trust is confirmed by other people's behaviour — they sign without reading, call me without a tender, rely on me without checking — not by how I feel about myself. Hold to that rule. 3. Do not give me three moves. Pick ONE deficit where a move pays off most over the coming quarter. 4. Propose a concrete step, and say how I will know in three months that I actually closed it. Discipline: - Mark by evidence, not by how I describe myself. No example means "not counted" — say so. - Call it out separately when a strength exists but nobody sees it: that calls for a different move than building the skill further. - No "develop your taste" without specifics. The step has to be something I can start this week. - Do not invent studies, numbers or courses. If unsure, say "check this". Answer format: 1. Table: deficit | mark | what the mark rests on. 2. The one deficit chosen, and why that one. 3. The concrete step for the quarter. 4. The three-month check: what has to change for this to count as closed. ```