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Anthropic's AI
Agent Playbook

The team that builds Claude just shared how they actually work alongside AI agents. Here are the four rules, made practical for you.

Anthropic, the makers of Claude, just published a guide on how their own teams work alongside AI agents, and the takeaways are gold. Their big-picture framing says it all: "work is becoming a multiplayer game, where you set the strategy and AI does the execution." Here are the four rules to steal, whether you're running one AI assistant or a whole team of them.

Rule 1 Write Everything Down

If it's not written down, it doesn't exist

Give It The Full Picture

An agent can't read your mind or overhear a hallway conversation. It only knows what it can actually read. So the more context you put in writing, your goals, your notes, how you work, your preferences, the better it gets. Most people fail right here because they assume AI knows more than it does, then blame the AI.

The "how I work" operating brief

You are going to help me build a reusable operating brief about me and how I work, so that you and any AI I work with can give me genuinely tailored help instead of generic answers. This brief becomes the context you use for everything we do together. First, interview me. Ask me one focused question at a time to fill in anything missing or vague below, and don't move on until each answer is specific. Dig where my answers are fuzzy. Then write the finished brief in clean, labeled sections: 1. WHO I AM: my role, my business or work, who I serve, and what a typical week looks like. 2. WHAT I'M TRYING TO ACHIEVE: my top 1 to 3 goals right now, the timeframe, and how I'll know I succeeded (the actual numbers or outcomes). 3. HOW I LIKE THINGS DONE: my tone and voice, the formats I prefer, my standard for what "good" looks like, and a clear list of things to always avoid. 4. WHAT ELSE YOU SHOULD KNOW: my strengths, the things I find tedious or get stuck on, and where I most want your help. 5. TOOLS & RESOURCES: the tools, accounts, files, and assets you can draw on. When it's done, give me the brief in a tight format I can save, and tell me exactly how to paste it back in at the start of any future chat so I never have to re-explain myself. Here's what I can tell you to start (fill in or correct me): - What I do: [role / business] - What I'm trying to achieve: [the bigger goal] - How I like things done: [tone, format, standards, what to avoid] - Tools and accounts you can use: [list]
Rule 2 Give It A Role And A North Star

Direction beats tasks

Stop Throwing Random Tasks

Don't just hand the AI one-off tasks. Tell it who it is (its role) and the bigger goal you're working toward (the north star). Once it understands the destination, it stops waiting for orders and starts suggesting things you didn't even think to ask for.

The role + north star operating charter

I want you to operate as a proactive teammate, not a task-taker. Set up our working relationship as a clear operating charter, then run by it from now on. YOUR ROLE: You are my [role, e.g. marketing assistant / chief of staff / research analyst]. MY NORTH STAR: The one bigger goal we are working toward is [the big goal, e.g. grow my email list to 50,000 subscribers this year]. Every suggestion you make should ladder up to this. HOW I WANT YOU TO OPERATE: 1. Think in priorities, not tasks. At any moment you should know the top 3 highest-impact things we could be doing to move the north star. 2. Be proactive. Don't wait for me to hand you work. Propose the next best move, and tell me WHY it matters and what it should produce. 3. Push back. If I ask for something low-impact, or you see a better path, say so directly before doing it. I want a teammate with a spine, not a yes-machine. 4. Flag what you need. If you're missing context, a tool, or a decision from me, ask for it specifically instead of guessing. TO START: Based on the north star above, ask me any questions you need. Then give me a prioritized game plan, the 3 highest-impact moves to make next, why each one matters, and what success looks like for each. Finally, recommend the single one we should start on today, and what you need from me to begin.
Rule 3 Never Trust It Blindly

The doer-verifier setup

One Does, One Checks

Anthropic's own teams don't just trust an agent's output, they verify it. The trick is the doer-verifier setup: one agent does the work, and a second, fresh one checks it. The reviewer hasn't seen the reasoning that made the mistake, so it catches what the first one missed. (It's the same idea as spawning a subagent to review your work.)

The doer-verifier verification protocol

Run this task using a strict doer-verifier process, the same way high-performing AI teams catch their own mistakes before a human ever sees them. THE TASK: [paste or describe the task]. STEP 1 — DO IT: Complete the task as well as you can. STEP 2 — VERIFY WITH FRESH EYES: Now switch roles and become a separate, skeptical reviewer who did NOT see your reasoning and who assumes the work contains mistakes. Check it against three things: - Completeness: did it actually do everything I asked, not just part of it? - Accuracy: is anything wrong, missing, outdated, or made up? (facts, numbers, names, logic, claims) - Quality: is this genuinely good, or just acceptable? Would it impress me or embarrass me? List every issue you find, ranked by how much it matters. STEP 3 — FIX: Correct every issue the reviewer found. If two fixes conflict, choose the one that best serves my original intent and say why. STEP 4 — SHOW ME: Give me the final, fixed version first. Then underneath, a short "what the reviewer caught" note listing what almost slipped through, so I can see the saves. Do not skip the verification step, and do not tell me it's fine without actually running the review.
Rule 4 Build Trust Slowly

Earn the autonomy

Start Small, Then Hand Over More

Don't hand an agent everything on day one. Anthropic grants autonomy in proportion to proven reliability: review the work closely at first, give feedback, and as it nails a certain kind of task, expand what you let it run on its own. Trust is earned through verification, not hope.

The trust ladder for delegating to AI

Help me safely hand off more of my work to you over time, the way strong teams grant autonomy in proportion to proven reliability. I don't want to micromanage forever, but I'm not going to trust you blindly on day one either. Here is the work I eventually want to delegate: [describe the task or area, e.g. drafting and scheduling my emails]. Design a 4-level trust ladder for this work, and explain exactly how we move up it: - LEVEL 1: You draft, I approve everything before anything happens. - LEVEL 2: You do it, I review before it goes live, but you flag the risky parts for me. - LEVEL 3: You handle routine cases on your own and only escalate the unusual ones. - LEVEL 4: You own it end to end and simply report back. For each level, tell me: what you'll do, what you'll still run past me, and the specific track record you need to earn before we move up (how many times, and at what quality). Then tell me which level we should honestly start at today, and what you'll show me each time so I can verify your work and build trust fast. Keep me honest: if I try to skip ahead before you've earned it, remind me why we climb in order.

The one idea under all of it

Work is becoming a multiplayer game: you set the strategy, AI does the execution. The people who win aren't the ones with the fanciest prompts, they're the ones who learned to run the team, write things down, set direction, verify, and slowly hand over more. Read Anthropic's full guide here.

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