The Agentic Crew: Crew Member's Guide cover

Crew Member's Guide

Not a programmer?
This is for you.

Understanding and working with AI agents — no code required

Designers, product managers, writers, analysts — everyone on the team is affected by the shift to agentic engineering. This guide explains what agents actually are, how your team is using them, and how to direct them yourself to get real work done.

Nocoding needed
2languages
Freeforever

Everyone on the crew

Your engineering team is moving to agentic workflows. You don't need to understand the code — but you do need to understand what's changing, what you can ask for, and how to work effectively in a team that uses AI agents.

This guide covers the same ground as the engineering book, translated for people who think in terms of outcomes, not implementations. You'll learn to direct agents yourself for your own work — writing, research, data analysis, documentation — without writing a single line of code.

What agents actually are

A clear mental model for what AI agents can and can't do — without the jargon.

Directing agents yourself

How to use Claude Code or Gemini CLI to get your own work done — no programming required.

Working with engineering teams

What the engineers on your team are doing, and how to collaborate effectively.

When to push back

What agents get wrong, what to watch for, and how to keep humans in the loop.

19 chapters

01
Welcome to the Crew What it means to work alongside AI agents — for people who don't write code.
02
The Ground Is Shifting Why agentic tools are changing every role on the team, not just engineering.
03
What's Under the Hood A plain-English explanation of how large language models and agents actually work.
04
What Is an Agent, Really? The difference between a chatbot and an agent — and why it matters.
05
How to Give Good Instructions Prompting as a skill: how to get consistent, useful results from an AI agent.
06
What the Agent Can See Context windows, files, tools — understanding what your agent knows and doesn't.
07
The Trust Gradient How much autonomy to give an agent, and how to calibrate it for your team.
08
Extending the Crew's Reach Connecting agents to databases, calendars, and other tools beyond the codebase.
09
The Padlock Security, privacy, and what you should never hand to an AI agent.
10
Reading the Output Like a Pro How to review agent work, spot mistakes, and know when to push back.
11
Building Something Real A step-by-step walkthrough of a non-engineer directing an agent to build a thing.
12a
Building Something Else A second build exercise — different domain, same approach.
12b
When Things Go Wrong How to diagnose agent failures and get back on track without calling a developer.
13
When to Do It Yourself The cases where an agent adds overhead rather than value.
14
Being the Human in the Loop Your most important role: reviewing, approving, and catching what the agent misses.
15
Talking to Your Tech Team How to collaborate with engineers who are using agents — shared language and expectations.
16
Keeping Your Finger on the Pulse How to stay current as the tools change without following every release.
17
Final Words What agentic work means for careers, creativity, and the way teams get things done.
18
Getting Started The practical first steps for a non-coder who wants to start working with AI agents today.

Interactive presentations

Short narrated slideshows that cover the core ideas — no reading required.

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Same ideas as the engineering book, translated for non-programmers.

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Crew Member's Guide — Audiobook

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