Agent Field Guides
Agent Field Guides

Interactive guides for product managers

Understand AI agents well enough to make good product calls

Seven modules, written for PMs rather than engineers. Start with how agents work and the tools at a glance, go deeper on each tool, learn what to measure in production, then how to launch. Modules 1 to 5 and 7 follow the same example: a research assistant that takes a question, searches the web, reads the results and writes a short report. Module 6 takes those ideas into a regulated setting, a wealth assistant for investors. Every module has a hands-on demo you can click through, and quizzes to check yourself.

1

How AI agents work

What an agent is, and how it gets from idea to launch.

planactobserverepeat
  • Agent vs chatbot vs workflow, and the spectrum in between
  • The five parts, choosing a model, tool failures and MCP
  • Evals that account for randomness, and how agents fail
  • Guardrails, human approval, cost, monitoring and staged rollout
about 30 minstep-by-step agent demo5 quizzesspec templatecheat sheet
2

LangChain, LangGraph & Langfuse

The three tools at a glance: what each one does and how they fit together.

buildorchestrateobserve
  • What each tool is, in plain language and a kitchen analogy
  • Why real agents need a graph, not a straight line
  • Reading a trace to debug cost, speed and wrong answers
  • A decision guide, the alternatives and what each really costs
about 25 minclickable graph + trace demo3 quizzesdecision guide with alternatives

Builds on module 1. If agents are new to you, start there.

Deep dives

One module per tool

Each one goes further than module 2, with its own hands-on demo. They're best read after module 2.

3

LangChain in depth

build

Models, prompts, tools and MCP, retrieval, chains, memory and agents: the building blocks, and where they feel heavy.

about 30 minchain workbench + retrieval tuner3 quizzes
4

LangGraph in depth

orchestrate

State, branches, retries, checkpoints, human approval, time travel and testing: agents that pause, crash and recover.

about 30 mincrash, resume and fork demo3 quizzes
5

Langfuse in depth

observe

Traces, cost and latency, prompt versions and evals: how to find out why an agent went wrong.

about 30 mindebug-a-complaint demo3 quizzes

Module 6 · Running it in production

Metrics for a compliant wealth AI bot

What to measure when an AI assistant talks to investors: 7 categories split into P0 launch blockers, P1 core health and P2 optimisation. Includes a spot-the-breach demo, how to prove a zero, wiring it up in Langfuse, an incident runbook and a P0 launch checklist.

complianceaccuracygovernance
about 35 minspot-the-breach demo3 quizzes

Module 7 · Launch

Shipping an agent: rollout, experience and economics

The product work around launch: staged rollout with a kill switch, designing an experience people trust, all-in unit economics and pricing, build or buy, and the research assistant's first six weeks.

rolloutexperienceeconomics
about 25 minstaged-rollout simulator3 quizzes

Just want to try things?

Demo lab: all three tool demos in one place

Switch between the LangChain, LangGraph and Langfuse demos without the lessons around them. Each one links back to its full module.

LangChainLangGraphLangfuse

Reference

Glossary and further reading

Every term from the seven modules in one searchable list, with links back to where it's explained, plus official sources to go deeper.

How to use these guides

Tap underlined terms

The first time a technical word appears, it has a dotted underline. Tap it for a one-sentence definition.

Break the demos

Each demo has failure modes you can trigger. Seeing how an agent goes wrong teaches more than watching it succeed.

Keep the cheat sheets

Each module ends with a one-page summary and the questions to ask your engineering team. Module 1 also has a one-page agent spec template to download.