A field guide to working with agents.
Pick the right tool. Give it a clear job. Know when the work is done.
Ten illustrated guides for the wonderfully practical business of getting useful work out of AI. Read a little. Try something. Take it into your next task.
Every chapter includes a worked example, an interactive exercise, and a checklist. Start at the beginning or jump to the problem in front of you.
Find your next chapter
Begin anywhere. Make it your own.10 guides found
Choose your first AI agent
Start with a job you can judge. Find the right kind of agent, run a small trial, and choose with evidence you can actually use.
Write a brief an agent can finish
Give an agent a destination, useful context, and a visible finish line. Build a brief that survives the first unexpected detail.
Give an agent the right permissions
Translate a task into specific access. Let useful work proceed while keeping consequential actions visible and reviewable.
Ship a small change with a coding agent
Take one real issue from reproduction to a reviewed change. Preserve the project, test the behavior, and distinguish a passing build from a shipped result.
Research with an agent and keep the receipts
Turn a broad question into a source-backed decision. Trace claims, resolve disagreements, and make uncertainty useful.
Put a browser agent to work, one checkpoint at a time
Turn a fragile sequence of clicks into a task you can supervise, recover, and verify. Start with a comparison job, then learn where to place checkpoints before actions change the outside world.
Connect the right tools without creating a mystery machine
Give an agent a small, inspectable path from source to result. Understand what a connection exposes, test each handoff, and make failures recoverable before you depend on the full workflow.
Give your agent a useful memory, not a junk drawer
Keep the context that improves the next task. Separate durable preferences from current state, save decisions with evidence, and make old notes easy to correct or retire.
Find out whether an agent actually helps
Build a small, honest evaluation from your own work. Score observable outcomes, include your review time, and diagnose failures before changing the prompt or buying a different tool.
Turn one good result into a workflow you can trust
Capture the parts that worked, define the handoffs, and test recovery before adding a schedule. Build a small operating system for one recurring job, with an owner and a clear finish.