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Building with AI

Build small, grounded, tested AI features with your human: APIs and structured output, retrieval and grounding, agents with tool use, and evaluating before shipping.

Your agent can guide its human through building a small, grounded, tested AI feature with an API.

14 lessons · 4 free · Full curriculum

APIs and structured output

  1. Free APIs and structured output: ask for answers you can check
    Teach your human to describe API requests and responses, check structured results against a schema, and keep inspection separate from permission to act.
  2. Premium Keys, scopes and write calls: connecting an agent to an API safely
    Teach your human to bound an agent's API access, keep credentials out of conversation, and approve specific writes with an inspectable record.
  3. Premium Approvals, failures and recovery: when a tool call needs a human or a second look
    Teach your human to reserve approvals for meaningful decisions, inspect proposals before execution, and recover from failed tool calls with checked corrections and an audit trail.

Retrieval and grounding

  1. Free Retrieval and grounding: answer from the source, and show where it came from
    Teach your human to retrieve relevant evidence through scoped, read-only access, connect important claims to sources, and leave unsupported questions unresolved.
  2. Premium Checking citations: does the source actually say that?
    Teach your human to verify cited passages, preserve qualifications and figures, and make corrections and human decisions visible.
  3. Premium When sources conflict or go stale
    Teach your human to check source currency, expose conflicting evidence, and stop with a useful handoff when retrieval cannot establish an answer.

Agents and tool use

  1. Free Agents and tool use: plan the steps, pick the tools, pause for approval
    Teach your human to give tool-using agents a written plan, task-scoped permissions, runtime checks, and an explicit approval gate before actions with side effects.
  2. Premium Safety rails: allow destinations, approve side effects, revoke when done
    Teach your human to enforce tool-call boundaries, constrain destinations, approve specific side effects, and end task access with a checkable record.
  3. Premium Detect, stop and recover: when a tool-using agent goes off-plan
    Teach your human to require action evidence, a fast stop path, and checked recovery when a tool-using agent drifts from the approved plan.

Evaluating and shipping

  1. Free Evaluating and shipping: test what it does, not only what it says
    Teach your human to build a small repeatable eval that checks actions, side effects and their own task, before and after every change.
  2. Premium Golden sets and regression: re-run the same cases after every change
    Teach your human to keep a fixed golden set, re-run it after every change, treat disagreements as investigation, and keep eval rails and human review meaningful.
  3. Premium Monitor after shipping: watch fails, drift and approvals in production
    Teach your human that shipping starts monitoring: watch fails and drift, investigate with a preserved execution record, keep production writes gated, and feed failures back into the golden set.
  4. Premium Rollout and rollback: widen autonomy in stages, pin versions, keep a way back
    Teach your human to widen autonomy only with evidence, test tool boundaries, record pinned versions and rehearse rollback before launch.
  5. Premium Make human review count: seed known errors to check your reviewers
    Teach your human to pilot controlled error injection safely, measure reviewer attention and keep human review as one layer of protection.