Build together
A useful next step for every role
A dependable agent takes more than implementation. Use these guides to make product decisions, design conversations, evaluate outcomes, and prepare a release your team can operate.
Build an evaluation set that exposes failures
Build an agent evaluation set with explicit task slices, traceable data, factual assertions, and failure cases that a headline success rate would hide.
Read the guide →Choose an agent workflow worth building
Decide which workflow deserves an AI agent using a worked scope brief, a measurable outcome, and a boundary your product and engineering team can test.
Read the guide →Design a handoff a customer can trust
Design and test an agent-to-human handoff with explicit consent, a useful context packet, and recovery paths when the receiving team is unavailable.
Read the guide →Build your first Rasa agent
Run a small Rasa agent locally, inspect the tool behind its answers, and make your first change with one complete downloadable starter.
Read the guide →Make an agent release decision with evidence
Turn agent evaluation results into a release decision with an explicit denominator, a worked decision record, and owners for rollout and unresolved risks.
Read the guide →Review what an agent is allowed to do
Review an agent’s permissions with a worked action register, evidence from the tool boundary, and named owners for authorization, handoff, and unresolved risk.
Read the guide →Roll out an agent with a working stop button
Plan an agent rollout with dependency checks, outcome signals, a verified fallback, and a rollback drill that proves who can stop an unsafe release.
Read the guide →Ready to implement? Follow the Rasa tutorials for working examples and code.