Test the answer before it reaches the customer.
Use the answer playground, citations, source coverage, refusals, test cases, evaluation runs, correction tickets, and knowledge gaps to improve answer behavior with evidence.
Test the answer before it reaches the customer.
Run real questions through your policies, require citations, catch unsupported claims, and turn every failure into a test case or knowledge gap — before launch, not after.
- Answer playground
- Citation requirements
- Test cases and regressions
- Knowledge gap tracking
Ship answers with evidence, not hope.
What answers covers in Wiki.
Answer playground
Ask real questions against current policies and sources.
Citations
Require source-backed responses where your team needs proof.
Source coverage
See whether approved sources actually support the answer.
Refusal and escalation
Define when AI should stay quiet or route to a human.
Test cases
Save important questions and expected behavior.
Evaluation runs
Run saved answer tests and review the results.
Answer tests
Compare playground runs against the cases you saved. Automatic regression detection is planned.
Corrections
Open tickets when an answer is wrong. Corrections do not publish an emergency knowledge change.
Knowledge gaps
Track unanswered questions that need new or better sources.
Explore the rest of the product.
Knowledge
Turn scattered information into managed AI knowledge.
Verification
Unverified knowledge never reaches your AI.
Permissions
Your AI gets access. Not a master key.
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Your AI is already talking.
Make sure it knows what it is talking about.