World
Nine inputs, one rehearsal world.
AI release rehearsal
Rehearse AI changes before release.
Run production-like worlds around recommender, search, and agent changes. Catch behavior regressions before users do, return evidence, and decide what ships.
worldConditions
evidenceTrace packet
decisionShip / review / block
observingrankretrieveact
Memory saved
Built for teams shipping AI systems that impact real users.
Observe
Rank, retrieve, act — traced live.
Evidence
Artifacts, diffs, verifier proof.
Decide
Ship, review, or block — bounded.
Memory
Every lesson becomes coverage.
02 / World Inputs
Model the world your release will face.
Bring cohorts, source state, policies, tools, and events into one rehearsal world before the change touches users.
See world inputs in actionWorld intake
- 01PopulationWho actually shows up
- 02CohortSlices that break differently
- 03Profile stateHistory, prefs, live signals
- 04Source stateIndex freshness and gaps
- 05Candidate poolWhat's eligible to surface
- 06Tool boundaryConnectors and rate limits
- 07PolicyGuardrails and eligibility
- 08Resource twinLoad, latency, contention
- 09Release versionModel, prompts, config
Rehearsal engine
03 / Observe Behavior
Watch behaviorchange in therehearsal.
Final answers are not enough. Determina records rank movement, retrieval paths, and tool effects while the release runs.
Behavior observed
Live traces from rank,
retrieve, and act runs.
Rehearsal engine
- Rank behaviorRanking shifts and candidate movement over time.
- Retrieve behaviorSource paths, citations, and context coverage.
- Act behaviorTool calls, resources used, and side effects.
Evidence attaches
Multi-layer instrumentation
Deterministic replay
Evidence you can trust
Better evidence. Better decisions.
Product routes
Choose the system behavior to inspect.
Each product route opens the evidence pattern for recommender, search, or agent releases.
01Recommendersrank behaviorDid the release change what a cohort sees?Finding regulated candidate moved #7 to #1cohort lens + rank curve + policy verifierView product02Searchretrieve behaviorDid retrieval cite the current source?Finding answer cited an archived policysource diff + citation path + support verifierView product03Agentsact behaviorDid an agent attempt a risky side effect?Finding refund call contained before mutationtool trace + resource diff + unchanged proofView product
04 / Evidence Assembly
Return proof your team can inspect.
Every finding links to artifacts: traces, lenses, diffs, verifier results, and the memory needed to rerun the case.
05 / Decide & Remember
Decide what ships, and remember why.
Ship, review, or block with bounded evidence. The decision stays human-owned, and the lesson becomes reusable coverage.
pilot intake
Bring one AI release that needs proof.
This is the pilot intake checklist: send one system, one planned change, and one rollout concern. Determina returns the rehearsal world, evidence packet, and decision trail.
checklistWhat to send
- System
- Recommender, search/RAG, or agent workflow.
- Change
- Model, policy, source, or tool update.
- Concern
- The behavior your team wants checked before rollout.
- Return
- An evidence packet your team can inspect and reuse.
- 01 SendShare the system, planned change, and behavior concern.
- 02 RehearseDetermina runs the change in a production-like world.
- 03 DecideYou get traces, diffs, and a reviewable release packet.