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Decision workspace Evidence → reasoning → review

Does this decision still hold?

See what changed, follow the supporting records, and preserve the reason for your next decision.

How this workspace works
1. Preserve a starting decision. Assign a fictional reviewer and create the synthetic baseline.
2. Capture changed evidence. Requests, declared grants and deployment context remain separate.
3. Review explicitly. Inspect the records, then record a human outcome with a rationale.
New rehearsal +Clarified review →

One source is stored once. Each decision keeps its own rule, review and outcome. Earlier workspaces retain their original formats.

01 / Establish a shared baseline

Start with a decision you can trace.

Create three explicitly simulated starting decisions: a request boundary, a declared-grant boundary, and a production hold pending context. The synthetic baseline requests read, separately declares read granted, and leaves deployment Unknown. Nothing is saved until you submit.

This code does not authenticate a person or prove participation. All three reviews are assigned to this code for the rehearsal.
Import history Inspect, then restore

Choose a Decision Continuity JSON export, maximum 1 MiB. Nothing is uploaded. Inspection writes nothing; confirmation restores only a missing record and opens its original workspace. Different existing history cannot be overwritten.

Synthetic technical demonstration. No practitioner validation, live source monitoring, runtime assurance, authentication, cloud sharing or AI decisions.