The AI Agent Work Journal: Traceability from Result to Source Data
What the journal records
- Inputs and their sources: what materials arrived at the stage.
- Stages and states: what is complete, what has paused, and what awaits human review.
- Basis for conclusions: every key conclusion references an observation, a source, or an explicitly stated assumption.
- Low-confidence transcription fragments are marked for human verification.
Traceability in the products
- Local meeting scribe: an event journal — what data came in, what stages were completed, on which content each document was formed; the reports are cross-checked against the original recording.
- Business Requirements Analyst: an audit ledger with full replay of changes — every requirement is tied to a fragment of the source.
- CustDev agent: an opportunity map with links to the primary fragments of the interviews.
- Super Oracle: assumptions and risks are named separately from the solution directions.
Why the business needs it
The journal turns the result from a system-generated opinion into material with an evidence base: checking a conclusion takes minutes, responsibility for the decision is clear, a new employee sees how the artifact was obtained, and an audit gets a reproducible history of the launch.
The Journal and Expert Verification
The journal shows the path of the result but does not make it true: critical conclusions are confirmed by a human with the relevant expertise. That is why in the agent passport the journal and verification go together.
Adapted from the article: agentseffect.com.