In short
An AI audit trail records each directive, every action taken, its cost and its result, in a log the AI cannot edit. It lets you see what happened, recover from failures and decide what to automate next.
What to record
- The directive given.
- Each action, in order.
- Cost and approval for each action.
- Outcome and any error.
Who can write it
If the AI can edit its own log, the log proves nothing. Records should be written by the system, not the model.
How it helps
- Trust: see exactly what was done.
- Recovery: resume a failed run where it stopped.
- Improvement: spot actions that are always approved.
In Maqron
Every directive becomes an operating run with its actions and costs recorded by database functions; the AI cannot change past entries.