De-risking AI projects: don't lose the history

Originally published by the Pragor team. Read the original post on Pragor.

The scariest thing about AI work isn't a wrong answer - it's a plausible one you can't trace. When something goes wrong weeks later, can you see who did what, when, and why? If not, you can't fix it, and you can't trust it.

Make the history durable

• Attributable audit - every message, task, approval and operation logged to an actor.
• Evidence-backed tasks - 'ready' requires proof, not a claim.
• Memory that survives - briefs and board state outlive context compaction and session ends.

Gate what you can't undo

Irreversible actions should never run unattended. A human approval step turns 'the agent did something surprising' into 'we decided to do this, on purpose'.

Do those two things - durable history and human gates - and AI stops being a liability you hope works, and becomes work you can stand behind.

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