The first phase of AI adoption is private.
You use it to move faster. You get better drafts. You ship more. It feels like a quiet advantage.
Then the work hits the team boundary.
Now the questions change:
- Can someone review this confidently?
- Can we reproduce the reasoning later?
- Do we know what was verified vs generated?
- Are we about to normalize “looks right” as a standard?
This is the moment where “my prompts” stops mattering.
What matters is shared practice.
You don’t need a process overhaul. You need a few lightweight norms:
- Disclosure: “AI drafted; I verified and adjusted.”
- Risk tiers: stricter checks for higher blast radius.
- Reviewability: diffs over dumps, criteria over vibes.
- Artifacts: spec-lite for decisions, not paragraphs of explanation.
AI can be a personal accelerator.
But teams run on trust.
And trust runs on things other humans can inspect.