Path 08 / Trust
AI sounds certain. I need to know when it's wrong.
Put a source, check, and human decision around one AI job.
Do these in order
Small moves. One working result.
Each lesson completes one decision or artifact. Counts and timings are PickBits starter defaults; the finish line is the work, not the clock.
Atomic lesson 01 10 min working session
Name what happens if AI is wrong
The cost of an error determines how much review the work needs.
- Done when
- The job is marked low, medium, or high risk with one plain-language reason.
- You leave with
- Risk boundary
Atomic lesson 02 10 min working session
Name the source AI must use
A specific source is easier to verify than a confident answer from memory.
- Done when
- The job points to one current source of truth and rejects unsupported claims.
- You leave with
- Source rule
Atomic lesson 03 12 min working session
Write a five-point acceptance check
Observable checks turn 'looks right' into a repeatable decision.
- Done when
- A second person can use the checklist and reach the same pass or fail result.
- You leave with
- Acceptance checklist
Atomic lesson 04 10 min working session
Route uncertainty to a human
The safest automation knows when to stop and ask instead of inventing certainty.
- Done when
- Low-confidence, missing-source, and high-risk cases have a named human next step.
- You leave with
- Escalation rule
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