01 · Problem
Define performance before deliverables.
The system separates the requested asset from the observable behavior or result that needs to change.
Learning Rewired Lab™ Decision Standard™
AI should not merely produce an answer. For consequential learning and performance decisions, the system should expose what it knows, what it assumes, how confident it is, what could change the recommendation, and what evidence will prove the decision after launch.
The standard
01 · Problem
The system separates the requested asset from the observable behavior or result that needs to change.
02 · Evidence
Evidence is recorded separately from assumptions, opinions, preferences, and source material.
03 · Alternatives
Challenge Mode tests whether process, environment, tools, incentives, reinforcement, access, or practice explain the gap better than training.
04 · Confidence
A recommendation carries a confidence signal and names the missing information that could change it.
05 · Trace
Decision Trace records the movement from request to diagnosis to intervention to evidence instead of retaining only the final output.
06 · Handoff
The authoring brief carries the performance problem, constraints, evidence, success measure, and design requirements into whatever tool builds the response.
07 · Proof
Workplace behavior and business evidence reconnect to the original decision so the recommendation can be validated, revised, or rejected.
Why it matters
When software can generate a course in minutes, production speed stops being the primary differentiator. The advantage shifts to people and systems that can identify the right problem, resist bad requests, choose the right intervention, explain the reasoning, and prove what changed.