USE THE FRAMEWORK
Understand the model. Preserve the design state. Build continuity into the work.
Framework Brief
A deeper explanation of Expand → Preserve → Evolve, design memory, Prompt 37, and the human responsibility for maintaining continuity as AI accelerates iteration. The brief itself explicitly positions the other resources as practical extensions of this conceptual foundation.
Design Memory / Continuity Checklist
A practical way to ask what should survive the next iteration: intent, rationale, constraints, canonical state, unresolved questions, consequences, and next steps.
Checkpoint / Restart Workflow
A repeatable process for stopping deliberately, validating the current design state, saving it somewhere durable, and restarting later without reconstructing the project from conversational fragments.
STEAL THE PROMPTS
Steal the prompt. Keep the judgment.
Prompt patterns for expanding possibilities, challenging assumptions, preserving design state, tracing consequences, propagating decisions, inspecting revised work, and restarting from a validated checkpoint.
The resource itself is very clear that these are scaffolds, not recipes: users are supposed to shorten them, rewrite them, combine them, and interrupt the AI when necessary.
SEE THE EVIDENCE
REIMAGINE
When restructuring reveals the real design problem.
AI accelerated restructuring. Human judgment recognized that the course problem was architectural rather than editorial, leading to the Learning Labs structure.
TRACE
When alignment needs more than a checkmark.
AI expanded audit coverage. Human judgment determined whether the relationships actually represented meaningful learning.
INSPECT
When finding a problem is not the same as validating the experience.
AI accelerated QA and correction. Human judgment validated whether the actual learner-facing experience was ready.