Turn a failed prototype into the next lesson
https://patrickz.ai/learn/learn-from-a-failed-prototype/

OUTCOME
Write a failure review that produces one smaller, testable next attempt.

YOU NEED
A failed or disappointing output and the prompt or specification that produced it.

1. Name the intended result
Write what you expected to happen and the evidence that it did not. Keep observation separate from your explanation of the cause.

2. Classify the gap
Ask whether the problem lies in the brief, input, tool capability, implementation or evaluation. More than one cause may be possible; list uncertainty.

3. Learn one missing fundamental
Pick the smallest concept that could explain the failure: contrast, state, coordinates, data types or source quality. Ask for a tiny exercise focused on it.

4. Repeat a smaller test
Change one thing and rerun. Keep the failed version and the result. Decide what evidence would justify moving back to the larger project.

PROMPT
Help me review this failed attempt without generic encouragement. Intended result: [goal]. Observed result: [evidence]. Original instructions: [prompt]. Separate facts from hypotheses, identify one missing fundamental, and propose a small next experiment with a pass/fail check.

EXAMPLE / EXPERIMENT
A game with inconsistent movement may need a delta-time lesson before new artwork. A weak poster may need a hierarchy exercise before another image model.

CHECK YOUR RESULT
[ ] The review describes an observable gap.
[ ] The next test changes one thing.
[ ] You can explain what you learned even if the new attempt fails.

IF IT FAILS
If the review becomes a long roadmap, reduce it to one uncertainty. Keep the practice project low stakes so experimentation stays reversible.

MY RESULT / NEXT CHANGE