Timeline
- (Context) Needed real beginner-path evidence before final polish calls on core modules
- (Action) Replayed Module 02/03/04 workflows and captured outputs under module temp-run folders
- (Action) Refreshed test inputs including module fixtures and learner prompts
- (Action) Archived generated scripts (
clean_context.py,clean_data.py,notes_assistant.py) for replay/debug - (Observation) Preserving temp runs made it easier to separate prompt defects from environment drift
- (Open Thread) Promote highest-signal temp artifacts into stable regression fixtures
Context
- Focus was simulation fidelity: run the exact beginner path and keep traces
- Temporary-run capture was preferred over in-place polish to preserve clean working modules
Actions
- Captured Module 02 temp-run artifacts in the output folder.
- Captured Module 03 temp-run artifacts in the output folder.
- Captured Module 04 temp-run artifacts in the output folder.
- Refreshed Module 03 input fixtures in the test folder.
- Refreshed Module 04 input fixtures in the test folder.
Observations
- Archiving generated learner outputs gave a clearer signal on where instructions were ambiguous
- Module 04 remains the first hard dependency jump compared with earlier modules
Open Threads
- Define a retention policy for
_temp_removedso useful traces are kept without unbounded growth - Fold recurring failure signatures into module iteration guides
Boundary Reminder: Seeds. No maintenance. No roadmap.