Your study
Pick up the thread.
Continue the most useful work, then keep the next few steps in view.
Continue
Orient to the calculation-path coach
Define the active Standard Trainer direction, its learner outcome, and the authority boundary between deterministic tools and AI assistance.
Next
Keep the thread moving
- 01Frame the learner failure with evidenceTranslate calculation-process observations into a testable problem statement and interview plan.105 min · not started
- 02Model solution graphs and student stepsRepresent the canonical Kp calculation path, structured student work, example tracing, and model tracing as separate inspectable objects.120 min · not started
- 03Freeze authority, policy, and provenanceBind a curated problem, solution graph, marking policy, and review state before making correctness or ECF claims.100 min · not started
Review
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Useful residue
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Progress and repository requirements
Progress by track
Agent Engineering0/2
AI Product Management0/2
Calculation Trainer0/4
Product Delivery and Evals0/2
Interview Preparation0/1
Required outputs
Accepted scope and product-boundary decisiondocs/decisions/ADR-001-calculation-coach-pivot.mdBounded learner interview guidedocs/product/USER_STORY_INTERVIEW.mdTyped separation of problems, graphs, attempts, checks, and tracesdocs/architecture/DATA_MODEL.mdCanonical calculation content contractdocs/content/CALCULATION_DOMAIN_SCHEMA.mdFrozen problem, solution graph, and policy fixturedocs/content/calculation_problems_seed.json