docs: bootstrap tutor planning

openspec/changes/bootstrap-job-tutor-platform/proposal.md

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+# Bootstrap Job Tutor Platform
+
+## Summary
+
+Create the first product baseline for a web-based AI tutor aimed at software job
+seekers. The platform uses workflow-driven technical interview practice,
+structured learner memory, and source-backed ontology building from uploaded
+learning materials.
+
+## Why
+
+Software job seekers need adaptive practice and evidence-backed feedback more
+than another generic interview-question list. A narrow first audience lets the
+platform prove diagnosis, tutoring, memory extraction, and review planning
+before expanding to broader student use cases.
+
+## Motivation
+
+The first product target should be narrow enough to build and evaluate:
+developers preparing for technical interviews. This target naturally exercises
+adaptive questioning, answer grading, misconception tracking, review planning,
+and material-to-curriculum transformation. The same foundation can later expand
+to general students.
+
+## Scope
+
+- Define the job-seeker-first product direction.
+- Define learner memory requirements.
+- Define ontology ingestion and gap-detection requirements.
+- Define workflow boundaries for `agent-farm-go` and `third-one`.
+- Define generated visual teaching asset requirements.
+
+## Non-Goals
+
+- Implement the full web service in this change.
+- Replace a school LMS.
+- Build a marketplace or certification product.
+- Treat generated ontology content as canonical without review.
+
+## Impact
+
+This establishes the planning baseline for future implementation. Future code
+changes should trace back to these specs and keep OpenSpec updated as the
+product shape evolves.