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