+status: built

+an interview prep tool that takes your scattered history — projects, experiences, accomplishments spread across a resume, LinkedIn, notes, and memory — and transforms them into perfectly-timed, well-structured answers for behavioral interviews. the pain point: most people have done real things but struggle to articulate them under pressure in STAR format. they either blank on relevant stories or give disorganized answers. OnCue preprocesses your history so the retrieval work is done in advance.

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+the core mechanic: ingest your resume, notes, and freeform text about your experiences; parse out story units (individual projects, challenges, accomplishments); for each story, generate a structured STAR answer and tag it to the competencies it demonstrates (leadership, problem-solving, teamwork, etc.). during prep, you can browse by competency to see which stories fit which questions, and practice delivering them. the AI layer handles both the structuring (turning raw memories into coherent narratives) and the tagging (mapping stories to interview questions).

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+OnCue is in the built category, which makes it notable — it went from idea to real product. it connects to [[info-exchanger|info exchanger]] which is also about pre-structuring information before a social interaction. [[axon|axon]] is the more ambitious version of the personal context layer that OnCue scratches the surface of. [[referral-hiring|referral-based hiring]] approaches the job search problem from the supply side (how do you get noticed) whereas OnCue works the demand side (how do you perform when you get a shot). [[me-model|me model]] would make OnCue trivially easy to build — if a model was already trained on everything about you, interview prep becomes a query.