CCAR Story Extractor
Pulls interview-ready stories from a CV using CCAR (Context, Challenge, Action, Result) — chosen over STAR as a friendlier structure for neurodivergent storytelling.
Four stages, one pipeline: an idea earns its way to alpha, an alpha earns its way to beta, a beta earns its way into production. Nothing skips a stage, and nothing here is dressed up to look further along than it is.
The running list of what could come next — for LyttonOS AI and the wider practice. Nothing here is committed, and the order isn't fixed yet. Got one of your own, or a vote for one of these? Tell us on the Contact page.
Pulls interview-ready stories from a CV using CCAR (Context, Challenge, Action, Result) — chosen over STAR as a friendlier structure for neurodivergent storytelling.
Collects every quantified claim in a CV onto one clean page for interview prep.
Turns each unevidenced gap LyttonOS AI finds into a realistic plan for closing it.
Same guardrails as the CV targeter — never invents a fact — shaped as a cover letter instead.
Screens a job description alone for scope creep and ways-of-working risk, before you apply.
A local-only log of past runs, so nothing has to be re-pasted to compare applications.
Proper CV formatting on export — not just a print of the on-screen preview.
Run several applications at once, instead of one CV and one job description at a time.
A no-backend way to register interest in a tool before it's built.
A visible, dated log of what's shipped and changed in the alpha.
Let visitors vote on which of these matters most to build next.
Kate's own ordering view, informed by votes — not a public drag-and-drop. One list can't hold everyone's disagreement at once.
Working software, real testers, known rough edges — tracked in the open rather than smoothed over.
The CV targeter itself — paste a CV and a job description, get a targeted CV back. Runs entirely in your browser.
Try itWhat it is, why the call runs in your browser rather than on a server, and what every output means.
Read itKnown limitations, troubleshooting, and a direct way to report a problem or an idea.
Give feedbackNothing's graduated to beta yet. An alpha moves here once real testers have used it and the rough edges are known, not just guessed at.
Nothing's in production yet — that's the point of the pipeline: nothing skips a stage.