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I Turned My Resume Into an AI You Can Interrogate

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A developer built an AI-powered interactive resume called Signal Sifter that lets recruiters interrogate a career story via chat, while also serving as a hidden interview practice coach. The key architectural decisions: no RAG or vector DB (the full resume JSON fits in the LLM context window), mandatory source citations on every answer using a closed key list to prevent hallucination, and five literature-based self-assessments (Belbin, Thomas-Kilmann, SDT, TIPI, Goleman) instead of generic soft-skill claims. The stack runs at $0/month using GitHub Pages, a Cloudflare Worker, and Groq's free tier. A hidden `?practice=1` mode flips the AI into a behavioral interviewer that stress-tests resume claims against the self-assessments and coaches STAR-method answers. The project is open source and forkable.

    #career#devtools#llm#cloudflare#prompt-engineering
Jul 23•10m read time•From levelup.gitconnected.com
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No RAG, no vector DB, $0/month — and every answer cites its sourcesWhat I builtDecision 1 — you don’t need RAG for a resumeDecision 2 — make the model cite itselfDecision 3 — real assessments, honestly labeledGet Oğuz Kaan Mavice’s stories in your inboxThe hidden door: `?practice=1`The $0 stackLimitations & what I’d changeFork itGitHub - EnigmaDevelop/resume-signal-sifter: Interactive chat-style resume with an AI grounded in…
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