{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "madslorentzen-ai-job-search--prep-for-a-scheduled-interview",
 "repo": "MadsLorentzen/ai-job-search",
 "repo_url": "https://github.com/MadsLorentzen/ai-job-search",
 "repo_slug": "madslorentzen-ai-job-search",
 "title": "Prepare a stage-specific interview pack",
 "page_title": "How to prepare a stage-specific interview pack with AI Job Search",
 "summary": "Build a prep pack and mock interview for a scheduled interview on a tracked application.",
 "who": "A candidate with an interview booked for a tracked application who needs to prepare quickly and accurately.",
 "problem": "Interview prep is slow when the posting, the submitted CV and the company research are spread across different places.",
 "outcome": "A stage-specific prep pack with likely questions mapped to your STAR examples, verified company research and an offered mock interview.",
 "steps": [
  "`gh repo fork MadsLorentzen/ai-job-search --clone`",
  "`python3 tools/install_portal_clis.py`",
  "Run `claude` inside the repo and make sure the application is tracked from an earlier `/apply`.",
  "Run `/interview` and name the tracked application when asked.",
  "Work through the question map, then accept the offered mock interview and check that the bridge answers stay honest about gaps."
 ],
 "agent_prompt": "In the ai-job-search repo, run /interview for the tracked application <application name>. Expect a prep pack built from the archived posting, CV and cover letter, with likely questions mapped to STAR examples. Verify that no experience appears in an answer that is not in your archived documents.",
 "agents": [
  "claude-code"
 ],
 "difficulty": "Intermediate",
 "time": "1 hour",
 "basis": "readme",
 "caveat": "Interview prep depends on the application being tracked first, so run /apply or record it with /outcome before using /interview.",
 "category": "Work and operations",
 "tags": [
  "Work and operations"
 ],
 "lang": "python",
 "requirements": [
  "Claude Code (Pro, Max, Team subscription or Anthropic API credits)",
  "Python 3.10+",
  "Bun",
  "A LaTeX distribution with lualatex and xelatex",
  "git and the gh CLI to fork the repo",
  "Your CV, past applications and other career documents to load into /setup"
 ],
 "risk": "sensitive",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.8,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/madslorentzen-ai-job-search/prep-for-a-scheduled-interview/",
 "md": "https://dedupedai.com/use-cases/madslorentzen-ai-job-search/prep-for-a-scheduled-interview/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/madslorentzen-ai-job-search--prep-for-a-scheduled-interview.json",
 "api_version": "v1"
}