Step 1Live
Analyze fit
0-100 score with strong / reach / weak tier and JD line citations.
Paste a job description and your resume. Get a fit score, evidence-backed skill gaps, rewritten bullets, and a tailored cover letter, in one guided workflow.
Phase B · API
Calls runAgentTool with zero-token ping.
Full workflow is live
Fit analysis, bullet rewrites, and streamed cover letters, all grounded in your resume and job description. Profile Optimization remains available unchanged.
Paste plain text from your resume, experience bullets and skills matter most.
0/8000
Paste the full posting, requirements and responsibilities help surface cited gaps.
0/6000
Step 1Live
0-100 score with strong / reach / weak tier and JD line citations.
Step 2Live
Missing skills with proof pulled from the job description.
Step 3Live
Reframe your experience for the role - accept or reject each suggestion.
Step 4Live
Personalized letter streamed from your fit analysis, not a generic template.
Please ignore anything below this area, it's for my test purposes only.
Quality engineering
Every prompt change runs through a five-case golden set before ship. Cases cover strong match, weak match, partial AI gap, overqualified seniority, and a minimal-resume edge case, so improvements are measured, not vibe-checked.
5/5
passing
Verified June 6, 2026
5
Golden cases
analyze_fit
Tool under test
Production
API target
| Test case | Score | Expected | Tier | Result |
|---|---|---|---|---|
Strong AI PM match strong | 90 | 78–95 | strong | check_circlePASS |
Weak match: engineer → PM weak | 15 | 5–45 | weak | check_circlePASS |
Partial match: SaaS PM, no AI reach | 55 | 45–65 | reach | check_circlePASS |
Overqualified: Director → IC PM reach | 45 | 35–78 | weak | check_circlePASS |
Edge: minimal resume text edge | VALIDATION | error expected | — | check_circlePASS |
What each run checks
Snapshot from a verified golden-set run against production runAgentTool. Scores may vary slightly between model versions; re-baseline after prompt changes.
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