Business
ATS-aware resume bullets plus optional cover letter — from your real roles, metrics, and skills without inventing employers or degrees.
The model is instructed to treat your chronology as evidence, not inspiration.
Resume bots that hallucinate a Stanford degree get people rejected — or fired six months in. This writer rephrases and sharpens what you actually did, surfaces metrics only when you supplied them, and flags where quantification is missing instead of inventing it. Cover letters stay short, specific, and tied to a hook you provide so they do not read like Mad Libs for megacorps. The output ends with a verification checklist listing every fact the model refused to invent — so you know exactly what to double-check before submit.
Boring discipline beats clever phrasing.
Recruiter-shaped artifacts, not a wall of prose.
Signal-dense
Compact positioning sentence that mirrors your target role without invented credentials.
Achievement → metric → scope
Past-tense rewrites that lead with verbs, end with outcomes, and skip filler adverbs.
Parser-friendly
Languages, frameworks, leadership tools clustered in the order ATS systems prefer.
≤350 words
One anecdote, one hook, no flattery clichés — only generated when you ask for it.
What it refused to invent
Explicit list of facts the model declined to fabricate so you can fix gaps before submit.
Moments where speed and integrity both matter.
The best resumes are scaffolds for true stories, not dictionaries of action verbs.
Recruiters spend roughly seven seconds on the first scan. Padded action verbs do not survive that window — concrete metrics, recognizable scope, and clean dates do. This writer prioritizes structure: parser-friendly headers, consistent tense, achievement-driven bullets, and skill clusters in the order ATS engines prefer. Where you have not supplied numbers, it uses honest qualitative outcomes instead of inventing precision. The cover letter follows the same discipline — one anecdote, one hook tied to your real interest in the company, no stadium-grade flattery.
Habits that compound across dozens of submits.
Yes — as long as everything in the document is true. AI helps you describe your real work clearly; you certify accuracy when you submit and you own the consequences of every claim.
No tool can guarantee parsers. Balanced ATS mode repeats important nouns without unreadable stuffing, and the structure follows what most parsers expect, but final results depend on your formatting and template.
It is explicitly instructed not to. If a number or company appears in the output that you did not paste, delete it and tighten your chronology field with the exact facts.
Yes — paste richer scope (P&L, headcount, board interactions) and pick the bold-operator tone. The model emphasizes leverage and judgment instead of execution detail.
Mention the target geography in your target-role field ("Senior PM, EU-based") and the model will lean toward longer prose, photo conventions where appropriate, and dates in DD/MM where common.
Defaults to fast streaming text models for quick iterations; switch to a deeper reasoning model when you want better metric framing on a high-stakes application.
Add scope numbers — team size, budget, customer count, line of code — to your chronology. Bullets sharpen when inputs include real magnitude, not when you ask for "more impressive" output.
Velocity for the boring part.
Spend your energy on networking, portfolio polish, and interview prep — let AI collapse the blank-page terror of rewriting the same project five ways for five job descriptions. The tool finishes the boring rewriting; the human in the chair still owns the truth, the negotiation, and the relationships that actually open doors.