AIWWN
Methodical & predictable

Three plain steps. One quiet morning routine.

No black-box prompts, no AI theatrics. AIWWN behaves like an attentive chief of staff who knows your work, prepares the day's applications, and waits for your word.

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01Ingest

You share what you've actually built.

Upload a CV, connect GitHub, add project case studies. The engine extracts milestones, stack, and outcomes into a structured profile you can read and correct.

career-dossier.json · samplev1 • 06:00
{
  "name": "Marcus Vance",
  "level": "Staff",
  "stack": ["Go", "Rust", "Postgres", "Raft"],
  "milestones": [
    {
      "source": "github:vance/ledger#412",
      "claim": "P99 write latency -38ms",
      "verified": true
    }
  ]
}
02Criteria

Define what you want, precisely.

Salary floor, levels, stage, location, remote, and companies to exclude. These are hard rules, not suggestions: an opening that fails one is never tailored.

Criteria lock · sampleVetting
Base ≥ PKR 250kLahore or remoteSeed to Series BEntry / MidNo agenciesNo contract

Sample: openings scanned • 3 passed all rules

03Execute

AIWWN does the manual grind. You decide.

Every weekday it finds matches, rewrites bullets against the job description with sourced claims only, drafts the note, and reports back in one briefing. You approve each one and apply through the company's own form.

  1. 06:00Refresh Greenhouse and Ashby boards
  2. 06:05Score new openings against your floors
  3. 06:10Tailor up to 3 matches • all held for approval
  4. 06:15Morning briefing delivered
What we will never do

The rules the engine cannot break.

Automation earns trust by being boring and predictable. These constraints are enforced in code, not in a policy document.

Nothing invented

Every claim in a tailored bullet traces back to a repo, a case study, or your own profile. Unsourced claims are dropped, not embellished.

Nothing hidden

You see the diff, the note, and the match reasoning before anything happens. The briefing links to the live application, and you are the one who submits it.

Nothing trained on

Your files are never used to train models or shared across accounts. Delete your account and your profile, files, and images are removed.

Nothing mass-blasted

At most three tailored submissions per weekday run. If fewer roles pass your rules, fewer are prepared. The number is never padded.

Plain answers

Questions operators ask before they start.

Get started in under a minute

Let the search run every morning. Keep every decision.

Zero training on your private files. Nothing sent without your approval. Upload your details and wake up tomorrow with tailored applications waiting for your review.

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