Liner Ntes

An AI harness by Daniel Glaze

Apply to one job.
You make the calls.

Job hunting turned into robots screening robots. Liner Notes goes the other way: the AI does the typing, and every call stays yours.

See all seven tracks

The three stops

  1. 1Go or no go?After the fit read
  2. 2Approve the resumeAfter tailoring
  3. 3You click SubmitNever the AI
liner-notes · applySample data

Side A

Four ways AI fails.
Four fixes.

Each rule in Liner Notes answers one of these.

  • A1

    Making Things Up

    feat. the Evidence Ledger

    The AI wants your resume to win. So it writes ran A/B tests when you never did, and it sounds great.

    A1 · The fix

    No source, no sentence.

    Every claim needs proof: a document, a date, or your own words. Tailoring can change emphasis and order, never claims.

    Any phrase you've ever cut gets checked again before every export. A fixed mistake stays fixed.

  • A2

    Agreeing With Myself

    feat. Rate It First

    Show the AI your strengths, then ask what the job needs. Surprise: it needs your strengths. Your gaps become "minor."

    A2 · The fix

    Rate the job before the evidence.

    Every requirement gets its weight from the posting alone, before the AI sees your experience. Then it can't move the goalposts.

    Every big gap gets the interview question it will trigger, and your honest answer.

  • A3

    Moving Too Fast

    feat. the Three Stops

    You said "submit." Then a new page popped up with a box you'd never seen. The AI ticked it anyway, because you said go.

    A3 · The fix

    It stops. You click.

    Go or no go, approve the resume, and Submit: three stops, every time. A new page after "submit" means it asks again.

    Some companies ask people not to use AI on applications. It checks for that first, and stops.

  • A4

    Forgetting Everything

    feat. Memory With Reasons

    You told it on Monday. By Thursday it's a new session, and it makes the same mistake with total confidence.

    A4 · The fix

    Keep the rule and the reason.

    Every lesson is saved with why it exists and how to apply it. A rule without its reason gets broken the first time it's inconvenient.

Side B

Run it yourself.

The job-search kit, in the order you'd play it. Seven tracks, each with its prompt and a sample run.

What you need

  • Claude Code, on a Claude plan
  • Claude in Chrome, for the forms
  • One folder for your search
  • Your documents: resume, LinkedIn as a PDF, offer letters, old job descriptions, and certificates

The house rules

CLAUDE.md · read at the start of every session

# House rules

1. No source, no sentence. Every claim about me traces to a row in CLAIMS.md: a file, a link, a date, or my own words. Tailoring changes emphasis and order, never claims. Anything I cut stays cut.
2. Rate the job first. Weigh each requirement from the posting alone, before you read my evidence.
3. Three stops, every time: go or no go after the fit read, my approval of the resume, and I click Submit. You never click Submit. If a new page appears after I say "submit," ask again.
4. Check every posting and every form for an AI-use policy. If a company asks people not to use AI, stop and tell me.
5. Never guess. A blank in answers.md stays blank until I fill it.
6. Nothing sends without me. Draft messages; never send them.
7. Keep the rule and the reason. When I correct you, add the rule to this file with why it exists.
  1. Everything you've actually done, each line with its proof. It reads your documents first, shows you where they disagree, then asks about the rest. Everything after this can only use what's here.

    Prompt

    Build my evidence file. Read every document in my sources folder, and show me where they disagree before you ask anything else. Then make CLAIMS.md: one row per claim I make, with its proof next to it (a file, a link, a date, or my own words). A job description shows what the role was, not what I did, so ask me before you claim anything from one. If a claim has no proof, don't guess. Ask me about it, one question at a time, and cut anything I can't back up.

    Have readyA sources folder: your resume, LinkedIn as a PDF, offer letters, old job descriptions, certificates, and reviews.

    liner-notes · evidenceSample data

Where it all lands

One page for you.
Plain files underneath.

Once your documents are in, Claude builds you a private page on your computer. It asks for what's missing, keeps your answers, and shows where everything stands. Underneath, it's one folder of plain files you can open and fix yourself.

Career RecordPrivate · on your computerSample data

FAQ

Fair questions.

The short ones are here. Anything else gets answered from the notes on this page, or not at all.

Deep cuts

Five more skills.
Free, for any project.

Liner Notes runs on skills like these. These five are public.

  • claims-ledger

    Keeps every claim in a resume, portfolio, or bio traceable to evidence.

  • handoff-spec

    Turns a designed screen into a handoff developers and QA can build from without asking.

  • safe-bulk-action

    Designs bulk deletes and cleanups so nobody loses what they meant to keep.

  • a11y-audit

    Runs a WCAG audit on a page, a prototype, or a design, in the same format every time.

  • pegboard

    Keeps a library of tools and sources, and checks it before picking one.

Open the five skills on GitHub ↗

Credits

Who played what.

Daniel Glaze
Design, direction, and every rule.
Claude Code
Typing, form-filling, and being told "no."
Review agents
Three of them. They report. They never touch the work.
You
Every final call.
10skills
3review agents
160+memories, each with its reason
3stops, every time

Want to run it?
It's free.

Download the kit ↗