00 Start

A recruiter gives your resume 6 seconds. AI will give it as long as you need

Let it look with the same eyes — and say out loud what a recruiter usually only thinks.

I've hired performance marketers by the hundreds — 500+ people, easily. And here's what that taught me: candidates get rejected less often because they lack experience, and more often because that experience is written in words that say nothing — "responsible," "team player," "good communicator." A resume like that gets closed halfway through the first paragraph.

Next up: 6 prompts. Together they cover the whole distance from "resume gets zero replies" to "answering tricky questions with confidence" — first a brutally honest read of your current resume, then rebuilding it around numbers, then checking it against a real posting and building three summary versions, then prepping for specific questions, then a hard mock interview with the same interviewer persona.

What you'll walk away with

• A recruiter's-eye breakdown of your resume — what catches attention, what raises doubt, what sounds empty
• Rewritten experience bullets — the result+numbers formula instead of a list of duties
• An ATS match against a real posting — a match percentage and exactly what your resume doesn't cover
• Three summary versions — for the filter, for a human, for a startup
• 15 likely questions broken down by what the interviewer is actually testing for
• A rehearsed interview — AI pushes like a real strict HR until your answers get sharp

00 Start

A "good resume" and a resume that actually gets a call are different texts

The difference isn't formatting. It's whether the text answers the one question a recruiter is actually asking.

A recruiter doesn't really read a resume — they scan it for proof that you've already produced this result before. Prompt one shows you exactly where that proof is missing. Prompt two writes it in.

01 Resume

What role are we aiming at?

Write it the way the job posting words it — we'll reuse those exact words in the prompts.

Role: [ROLE]. Industry: [INDUSTRY].

01 Resume

Prompt 1 — resume audit through a recruiter's eyes

Open your resume in another tab and copy the full text — you'll need it now.

Here's my resume: [paste resume text].

Act as an HR recruiter in the [INDUSTRY] field who screens 200 resumes a day for a "[ROLE]" role. Look at mine and answer:
— What catches your eye in the first 6 seconds?
— What raises doubt?
— Which phrases sound empty ("responsible," "team player," "good communicator")?

Score the resume out of 10 and explain each point.

Brace yourself: this is usually more honest than feedback from an actual recruiter friend — AI isn't worried about hurting your feelings. If it goes easy on you, say so directly: "don't hold back, score it like you've got 300 resumes in the queue and I'm not your friend."

01 Resume

Prompt 2 — rewrite bullets into results

Every duty turns into evidence through the same formula.

Take every bullet in my experience and rewrite it using the formula: [what I did] → [what result] → [in numbers].

Example: not "handled marketing," but "launched 3 ad campaigns that generated 1,200 leads on an $80k budget."

If there are no numbers, suggest which metrics I could add and help me phrase them.

That last line matters most. Most people don't have exact figures on hand, and that's fine — AI will point to where those numbers could plausibly live ("how many people were on the team," "how much faster did the process get," "how many clients did you serve per month") — and you'll recall the rough order of magnitude yourself.

01 Resume

Prompt 3 — ATS match against a real posting

One resume, many postings — checking the match for each one is cheaper than rewriting the whole resume from scratch.

Most large companies run resumes through an ATS (Applicant Tracking System) — software that scans the text for a match against the posting — before a human ever sees it. A resume can be beautifully rewritten around results and still fail that filter if it's missing the right words.

Here's the job posting I'm applying to: [paste posting text].

Here's my resume, already rewritten around results: [paste the resume from the previous step].

Act as an ATS (Applicant Tracking System) that scans resumes before a human sees them. Compare my resume to the posting and show:
— a keyword/skills match percentage,
— specific words from the posting missing from my resume — worth adding verbatim if they're actually true for me,
— which requirements in the posting my resume doesn't cover at all.

Don't rewrite the resume for me — just show the gaps, I'll fill in the wording myself.

If the percentage is low, don't panic yet. Often it's not the experience, it's the words: the posting asks for "project management," the resume says "task coordination" — same thing to a human, not to an ATS.

01 Resume

Prompt 4 — three versions of the same resume

The same resume shouldn't sound identical to a filter, a human, and a startup.

An ATS looks for keywords. A live recruiter looks for a story that's easy to retell. A small-company founder looks for someone who can cover three roles at once, not one narrow one. Three audiences read the same text with three different questions in mind — the summary at the top is worth adapting for each.

Build three summary versions (2-3 sentences at the top of the resume) based on my rewritten experience: [paste resume].

1) For the ATS filter — as many exact keywords from the "[ROLE]" posting in [INDUSTRY] as possible, formal tone, no metaphors.

2) For a human reading the resume — natural, human, leading with the result that's clear without extra context.

3) For a startup — foreground that I can cover several roles at once and own outcomes, not just tasks.

Each version — no more than 3 sentences.

02 Interview

Prompt 5 — 15 questions worth prepping for

The goal isn't memorizing answers — it's understanding what each question is actually testing.

I'm interviewing for a [ROLE] role at a company in the [INDUSTRY] field.

Write 15 questions I'll likely be asked — from standard to tricky. For each one, write:
— what the interviewer actually wants to hear,
— the ideal answer structure,
— a sample answer based on my resume [paste the rewritten resume from the previous step].

Separately, list 5 questions I should ask myself to come across as a strong candidate.

The valuable part here isn't the question list itself (you can find that anywhere) — it's the "what the interviewer actually wants to hear" column. "Tell me about a conflict with a coworker" rarely tests the conflict itself; it usually tests whether you can talk about yourself without self-blame or shifting responsibility.

02 Interview

Prompt 6 — mock interview

Not a list anymore — a live conversation, with AI acting like a real, exacting interviewer.

Play a strict interviewer for a [ROLE] role.

Ask questions one at a time, wait for my answer, then evaluate: what was strong, what was weak, how to rephrase it. If my answer is vague, push back like a real HR would: "can you be more specific?", "any numbers on that?"

After 10 questions, give an overall verdict and 3 key pieces of advice.

Answer by voice or text — but treat it exactly like a real interview: full sentences, no "so, uh, basically what happened was." It's tempting to cut corners and answer in bullet points — don't. That's where the actual training happens.

03 Level up

Your resume and answers are ready. Don't fumble the first minute

Same experience, same prep — but if the first 60 seconds of the conversation are muddled, all that work starts in a hole.

There's a separate method for introducing yourself in one minute and actually being memorable — it works both in the interview itself ("tell me about yourself") and at the networking event afterward. Same formula as the resume: not "who I am," but "what's in it for you" — just spoken out loud this time instead of read off a screen.

03 Final

Done. Same experience — a completely different pitch

Where to go next

• Refresh the resume and answers for every new role — same 6 prompts, just two different fields up top