u/Comfortable_Prompt_8

When most job seekers ask AI (ChatGPT, Claude, DeepSeek) to "improve my resume," they get generic fluff that screams AI: "Spearheaded strategic operations to optimize cross-functional impact."

Recruiters review hundreds of resumes a day and spot these patterns immediately.

Here is the exact method and prompt framework to generate tight, authentic bullet points that highlight real scope.

THE CORE RULE: INTERVIEW MODE FIRST

Never ask AI to rewrite a bullet point directly from scratch. AI does not know your actual scope, data size, or team challenges. Instruct it to interview you with targeted discovery questions first to extract the unwritten numbers and metrics.

THE 4-PART IMPACT FORMULA

Specific Action + Specific Tool + Measurable Change + Who Cared

(If you do not have hard dollar numbers, what the tool replaced or who used it works just as well).

BEFORE & AFTER EXAMPLES

1. Software / Backend Engineer

• Before: "Worked on backend APIs for the payments team."

• After: "Rebuilt the refund API in Go, cutting p95 latency from [X]ms to [Y]ms and removing a nightly batch job the on-call team had to babysit."

2. Data Analyst / BI

• Before: "Made dashboards for the marketing team."

• After: "Built a Looker dashboard tracking weekly signup-to-paid conversion by channel; marketing used it to reallocate [$Xk / Y%] of ad spend away from the 2 lowest-converting channels."

3. Student / Junior Project / Career Transitioner

• Before: "Made a web app for a class project using React."

• After: "Built and deployed a React + Firebase study-group finder used by [N] classmates; added auth and real-time chat, catching [N] edge cases before demo day."

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FREE PROMPT 1: The "Interview Me First" Prompt

I'm going to give you one bullet from my resume. Do NOT rewrite it yet.

First, ask me up to 5 short questions to uncover:

1. What I actually built, fixed, or designed

2. The exact tools and stack used

3. The scale (users, traffic, dataset size, revenue, team size)

4. What changed because of my work

5. Who benefited or used the output

Ask one question at a time. Only after I answer all 5, generate 3 tight versions of the bullet (each strictly under 25 words) using ONLY facts I provided. If a number is unknown, put [brackets] rather than making up metrics.

My bullet: [PASTE YOUR RAW BULLET]

Target role: [e.g. Backend Engineer, Data Analyst, Product Manager]

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FREE PROMPT 2: The "De-Generic" ATS Sanity Check

Review these resume bullets as a skeptical US tech recruiter who hates AI fluff.

For each bullet:

1. Flag any empty buzzwords (e.g. "spearheaded", "leveraged", "drove impact", "various").

2. Point out what a recruiter would still wonder about after reading it.

3. Rewrite it in plain, active language with a strong action verb, under 25 words.

Here are my bullets:

[PASTE 3-5 BULLETS]

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3 QUICK RULES OF THUMB

1. Never let AI hallucinate numbers: If you didn't measure it, leave brackets [$Xk / Y%] or describe the operational change instead.

2. Read them out loud: If it doesn't sound like something you would say in a live interview, rewrite it.

3. Model Selection: Running the extraction phase in reasoning models (like GPT-6 / DeepSeek) to pull out the facts, then polishing in Claude Opus gives the cleanest, non-robotic phrasing.

Happy to review a bullet or two in the comments if anyone wants a second set of eyes (feel free to omit company names).

If you've tried using AI (Claude, GPT-6, DeepSeek) to polish your resume, you probably noticed the default output often sounds robotic: "Spearheaded cross-functional initiatives to drive impactful operational excellence."

Recruiters and hiring managers spot these cliché buzzwords immediately.

Here is the exact formula and prompt workflow to get crisp, human-sounding bullets that fit on 1-2 lines.

THE CORE RULE: INTERVIEW MODE FIRST

Never ask AI to "make my resume better." AI cannot invent your real contributions or team impact. Instead, instruct it to interview you to extract the unwritten numbers, tools, and outcomes before writing a single line.

THE 4-PART BULLET FORMULA

Specific Action + Specific Tool + Measurable Change + Who Cared

(If you do not have hard dollar numbers, what the tool replaced or who actually used it works just as well).

BEFORE & AFTER EXAMPLES

1. Software / Backend Engineer

• Before: "Worked on backend APIs for the payments team."

• After: "Rebuilt the refund API in Go, cutting p95 latency from [X]ms to [Y]ms and removing a nightly batch job the on-call team had to babysit."

2. Data Analyst / BI

• Before: "Made dashboards for the marketing team."

• After: "Built a Looker dashboard tracking weekly signup-to-paid conversion by channel; marketing used it to reallocate [$Xk / Y%] of ad spend away from the 2 lowest-converting channels."

3. Student / Career Pivot / Junior

• Before: "Made a web app for a class project using React."

• After: "Built and deployed a React + Firebase study-group finder used by [N] classmates; added auth and real-time chat, catching [N] edge cases before demo day."

----------------------------------------

FREE PROMPT 1: The "Interview Me First" Prompt

I'm going to give you one bullet from my resume. Do NOT rewrite it yet.

First, ask me up to 5 short questions to uncover:

1. What I actually built, fixed, or designed

2. The exact tools and stack used

3. The scale (users, traffic, dataset size, revenue, team size)

4. What changed because of my work

5. Who benefited or used the output

Ask one question at a time. Only after I answer all 5, generate 3 tight versions of the bullet (each strictly under 25 words) using ONLY facts I provided. If a number is unknown, put [brackets] rather than making up metrics.

My bullet: [PASTE YOUR RAW BULLET]

Target role: [e.g. Backend Engineer, Data Analyst, Product Manager]

----------------------------------------

FREE PROMPT 2: The "De-Generic" Recruiter Check

Review these resume bullets as a skeptical US tech recruiter who hates AI fluff.

For each bullet:

1. Flag any empty buzzwords (e.g. "spearheaded", "leveraged", "drove impact", "various").

2. Point out what a recruiter would still wonder about after reading it.

3. Rewrite it in plain, active language with a strong action verb, under 25 words.

Here are my bullets:

[PASTE 3-5 BULLETS]

----------------------------------------

3 QUICK RULES OF THUMB

1. Never let AI hallucinate numbers: If you didn't measure it, leave brackets [$Xk / Y%] or describe the operational change instead.

2. Read them out loud: If it doesn't sound like something you would say in a live interview, rewrite it.

3. Model Selection: Running the extraction phase in reasoning models (like GPT-6 / DeepSeek) to pull out the facts, then polishing in Claude Opus gives the cleanest, non-robotic phrasing.

Happy to review a bullet or two in the comments if anyone wants a second set of eyes (feel free to omit company names).

I've spent a lot of time using ChatGPT/Claude/Gemini to rewrite tech resume bullets, and the biggest problem I keep seeing is this: when you ask AI to "make my resume better," you get the same polished, empty sentences everyone else gets. "Spearheaded cross-functional initiatives to drive impact." Recruiters have seen that line a thousand times.

Here's the approach that's worked much better for me.

The rule: give the AI facts and ask it questions first. Never ask it to "improve" a vague bullet.

AI can't invent your impact (and you shouldn't let it). What it can do is interview you, pull out the details you forgot, and structure them clearly.

Before/after examples (illustrative; the numbers in brackets are placeholders you'd replace with your real ones):

Software engineer

- Before: "Worked on backend APIs for the payments team."

- After: "Rebuilt the refund API in Go, cutting p95 latency from [X]ms to [Y]ms and removing a nightly batch job the on-call team had to babysit."

Data analyst / data scientist

- Before: "Made dashboards for the marketing team."

- After: "Built a Looker dashboard tracking weekly signup-to-paid conversion by channel; marketing used it to reallocate [] of ad spend away from the 2 lowest-converting channels."

New grad / student project

- Before: "Made a web app for a class project using React."

- After: "Built and deployed a React + Firebase study-group finder used by [N] classmates; added auth and real-time chat, and wrote the test suite that caught [N] bugs before demo day."

Notice the pattern: specific action + specific tool + what changed + who cared. If you don't have a number, "who used it" or "what it replaced" works too. Don't make up metrics. Interviewers will ask about them.

Free prompt 1: The "interview me first" prompt

I'm going to give you one bullet from my resume. Do NOT rewrite it yet.

First, ask me up to 6 short questions to uncover: what I actually built or did, the tools I used, the scale (users, data size, requests, team size), what changed because of my work, and who benefited.

Ask one question at a time. Only after I answer all of them, write 3 versions of the bullet (under 30 words each) using ONLY facts I gave you. If a number is missing, put [brackets] instead of inventing one.

My bullet: [PASTE BULLET]

Target role: [e.g. Backend Engineer, Data Analyst, Product Manager]

Free prompt 2: The "de-generic" check

Review these resume bullets as a skeptical US tech recruiter would.

For each bullet:

1. Flag any buzzwords or vague phrases (e.g. "spearheaded," "leveraged," "drove impact," "various").

2. Tell me what a recruiter would still want to know after reading it.

3. Rewrite it in plain, specific language with a strong verb, without adding any facts I didn't provide.

Keep each rewrite under 30 words. Here are my bullets:

[PASTE 3-6 BULLETS]

A few more tips:

- Keep a "brag doc" of raw facts (what you shipped, numbers, feedback) and feed the AI from that, not from memory.

- Read every AI bullet out loud. If you wouldn't say it in an interview, rewrite it.

- Tailor the top 3 bullets per role to the job description's actual keywords. Don't keyword-stuff the whole thing.

Hope this helps someone. Happy to look at a bullet or two in the comments if you want to share (remove company names).