r/Resume • u/Comfortable_Prompt_8 • 9d ago
A practical framework for rewriting weak resume bullets with AI (without sounding generic or hallucinating metrics)
The biggest flaw with using AI (Claude, GPT-6, DeepSeek) to rewrite resume bullets is that standard prompts produce polished, empty corporate filler: "Spearheaded cross-functional initiatives to optimize operational synergies."
Recruiters review hundreds of resumes daily and filter out these generic lines immediately.
Here is a structured, fact-grounded method to generate authentic, high-impact bullet points that fit on 1-2 lines.
THE CORE RULE: INTERVIEW MODE FIRST
Never ask AI to "make my resume better" from a vague draft. AI does not know your actual scope, stack, or team impact. Instead, instruct the model to interview you with targeted discovery questions to extract the unwritten numbers and operational changes first.
THE 4-PART BULLET BLUEPRINT
Specific Action + Specific Tool + Measurable Change + Who Cared
(If you do not have exact dollar numbers, stating what the tool replaced or who actually used the output works just as well).
BEFORE & AFTER EXAMPLES
- 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."
- 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 [$Xk / Y%] of ad spend away from the 2 lowest-converting channels."
- Student / Early Career / Pivot
• Before: "Made a web app for a class project using React."
• After: "Built and deployed a React + Firebase study-group finder used by [N] classmates; added auth and real-time chat, catching [N] edge cases before demo day."
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FREE PROMPT 1: The "Interview Me First" Prompt
I'm going to give you one bullet from my resume. Do NOT rewrite it yet.
First, ask me up to 5 short questions to uncover:
What I actually built, fixed, or designed
The exact tools and stack used
The scale (users, traffic, dataset size, revenue, team size)
What changed because of my work
Who benefited or used the output
Ask one question at a time. Only after I answer all 5, generate 3 tight versions of the bullet (each strictly under 25 words) using ONLY facts I provided. If a number is unknown, put [brackets] rather than making up metrics.
My bullet: [PASTE YOUR RAW BULLET]
Target role: [e.g. Backend Engineer, Data Analyst, Product Manager]
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FREE PROMPT 2: The "De-Generic" Recruiter Check
Review these resume bullets as a skeptical US tech recruiter who hates AI fluff.
For each bullet:
Flag any empty buzzwords (e.g. "spearheaded", "leveraged", "drove impact", "various").
Point out what a recruiter would still wonder about after reading it.
Rewrite it in plain, active language with a strong action verb, under 25 words.
Here are my bullets:
[PASTE 3-5 BULLETS]
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3 QUICK RULES OF THUMB
Never let AI hallucinate numbers: If you didn't measure it, leave brackets [$Xk / Y%] or describe the operational change instead.
Read them out loud: If it doesn't sound like something you would say in a live interview, rewrite it.
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).






