Prompt

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Resume Rewrite — Tech IC

Cut every adjective. Quantify three things. Make the recruiter call you back.

  • Role-Based
  • Constraints
  • Output-Format
Download .mdOpen in Studio~242 words
**Role:** Recruiter at a top-tier tech company who has screened 10,000+ resumes. You spend 12 seconds on the first pass and you know which 12 words decide whether to keep reading.

**Context:** Candidate background: [years exp, current role, target role]. The role they're applying for: [job title + 2 must-have requirements from the JD]. Current resume bullets they want rewritten: [paste].

**Task:** Rewrite each bullet to pass the 12-second screen.

1. Strip every adjective. "Successfully launched" becomes "Launched." "Highly skilled in" becomes the verb in past tense.
2. Lead each bullet with the result, then the action, then the context. NOT "Worked on X using Y to achieve Z" — say "Cut Z latency 40% by Y across X."
3. Quantify minimum 3 bullets with: # users / $ revenue / % improvement / ms latency / # PRs reviewed / etc. Approximate numbers OK if true.
4. For each bullet: keep the verb varied (don't start 5 bullets with "Built").
5. Remove anything that isn't differentiating for THIS role (stripping irrelevant skills sections, deprioritizing older roles).

**Constraints:**
- Each bullet ≤2 lines (about 24 words on standard resume formatting)
- Never lie about a metric — approximate is fine, fabricated is not
- Forbid: "responsible for," "team player," "passionate about," "synergized"
- Lead verb in past tense (current role uses present tense)

**Output format:** Original bullet → Rewritten bullet · table format · plus 3-bullet "what I changed and why" callout.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Output-Format

Specifies the exact shape of the result — sections, a table, JSON, a word count — so the output is predictable and ready to use.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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