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Arham Aalam
Arham Aalam

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5 AI Prompt Frameworks to Beat ATS Resume Filters & Negotiate Tech Compensation

Most software engineers write resumes backwards: they list daily job duties instead of quantified engineering outcomes.

Meanwhile, modern Applicant Tracking Systems (ATS) and technical recruiters spend less than 7.4 seconds scanning a resume before deciding whether to advance or reject a candidate.

Here are 5 structured, parameterized AI prompt frameworks ({variables}) you can run in ChatGPT, Claude, or Gemini to transform raw project notes into high-signal engineering bullets—plus how to access all of them in 1 tap on Android with Lazy Prompts.

1. The Google XYZ Formula Quantifier

Google's recruiting team famously recommends the XYZ structure: "Accomplished [X] as measured by [Y], by doing [Z]."

Act as a Staff Technical Recruiter at a Tier-1 tech company. Rewrite my raw engineering notes below into 4 high-impact resume bullet points using Google's XYZ formula (Accomplished [X] as measured by [Y], by doing [Z]) tailored for a {target_role} position. Emphasize latency, scale, reliability, or revenue impact:
{raw_notes}
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2. The ATS Keyword & Skill Gap Analyzer 

Compare my current resume against the following job description for {target_role}. Identify: (1) missing hard technical keywords and architectural concepts, (2) weak verbs that should be replaced with ownership verbs, and (3) 3 specific bullet rewrites that naturally integrate the missing terms without keyword stuffing:
Job Description: {job_description}
My Resume: {resume_text}
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3. The System Design / Behavioral STAR Story Builder 

Turn the following engineering project into a crisp 90-second STAR (Situation, Task, Action, Result) interview narrative for a {seniority_level} interview. Highlight the architectural trade-offs I evaluated, why the chosen design won, and the measurable post-launch outcome:
{project_summary}
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4. The Collaborative Salary Counter-Offer Script

Most engineers leave 15–25% total compensation on the table because they negotiate emotionally instead of anchoring to market data.

Act as an executive compensation negotiator. Draft a warm, collaborative counter-offer email for a {role_title} offer where the initial base is {current_base}, equity is {current_equity}, and my target total compensation is {target_comp}. Anchor the request to {key_strengths_and_competing_signals} while keeping enthusiasm high.
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5. The LinkedIn Headline & "About" Section Optimizer 

Transform my resume below into: (1) 3 high-search-visibility LinkedIn headlines for a {target_role}, and (2) a concise, first-person LinkedIn 'About' summary structured around engineering philosophy, core systems shipped, and domain expertise:
{resume_text}
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Read the Full Deep-Dive Guides

Run All 500+ Prompts on Android in 1 Tap

Tired of copying prompt templates from notes apps on your phone? Lazy Prompts adds a 1-tap floating overlay bubble over ChatGPT, Claude, and Gemini on Android with instant {variable} fill.

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