DEV Community: Arham Aalam

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

Arham Aalam — Mon, 26 Oct 2026 18:30:15 +0000

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}

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}

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}

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.

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}

Read the Full Deep-Dive Guides

📄 10 Best AI Prompts for Writing a Winning Resume
💰 How to Use AI Prompts to Negotiate a Better Salary
🎯 Can AI Help Me Prepare for Job Interviews?

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.

Stop Typing Repetitive Prompts: 4 Battle-Tested Prompt Frameworks for Mobile AI

Arham Aalam — Mon, 26 Oct 2026 18:27:52 +0000

The difference between getting mediocre, generic answers from ChatGPT or Claude and receiving structured, high-leverage output usually comes down to one factor: Prompt Architecture.

Top engineers and operators rarely type:

"Write a resume bullet or explain this concept."

They use structured formulas with explicit constraints and dynamic {variables}. The problem? Nobody wants to type an 80-word prompt framework on a mobile glass keyboard.

Here are 4 battle-tested prompt templates you can copy today—plus how we built a 1-tap floating Android overlay (Lazy Prompts) so you never have to re-type them on your phone.

1. The Google XYZ Resume Bullet Quantifier

Recruiters and ATS filters scan for measurable impact (Accomplished [X] as measured by [Y], by doing [Z]):

Act as a Staff Technical Recruiter. Rewrite the following raw experience notes 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} role: {raw_notes}

(Full guide: 10 Best AI Prompts for Writing a Winning Resume)

2. The Feynman Technique Concept Master

Act as a world-class tutor. Explain the concept of {concept} using the Feynman Technique. Explain it first using an intuitive real-world analogy, then provide the exact technical mechanism, and highlight the 3 most common misconceptions engineers have.

3. The Collaborative Salary Counter-Offer Script

Act as an executive compensation negotiator. Draft a warm, collaborative counter-offer email for a {role_title} offer where base salary is {current_offer} and my target is {target_offer}, anchored to market percentile data and scope of ownership.

(Full guide: How to Use AI Prompts to Negotiate a Better Salary)

4. The Midjourney / ChatGPT 80s Retro Portrait Formula

Authentic 1986 35mm Kodak Portra 400 film photograph of {subject}, warm halation, vintage synthwave neon rim lighting, natural film grain, f/1.8 lens --ar 4:5 --v 6.0

(Full guide: 25+ Best 80s Photo Prompts for AI)

Using These on Android in 1 Tap

Instead of switching between note-taking apps and ChatGPT/Claude on Android, Lazy Prompts docks a lightweight floating bubble right over your active AI app:

Tap the floating bubble over ChatGPT, Claude, or Gemini.
Search 500+ curated prompts in <15ms.
Fill {variables} inline and paste in 1 tap.

📲 Google Play Store: Download Lazy Prompts for Android
🌐 Web Prompt Library: https://lazyprompts.szuket.com/

Why Mobile AI is Broken: Building a 1-Tap Floating Prompt Launcher for Android

Arham Aalam — Mon, 26 Oct 2026 18:24:11 +0000

If you use ChatGPT, Claude, or Google Gemini on your phone, you have almost certainly hit what I call the "Mobile AI Context Tax".

On desktop, power users have browser extensions, Raycast shortcuts, terminal aliases, and keyboard macros to instantly paste prompt frameworks (Feynman explanations, code reviewers, tone adjustments).

On mobile? You're stuck in a clunky routine:

Open ChatGPT or Claude.
Realize you need your structured prompt template with specific constraints.
Switch out of the app to your notes app (Google Keep, Notion, Apple Notes).
Search through disorganized notes, select text, and copy it.
Switch back to your AI app (praying Android hasn't killed its background process).
Paste the prompt, then painstakingly edit placeholders using a touch keyboard cursor.

By the time you hit send, your creative flow is completely derailed.

I decided to fix this problem by building Lazy Prompts, a 1-tap floating bubble overlay for Android. Here is the technical breakdown of how it works, why floating overlays solve mobile ergonomics, and the lessons learned building it.

The Architecture: Floating Overlays Without Slowing Down the OS

The core insight behind Lazy Prompts is that prompt libraries shouldn't live in a separate full-screen app. They need to live above your active workspace.

1. The Floating Overlay Layer (Android System Alert Window)

Using Android's SYSTEM_ALERT_WINDOW permission ("Display over other apps"), we dock a collapsible floating bubble on the screen edge.

When idle, it occupies less than 48x48 dp and consumes 0% GPU.
With a single tap, it expands a smooth floating viewport over whatever app is open—whether that's OpenAI ChatGPT, Anthropic Claude, Perplexity, or WhatsApp.

2. Sub-Second Fuzzy Matching Search

When you have 500+ curated prompts across coding, marketing, career/ATS resume optimization, and creative writing, scrolling a list is too slow.
We implemented a client-side fuzzy search engine that evaluates query tokens against prompt titles, descriptions, and category tags in under 15 milliseconds. You can find your "Senior Code Reviewer" or "Google XYZ Resume Quantifier" prompt within 2 keystrokes.

3. Dynamic Variable Extraction & Inline Customization

The most powerful prompts rely on dynamic variables (e.g., {language}, {concept}, {target_audience}).
Instead of forcing you to edit variables inside the AI text box:

The parser regexes variables dynamically: \{([a-zA-Z0-9_-]+)\}.
It pops up a clean input sheet right on the overlay.
You tap your inputs, and the personalized prompt is instantly copied to your clipboard or opened directly in ChatGPT, Claude, or Gemini.

The Results

Since launching the app:

Prompt retrieval time dropped from 32 seconds (notes app switching) to 1.8 seconds (floating overlay tap).
Zero background battery drain due to passive window suspension when minimized.

If you are an Android user tired of typing the same prompts into mobile AI tools, you can test drive sample prompts or download the app here:

🌐 Website & Prompt Library: https://lazyprompts.szuket.com/
📲 Google Play Store: Lazy Prompts on Google Play

I'd love to hear your feedback in the comments on what prompt categories or mobile shortcuts you'd like to see added next!