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CASE STUDY

ResAI.tech – AI-Powered Resume Creator

Transforming resume creation from a tedious task into a 2-minute workflow.

Context

Why Does This Matter?

Applying to jobs has become a numbers game. Job seekers send out 50–200 applications, yet hear back from only a few. One major hidden blocker? Applicant Tracking Systems (ATS) — automated resume screeners that reject applications not tailored to job descriptions.

The Current Challenge

Despite access to tools like ChatGPT, candidates still spend 20–30 minutes per application: copying job descriptions → generating responses → editing in Word → formatting → exporting PDF → uploading.

The tailoring process becomes a bottleneck — not a differentiator.

Problem

What Is The Core Issue?

The problem isn't generating content. The problem is everything around it.

Current Process

  • Paste job descriptions into ChatGPT
  • Manually rewrite and format resumes
  • Fight with Google Docs or Word templates
  • Export a clean PDF
  • Repeat 100x per week

Impact

  • Application fatigue and drop-off
  • Inconsistent formatting and missed keywords
  • Less confidence in every submission

Market

Competitive Landscape

Tool Pros Cons Notes
ChatGPT Flexible rewriting No formatting or PDF output Requires manual formatting
Jobscan JD vs Resume keyword scoring No smart rewriting or content generation Limited to analysis only
Rezi.ai ATS formatting, design options Locked behind paywalls, overcomplicated UI Premium features restricted
ResAI.tech Fast, smart, exportable output MVP-stage, limited styles Early in feedback loop

Market Opportunity

Create a tool that goes beyond generation. The real value lies in reducing friction from:

Enter JD + Resume → AI Optimized Resume → Download PDF

One seamless flow, zero friction

Hypothesis

If we build a fast, no-login resume tailoring tool that takes a job description and resume and outputs a clean, ATS-optimized PDF in under 2 minutes, then:

More job seekers will tailor their resumes per role

Time-to-apply will drop significantly

Confidence in each application will increase

Resume quality (ATS match rate) will improve

Audience

Primary Users

  • Students and recent graduates
  • Career switchers and bootcamp grads
  • Job seekers on deadlines

Key Traits

  • Tech-savvy but not technical
  • Burned out by repetitive editing
  • Use LinkedIn, Notion, and ChatGPT

User Journey

Before ResAI.tech

Before ResAI.tech User Journey

After ResAI.tech

After ResAI.tech User Journey

Solution

Introducing ResAI.tech

ResAI.tech Solution Overview

A lightweight, fast, browser-based tool that lets users:

  • Paste a job description and resume
  • Click "Optimize Resume"
  • Instantly see a tailored version
  • Make inline edits
  • Download a clean PDF

No sign-up required. No credit card required. Easy to use.

How It Works

Input Panel

Input Panel

Paste your JD on the left. Paste your resume on the right.

AI Enhancement

AI Enhancement

GPT smartly rewrites and reorders bullet points using JD context.

Review

Review Interface

Inline editor lets users tweak or replace content.

Export

Export Options

One-click download of an ATS-optimized PDF.

MVP Features & Roadmap

Current Features

Dual Input Interface

Job description and resume input panels for clear intent

GPT-Driven Keyword Integration

Smart rewriting and reordering of bullet points

Inline Editing

Real-time content modification capabilities

PDF Export

One-click download of ATS-optimized resumes

Future Roadmap

Resume Styling Options

Classic, modern, and clean template variations

Usage Limits & Auth

Fair usage policies and user management

Resume Match Scoring

JD-to-resume match percentage analysis

Tracking Dashboard

User history and application tracking

Measuring Success

Quantitative Metrics

Resume generation time< 2 min
User conversion (click to PDF)70%+
Bounce rate< 30%
Repeat usage rate2+ resumes/week

Qualitative Metrics

  • User satisfaction: Feedback DMs + surveys
  • Resume confidence levels: Self-reported via form
  • DM/inbound engagement: LinkedIn, Instagram DMs

Risks & Tradeoffs

Formatting Accuracy

Challenge: GPT output can break structure or spacing

Mitigation: Manual tuning, CSS structure hardening

ChatGPT Competition

Challenge: People perceive LLMs as DIY tools

Mitigation: Focus positioning on "speed + polish"

Feature Scope

Challenge: Early feature creep

Mitigation: Strict scope for MVP, public roadmap

Impact

For Job Seekers

  • Less fatigue, more speed
  • Higher quality resumes per job
  • Feeling of momentum and control

For Recruiters

  • More tailored, relevant resumes
  • Fewer keyword mismatches
  • Better interview pipelines

For Me (as a PM)

  • Learned end-to-end MVP thinking
  • Validated real user needs fast
  • Built in public, received inbound interest

Final Thoughts

ResAI.tech transforms resume tailoring from a tedious task into a 2-minute workflow. It doesn't just "use AI" — it uses AI to remove friction.

Built solo. Launched fast. Shaped by real pain. The kind of MVP I'd build again at your company — with users at the center, outcomes over outputs, and zero wasted steps.

I welcome the opportunity to discuss this project further and explore potential collaborations.

📧 Email: saisurajmvv@gmail.com

🔗 LinkedIn: linkedin.com/in/saisurajmatta

© 2026 Sai Suraj Matta. All rights reserved.