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Career automation

CareerBoost AI

An AI career platform for resume optimization, cover-letter generation, job matching, and skill-gap insights.

Outcome
A clean productized career workflow with onboarding, pricing, resume optimization, and application support positioning.
Next.jsAI SaaSCareer techVercel
CareerBoost AI landing page for AI-powered resume and job search workflows.
Challenge
Job seekers need help turning profile data into tailored applications without losing control of quality, positioning, and next actions.
Approach
01

Position the product around a measurable outcome: land a better job faster.

02

Bundle resume optimization, cover letters, job matching, and skill-gap insights into one candidate workflow.

03

Keep the product surface simple enough for quick trial and pricing iteration.

Project article

Why this project matters.

A short review of the product surface, workflow signal, and portfolio value.

CareerBoost AI is a compact AI SaaS example in the portfolio. It shows how a job-search workflow can be turned into a product with a clear promise, onboarding path, and monetization surface.

The app is intentionally focused: optimize the resume, generate personalized cover letters, match with better jobs, and identify skill gaps. This keeps the AI value understandable to users who care about outcomes more than model details.

For recruiters and clients, this project supports the full-stack AI profile: it demonstrates product packaging, UI clarity, candidate workflow understanding, and Vercel deployment.

Proof points

What the system makes visible.

These are the artifacts that make the project usable beyond the first demo.

Resume optimization
Cover-letter generation
Skill-gap insights
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