Over the past few months, I’ve been building AIVI — an AI-powered Career Intelligence OS.
It started as a simple idea: build a resume improvement tool using AI.
But while testing existing AI resume tools, I realized something important.
Most of them rewrite content.
Very few actually analyze positioning.
Rewriting your resume doesn’t tell you:
• Why you’re not getting shortlisted
• Whether you actually match the job
• What skills you’re missing
• If you’re ready for promotion
So I shifted the product direction.
Instead of building another AI writer, I focused on structured evaluation.
AIVI now does:
• Resume scoring (ATS + content structure)
• Job match percentage calculation
• Skill gap detection
• Tool gap identification
• 30/60/90 day skill roadmap
• Interview intelligence generation
• Promotion readiness scoring
• Resume rebuild aligned to a specific target role
The key difference is deterministic scoring layered on top of AI analysis.
The system evaluates structured factors instead of just generating better sentences.
Tech stack:
• React + Vite
• Firebase (Auth + Firestore)
• Gemini API
• Server-side structured analysis
• Plan gating + usage tracking
It’s currently live at:
https://aivilabs.com
Right now, my biggest challenge isn’t product — it’s distribution.
I’d genuinely appreciate feedback from fellow builders on:
• Whether this solves a meaningful pain point
• The positioning angle
• How you’d approach early traction for a B2C SaaS like this
Happy to answer any technical or product questions.