Syed Sheraz Ali

Hey StartupBase community 👋

I built Career AI Pilot after seeing too many talented people get rejected before a recruiter ever read their resume — filtered out by ATS software they didn't know existed.

I'm a Senior Network & Cloud Engineer myself, so I've seen this firsthand. The tools that existed were either expensive, complicated, or just basic keyword stuffers.

So I built a full AI-powered job search platform — starting with a free ATS checker (no signup needed) that tells you exactly why your resume is getting rejected.

Would love your feedback — what's missing, what's confusing, what you'd use daily. Drop a comment or try the free ATS checker at careeraipilot.com/ats-checker.

The combination of generation + humanization + detection verification in one workflow is smart — most tools make you jump between three different products to do what you're doing in one place. Curious how you're handling the detection verification side as the detectors themselves keep evolving — are you testing against multiple detectors simultaneously or focusing on the most widely used ones? I'm building AI tools in the job search space and the "does this sound human" problem comes up constantly with cover letter generation.

The signal vs noise framing is exactly right — most AI news right now is either hype or FUD with very little that helps founders and operators make actual decisions. The 24/7 monitoring + agent-written drafts model makes sense for speed, but curious how you're handling the editorial layer — is there a human review step before publish, or is the curation happening at the monitoring/filtering stage? As someone building in the AI tools space I'd find a reliable weekly digest of "what actually matters" more valuable than constant updates.

The Storyboards canvas with MCP integration is a genuinely interesting approach — letting AI agents handle the creative execution while humans direct is exactly the right division of labor for agency workflows. Curious how you handle brand consistency across generated assets when multiple team members are running different flows? I'm building in the job search space and ran into similar challenges keeping AI output on-brand at scale.