Ai Systems Built to Operate and Earn

Problem

Founders waste hours on manual LinkedIn prospecting, and most tools risk the account or need constant babysitting.

Build

I built a production multi tenant SaaS: a dashboard, 7 cloud workers, per user isolation, Stripe billing, and outreach automation, with every AI call routed through a cost guarded gateway.

Results

Live on three paid tiers with a hard AI spend cap that stops runaway cost, built after a real overspend incident.

Problem

Running many AI agents at once gives you no single place to see what they do or approve their work.

Build

I built a command center on Next.js 16, React 19, and Supabase, with a live 3D agent view, a voice assistant on the Claude API, and a Mac to cloud bridge that streams live agent activity into the dashboard.

Results

Live in production behind a private URL, running 38 real tables, a daily self improving loop, and tasks that auto derive from live coding sessions.

Problem

Most local business sites book nothing, and every missed call walks straight to a competitor.

Build

I build fast sites where every page pushes one action, then wire in voice agents that answer calls, book jobs, and run cold call campaigns on your lead lists.

Results

Clients get a live site in days with a voice agent on the line around the clock, so no lead is lost to voicemail.

Problem

Creators sit on hundreds of saved posts but have no fast way to turn that swipe file into their own scripts and videos.

Build

I built a remix system: a saves engine syncs and transcribes your saved posts, scores each one against your brand, and a hook engine plus a one command installer stand the whole thing up.

Results

A shipping product that turns any saved post or hook into a script, carousel, or video brief, on autopilot, with winners in a daily digest.