Production systems solving real business problems. Each project focuses on practical outcomes — time saved, costs reduced, decisions improved.
Saving teams 10+ hours/week on meeting follow-ups
Automated pipeline that polls Zoom for new recordings, downloads transcripts, extracts action items and decisions using Gemini AI, and posts structured summaries to Slack within 15 minutes of a call ending.
Serving 30+ custom AI assistants from a single runtime
White-label platform for hosting custom AI agents. Each client gets their own configured assistant with custom system prompts, knowledge bases, and conversation history. Configuration-driven architecture — no code changes needed per client.
Autonomous task dispatch across 3 machines
Framework that coordinates AI agents running on different physical machines (controller + 2 workers). Phase-based project execution with dependency graphs, error recovery, state persistence, and cross-machine messaging via SSH and SQLite queues.
Protecting ad spend across 30+ client campaigns
Real-time monitoring system that detects budget anomalies, lead count drops, and performance shifts across Google Ads campaigns. Alerts team via Slack with confidence tiers and time-based escalation.
Full-stack SEO intelligence from crawl to report
End-to-end SEO analysis system: crawl websites, extract technical SEO signals, analyze content quality with AI, generate client-ready reports. Processes hundreds of pages per crawl with structured data storage.
Production crawler handling sitemaps, redirects, and SEO signals
Self-hosted website crawler built for SEO analysis. Handles sitemap.xml parsing, redirect chain tracking, robots.txt compliance, and outputs structured data for downstream analysis pipelines.
Real-time team communication monitoring with task integration
Monitors Slack channels for mentions, threads, and action items. Syncs with Proofhub for task creation. Multi-user dashboards with per-person views.
Data-driven competitive analysis from 608 profiles
Automated pipeline that scraped and analyzed 608 freelancer profiles from FreelancerMap and Malt. Identified key success factors: GitHub presence (14.5x elite likelihood), bio optimization (11x length difference), and skill specificity patterns.