Founder at AlfaNest Labs. Building the Security Decision Layer for AI and Web3.
I specialize in bridging the gap between smart contract code and operational intent. Currently scaling Clearance (CL), an AI-native audit engine that analyzes 31 critical functions to prevent logic exploits and liquidity drains before they happen.
Obsessed with "Zero Ads" growth strategies, AI infrastructure, and building products that act as an alarm, not just a service.
I built Clearance to solve a critical problem in the ecosystem: static audits that miss operational intent. It’s an AI-native security engine that doesn't just scan code—it delivers a hard verdict.The system is structured into two core layers:Full Operational Audit: 25 deep-scan functions covering liquidity, contract logic, and ownership risks.AI Intent Analysis: 6 specialized AI functions (CL-AI-SHIELD) that detect 'Semantic Drift' and malicious agent behavior.Instead of a 40-page PDF no one reads, we provide a binary verdict (Granted/Denied) to protect users and investors in real-time.
Local-first event bus for AI coding agents. Agents lock a path, publish a patch, receive events, and apply with YES or NO. The repo stays on each machine, not a cloud workspace.