Mechana builds ambitious software for specialized real-world domains, with carefully engineered intelligence under the hood.
Chain of custody for your own thinking
tameyeti
Personal knowledge management with
AI-powered emergent organization. Notes
on steroids.
Confirmation codes, 3am inspiration, the address John just texted. Bagged, tagged and served right back on demand.
Find your flight confirmation code. Find your purpose.
The yeti builds the atlas of your life.
Routes Telegram messages to Claude Code agents via Redis. Multiple agents, separate bots, session persistence keyed by issue number, MCP integration for Claude Desktop participation. Message a bot and get a Claude Code agent running against your actual repo. Access-tiered: trusted users get full CLI dispatch, guests get API-only.
Strategy research and optimization platform built for a client engagement. Ports Pine Script strategies to Python, pulls historical data from Alpaca, and runs structural variants through LEAN or vectorbt. Drives TradingView Desktop directly via a Chrome DevTools Protocol MCP server: compile Pine, read backtest results, change parameters without screen scraping.
An MCP server (historia_naturalis) implementing a structured debugging ledger for AI agents. Separates confirmed observations from theories, tracks failed paths so agents do not recycle dead ideas, and names the cognitive biases that steer debugging sessions off course. Based on Francis Bacon's empirical method. Integrates with Claude Code via the ORION Protocol.
I started in fintech in the nineties building fraud prevention systems. Architecture pulled me away from it — I went back to school and came out with a master's from SCI-Arc.
For fifteen years I ran a design firm in Los Angeles working across buildings, branding, and luxury residential projects. I taught studios at SCI-Arc and juried at UCLA, ArtCenter, and IFA Paris.
Then software got interesting again.
I returned to development through PassNinja, where I started as a junior developer and later became lead. After that I worked with Suffolk Construction on a 3D AI-driven system for generating high and mid-rise architectural plans, and later helped guide the upgrade of a massive enterprise dispatch and billing platform.
Over the past year I founded and shipped a production AI application for iOS and Android built around coordinated AI-agent workflows as part of daily development infrastructure.
I have degrees in philosophy, economics, and architecture. I restore old sailboats, occasionally join offshore deliveries, trek, play guitar, and have lived in roughly fifty countries.
mechana.ai runs a multi-agent engineering environment where each agent carries a distinct identity. That is not affectation: humans have modeled others since long before language, and keeping agents clearly distinct as characters affects how requests are framed, which in turn affects how they respond. The personality assignment is practical infrastructure, not flavor.
The coordination layer is ai-mycelium: Telegram webhooks feed a Redis queue, the dispatcher routes to per-agent Claude CLI workers, sessions persist by issue number across restarts. Each agent has a dedicated bot, its own git identity, and defined scope.