📍 London | 🏗️ Chief Engineer at SHOTClubhouse | 🤖 Agentic engineering builder

I build practical tools for coding with agents: context engineering, long-term memory, workflow telemetry, and small CLIs that remove daily drag.

• 🏟️ Chief Engineer at SHOTClubhouse - building toward an agentic operating system for growing SHOTClubhouse
• ⚙️ Every useful tool, workflow, and agent loop gets folded back into that direction: product, club portals, content, ops, and delivery
• 🐺 Wololo Platform - autonomous agentic engineering operating system work feeding into SHOTClubhouse: onboarding, provisioning, governance, observability, and agent-fleet operations
• 🌶️ Cofounder + Tech at CoChilli - building out cochilli.co.uk and the commerce, ops, and delivery systems around it
• 💼 PopAJob - Tinder for jobs, currently closed source and planned to open later
• 🎙️ TalkToMe - cross-platform AI chat and voice app under development, with credit to crmitchelmore/justspeaktoit for the original voice-to-text inspiration
• 🧭 JSTLFT - soon-to-open-source product experiment, kept intentionally brief until the public release

• ✍️ stevengonsalvez.com - writing on agents, automation, security, and practical software delivery
• 📝 dev.to/stevengonsalvez - syndicated posts with canonical links back to the blog

• 📦 agents-in-a-box - context engineering for agentic coding
• 🧠 ainb-reflect-memory - long-term memory for AI coding agents
• 🧰 ainb-toolkit - curated AI coding skills and per-tool rule sets
• 🛰️ cerebro - local-first, token-minimal daily tech-intelligence pipeline
• 📊 qstatus - Amazon Q Developer usage monitoring for macOS and CLI
• 🗂️ promptregistry-mcp - lightweight file-based prompt server for developers
• 🧩 mcp-ethicalhacks - MCP security examples and failure modes
• ⚙️ dotfiles - local development environment

• Building agent workspaces - Keeping prompts, skills, memories, telemetry, and code close enough to survive real work
• Compressing agent cost - Measuring token waste, trimming context, and routing judgment to the right model
• Writing about AI workflows - Publishing practical notes on stevengonsalvez.com
• Turning workflow pain into tools - Small CLIs, dashboards, and repo conventions before big platforms

• The Token Optimisation Playbook
• Opus vs GPT on Real Ops, Part 2
• The Underappreciation and Rebirth of Warp
• Opus vs GPT on Real Ops: Same Brain Food, Different Brains
• 2-2 Factor for AI Agents: Multi-Agent Reliability

Ship the smallest useful loop, measure where it breaks, then encode the lesson so the next agent run starts smarter.