posts
Building a Real AI Harness: Auto-Reviewed PRs, Self-Healing Ops, and Non-Engineer Contributors (Series Intro)
Series intro to cortex, airCloset's internal AI platform that auto-reviews PRs, self-heals ops, and lets non-engineers ship apps. Why harness engineering matters now.
Graph RAG Isn't a One-Shot Anymore — The Case for Agentic Graph RAG MCPs
Vector RAG and one-shot Graph RAG both flatten the search step. Agentic Graph RAG hands the graph to an LLM as an MCP and lets it traverse relationships iteratively.
Cutting Self-Built MCP Server Token Usage by 90% — The Parking Pattern
MCP responses fill the context window fast. The parking pattern stores heavy payloads externally and returns only a key — about 90% token savings in production.
Bridging 'I Want to Build' and 'I Want to Publish Safely' for Non-Engineers — Sandbox MCP
Non-engineers can build AI apps, but publishing safely is still gated by engineers. Sandbox MCP gives them a one-command path to deploy Web/API/DB/Cron with guardrails.
Still Measuring Initiative Impact Manually? How We Used Graph RAG + MCP to Make It Explorable
Measuring 'did that initiative actually work?' usually means manual SQL spelunking. We modeled initiatives × KPIs as a graph and let an LLM traverse it via MCP.
How We Built an Automated Meeting Intelligence System with Google Meet, Slack, and RAG
AI summaries aren't enough — context dies when a meeting ends. We pipe Google Meet recordings to Slack, transcribe everything, and make history queryable in natural language.
We Built 17 MCP Servers to Let AI Run Our Internal Operations
Overview of 17 MCP servers we built in three months at airCloset, covering DBs, infra, docs, project management, observability, CI/CD, and even non-engineer code edits.
Democratizing Internal Data — Building an MCP Server That Lets You Search 991 Tables in Natural Language
Internal data lives across 15 schemas, 991 tables, 11 SQL DBs and 6 MongoDBs. DB Graph MCP lets Claude search and query the whole thing in natural language.