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When Shipping Gets Cheap, Deciding Gets Expensive: Guardrails for AI-Era Cloud Costs
We spent a week going through our AI platform's cloud bill. Cloud Run instance-based billing dropped 84%, container image storage dropped 65%. But the numbers aren't the point. When implementation gets cheap, the slowness that used to force you to ask whether something was worth building disappears with it. This is about what replaced that gate: a cost check at merge time, daily visibility, and quotas set from measured usage rather than the platform default.
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.