Writing
Notes from cloud, AI, and platform engineering work.
Practical observations from building AI products, running local LLM workflows, shipping cloud platforms, and thinking about governance and value.
Cloud for Reach. Local for Control.
Local AI is not just a hobby setup anymore. LM Studio, Ollama, llama.cpp, and quantization make it realistic to run useful models on a 16GB GPU — with a practical quality/speed ...
Building the Products Was the Easier Part
MayaGuru pushed me toward a subscription mindset. ApplyBench taught me almost the opposite — sometimes people just need help at the right moment, not a recurring plan.
Usage Is Not Value
Most internal AI metrics don't tell you whether anything improved. Token usage, tool adoption, and POC counts don't answer the question that matters: is the business better beca...
What's Actually Been Useful About Hermes for Me
Memory layers, work diaries, background workflows through Discord, and Home Assistant integration — what actually makes an AI assistant stick around instead of being a one-off d...
Why I Moved from OpenClaw to Hermes (for now)
OpenClaw kept breaking — 6 versions in 6 days, one broke Codex auth the day it shipped. So I gave Hermes a real shot, and it felt like a better fit for how I work day to day.
