
What changed for me with LLM tooling
The interesting question stopped being “can the model write this for me” and started being “what do I actually want to be doing with my time.”
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Classification, detection, OCR. Mostly an exercise in making PyTorch behave well behind a real API.

An interactive 3D view of a network, with live activations and a tiny educational arc baked in.

Self-hosted n8n with custom nodes for the parts that needed real logic. Replaces a lot of weekly manual work.

A browser playground for chaos theory and friends, fast enough that you can scrub parameters in real time.

The interesting question stopped being “can the model write this for me” and started being “what do I actually want to be doing with my time.”

CAP gets all the press, but the part that actually shows up in your week is the apology email you send when something inconsistent leaks into a customer’s view.