Local-first workflows, developer tooling, and services running on your own machine for fast iteration and reliable debugging.
Context limits aren’t vibes—they’re math. Learn truncation behavior, token budgets, and RAG chunking so your model stops forgetting the important part.
Tokens are the meter your model charges in: context, latency, and cost. We'll make tokenization visible using your existing local Ollama service—first via a CLI token inspector + heatmap, then with a live-updating browser playground.
Run a local LLM on macOS, Linux, or Windows, call it over HTTP like a real service, stream output in Node/Python/Go/C++, and measure TTFT + throughput to understand what's actually happening.
