#architecture
6 items tagged architecture.
Scaling Trail from 200 to 100,000 Neurons: An Engineering Note
A compile-time knowledge engine has three workloads that fight for compute — ingest, lint, and the curation queue. Each one breaks at a different corpus size, for different reasons, and requires a different fix. This is the long-form companion to Work That Fits in a Night: the full accounting of where Trail's bottlenecks are, when they hit, and what a deployment looks like at 200, 8,000, 25,000, and 100,000 Neurons.
Work That Fits in a Night: How Trail Stops Caring About Corpus Size
A compile-time knowledge system has to integrate new sources against everything it already knows. That integration cost grows with the corpus — until, one Tuesday, it stops finishing before the next night begins. Here is how Trail makes that cost bounded without going blind to the long tail.
Three Filters on the Gate: How Trail's Curation Policy Borrows from the Structure of Your Mind
A knowledge system without filters isn't a brain — it's a garbage heap. Trail's trusted-pipeline, confidence-threshold, and no-contradictions trio isn't an arbitrary engineering choice. It mirrors a pattern two billion years of evolution converged on.
Compile-Time Knowledge: A Technical Argument Against RAG
RAG is a search engine wearing a language model as a hat. Trail compiles knowledge the way a brain consolidates memory — and the architectural difference shows up in latency, accuracy, provenance, and cost.
How a Brain Actually Remembers: Why Trail Compiles Knowledge Instead of Searching For It
RAG treats knowledge like a filing cabinet. Brains do something fundamentally different — and so does trail. The architecture matters more than the model.
Trail and NotebookLM: Same Ethos, Different Artifact
NotebookLM proved source-grounded ingest-time tools can ship to millions. Trail shares that ethos and diverges on one question: what the system leaves behind.