Large Language Model
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Enterprise Document Intelligence [Vol.1 #7bis] – Tobi Lütke and Andrej Karpathy named the practice in…
19 min read -
Enterprise Document Intelligence [Vol.1 #M1] – The thesis behind every architectural choice in this series
20 min read -
I benchmarked raw chat history, vector-only RAG, and a context graph on the same multi-agent…
19 min read -
From installing Ollama to launching OpenCode with a local model, step by step.
6 min read -
LLM rate limits don’t just interrupt agent pipelines—they can silently corrupt structured outputs when fallback…
16 min read -
I got tired of copying files into an AI chat just to get feedback. So…
17 min read -
Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive…
22 min read -
Prompt Engineering Isn’t Enough — I Built a Control Layer That Works in Production
Large Language ModelMost LLM failures in production aren’t random — they’re predictable. I kept hitting broken JSON,…
23 min read -
LLM Evals Are Based on Vibes — I Built the Missing Layer That Decides What Ships
Large Language ModelMost LLM evaluation systems rely on vague scoring and human judgment disguised as metrics. I…
24 min read -
Building a knowledge base for AI models isn’t a one-time task but an iterative process…
15 min read