Tag: Artificial Intelligence

I built CodexLib (https://codexlib.io) — a curated repository of 100+ deep knowledge bases in compressed, AI-optimized format. The idea: instead of pasting long documents into your context window, you use a pre-compressed knowledge pack with a Rosetta decoder header. The AI decompresses it on the fly, and you get the same depth at ~15% fewer tokens. Each pack covers a specific domain (quantum computing, cardiology, cybersecurity, etc.) with abbreviations like ML=Machine Learning, NN=Neural Network decoded via the Rosetta header. There's a REST API for programmatic access — so you can feed domain expertise directly into your agents and pipelines. Currently 100+ packs across 50 domains, all generated using TokenShrink compression. Free tier available. Curious what domains people would find m...

Most people just type into ChatGPT like it's Google. Claude with a structured system prompt using XML tags behaves like a completely different tool. Example system prompt: <role>You are a senior equity analyst</role> <task>Analyse this earnings transcript and extract: 1) forward guidance tone 2) margin surprises 3) management deflections</task> <output>Return as structured JSON</output> Then paste the entire earnings call transcript. You get institutional-grade analysis in 4 seconds that would take an analyst 2 hours. Works on any 10-K, annual report, VC pitch deck. Game over for basic research. submitted by /u/broSleepNow [link] [comments]