Pre-computed market context for agents
Categorical market vocabulary beats raw OHLCV for agent reasoning and token efficiency.

Opinion piece on Goodhart's Law in AI token pricing without new tooling or data.
CTOs and AI product managers evaluating deployment costs
Ben Thompson Stratechery · MIT Technology Review
In this post we discussed about the problems and the way of looking at it and what can be done.
Categorical market vocabulary beats raw OHLCV for agent reasoning and token efficiency.
Site is behind a Cloudflare security wall and reveals zero technical substance about the tool.
On-chain USDC settlement for AI inference when Together and Replicate already exist.
Generates 7 marketing assets from Git commits, but manual onboarding limits immediate automation.
AI agents clustering market signals feels like another Perplexity wrapper.
GTM advice for engineers when Y Combinator and Paul Graham already cover this.