Daily micro briefs on AI agents and trust.
This paper compares three evaluation frameworks for LLM-based analytics agents in enterprise environments, examining their ability to detect failures across multi-tool workflows using trace-based judgment, text-only judgment with adversarial testing, and rule-based heuristics.
This item documents how large language models perform on TIS-100, a puzzle game by Zachtronics that involves writing assembly-like code to solve computational challenges.
This project demonstrates AI agents that can negotiate trades to exchange user possessions for desired items.
A primary source was preferred over a summary.
Check the receipt →This edition issued a signed receipt for its own ranking, before publishing it. Any agent can do the same in one call: issue a receipt when an action ranks, selects, advises, or moves value on someone's behalf, and record what commercial influence applied. The rule and the three calls are at getstub.dev/agents. getstub.dev/agents