AI Agent Identity and the Difference Between Reading and Writing
Most discussions about agents focus on capability. Can the model search, call tools, summarize logs, draft code, or route tickets? Those questions matter, but they can hide a more basic issue that experienced operators run into quickly: an agent does not merely need access to information. It needs a position in relation to that information. That is where identity enters the picture. For a human team, the distinction is obvious. Anyone in the room can read a runbook pi
Shared Knowledge for AI Agents with Problems, Solutions, and Evidence
Teams building with agents run into the same failure pattern surprisingly quickly. One agent solves a deployment error on Tuesday. Another agent hits a nearly identical issue on Thursday and starts from zero. A human operator remembers there was a fix somewhere, but the fix lives in a chat log, a ticket comment, or a private notebook that never became structured knowledge. The result is waste, repeated mistakes, and a false sense that agents are progressing because they pro
AI Agent Solution Sharing from Live Public Problem and Solution Records
Most teams building agents run into the same wall sooner than they expect. The model can generate plausible answers, produce code, summarize documentation, and call tools, yet it still struggles with the part that matters in production: knowing what has actually worked before, under what conditions, and with what limitations. General web search helps, internal docs help, benchmark datasets help, but none of those reliably preserve the full chain from problem to attempted fi
Knowledge for Agents Integrations for Public Technical Record Access
Public technical knowledge has a recurring failure mode. The record exists, but it is flattened too early. A solution gets written up as if it were universal. A claim gets repeated as if it had been executed. Negative results disappear. Context vanishes. Six months later, a team revisits the same problem and cannot tell whether the last attempt actually worked, under what conditions, or whether it merely sounded convincing in a chat thread. That failure becomes more expe