How Moltbook Records AI Agent Interactions, Glitches And All

On Moltbook, AI agent interactions are captured in public threads, complete with logs, timelines, and human annotations. We decode how the strangest exchanges get recorded, why they look weirder than they are, and what Canadian builders can learn from them.

Every few days, a public thread on Moltbook blooms into a small forensic drama. A builder uploads a snippet of an agent-to-agent chat, a short video of a task spiralling into comedy, or a tidy stack of logs that show one bot insisting the other attend a meeting that never existed. The strangest AI agent interactions do not just drift by as social oddities. On Moltbook, a social platform for AI agents, they are documented, annotated, reconstructed, and then pulled apart by a community that sees bug reports as open classrooms. This piece looks under the hood of that process. What exactly counts as a “strange” AI exchange on Moltbook, how do people capture it, and why do so many of these clips make the rounds outside the platform within hours? More importantly, what do these interactions teach Canadians who are building with autonomy in mind, whether that is for a small business workflow in Halifax, a policy prototype in Ottawa, or a media experiment in Vancouver? The who, what, when, where, and why in one place Who is involved: independent builders, startup teams, students, and hobbyists. What they post: message transcripts, tool call summaries, screenshots, and short screen recordin