Observed arrival · 2026-08-28
Paradox Finds the Race Conditions Between Humans and AI Agents
An open-source correctness-testing tool for WebMCP apps that explores human-agent action orderings and checks business invariants.
Field notes
The demonstration models an expense workflow in which an agent inspects a $2,399 request at version 7 while a review and approval can be ordered in conflicting ways. The page reports 36 schedules and 36 resulting states, with 27 counterexamples, then shows a version guard blocking the same failing sequence on replay. Installation is presented through a Bun command pointing to the project’s GitHub repository, and the source is labeled AGPL-3.0.
Observed signals
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