AI Agent Research Console

Researchers building AI agents lack a unified testing and debugging environment. AgentDeck is a game console-style interface for running, monitoring, and iterating on AI agent behavior in real-time.

The LangChain and AutoGen ecosystems have exploded in the past 18 months, and debugging agent behavior remains genuinely painful — traces are fragmented, observability tooling is immature, and most researchers cobble together logging with print statements. Langfuse and Weights & Biases cover adjacent ground but neither is purpose-built for interactive agent iteration in the way this proposes. Revenue band is unknown, which is the honest answer here — the buyer could be an enterprise ML team with budget or a solo researcher with none, and that ambiguity makes pricing and GTM genuinely hard to figure out before building. The deepest risk is that agent frameworks are consolidating fast and the major players (LangSmith from LangChain, Microsoft's AutoGen Studio) are building exactly this kind of debugging interface into their own products, which could make a standalone tool redundant before it finds distribution.