How TLA+ Can Help Build Reliable AI Agentic Systems
4 minute read Published: 2026-03-24When we move from building chatbots to building agents—systems that can call tools and perform actions—we move from the domain of language modeling into the domain of stateful systems.
In a simple chat interface, a model's mistake is usually a semantic one: it gives a wrong answer or hallucinates a fact. But when an agent has the authority to issue a refund, move a file, or trigger a deployment, a mistake can become an operational failure.
Often, these failures are not caused by the model's reasoning, but by how we have designed the system around it.