Search Results for "model train design"

...It acts as an agent manager where you can define tasks, contexts, and tool integrations so that AI reasoning is reliably connected to deterministic procedures like API calls, data retrieval, and task execution. Jesse emphasizes structured outputs, safety boundaries, and explainable reasoning, helping users design agents that don’t just hallucinate responses but can coordinate steps, validate conditions, and interact with systems predictably. It also includes built-in support for evaluation, logging, and orchestration so developers can monitor, test, and improve agent behavior over time. Because it’s framework-agnostic with respect to model providers, Jesse can work with different LLM backends, giving teams flexibility in cost and capability trade-offs.