AI Agent Architecture: Models, Memory, Tools, State and ControlLearn the components of a production AI agent and where reasoning, memory, state, tools and approval should live.
AI Coordinator Architecture: Preserve Process SovereigntyThe coordinator owns the run lifecycle and accepted transitions, allowing organizations to use probabilistic models without surrendering process control.
From AMR to Execution Graphs for Agentic WorkflowsAMR captures who did what to whom; execution graphs define state, permitted transitions, tools and validation for agentic workflows.
Agentic Workflows vs. Production PipelinesChoose between deterministic pipelines, coded AI workflows and dynamic agents with a practical production architecture framework.