These guides are about building software around language models: AI agents that call tools, the MCP servers that provide those tools, and everything needed to run them in production. Each one explains a concept and then shows runnable Python code using Promptise Foundry, an open-source agent framework, though the ideas carry over to other frameworks.
Topics run from a first agent and connecting MCP servers, through memory, retrieval, reasoning patterns and multi-agent systems, to guardrails, human approval, observability, evals, cost control and deployment. Beginner guides assume you know Python but not agents. For a guided route, the topic hubs put related guides in reading order.
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