Jettro Coenradie·Oct 19Exploring decision models with Pydantic AIDecision models are useful when your application needs to make a specific judgement: is this request harmful, what kind of support message…
Jettro Coenradie·Sep 16Your agent’s answer passed. Did your application?My agent team knew that Yuma was formed from six companies. Ask it to name them, and it could only find four. Where had the other two…
Jettro Coenradie·Sep 10Run agent teams as a service with Akgents ~ akgentic-infraIn the previous article, I moved the case-handling team’s configuration into a catalog. Models, prompts, tools, agents, and the team itself…
Jettro Coenradie·Sep 5Configure agent teams with Akgents ~ akgentic-catalogIn the previous article, I brought the Akgents modules together in one case-handling workflow. Five agents form a team. Two use an LLM, two…
Jettro Coenradie·Sep 4Build an LLM-powered workflow with Akgents ~ akgentic-agentI started this series with actors and typed messages. I then added durable teams, stepped aside to look at Pydantic AI, wrapped model calls…
Jettro Coenradie·Sep 1Build reusable agent tools with Akgents ~ akgentic-toolIn the previous episode, I gave the case-handling application a brain. akgentic-llm wrapped Pydantic AI in a provider-neutral ReactAgent…
Jettro Coenradie·Aug 31Build ReAct agents with Akgents ~ akgentic-llmThe first two articles in this series stayed inside Akgents. I started with the actor-based core and then made the team durable with…
Jettro Coenradie·Aug 25Understanding Pydantic AI through a case-handling agentThe first two articles in this series explored Akgents itself: first the actor-based core, then the team layer that makes those actors…
Jettro Coenradie·Aug 19Build durable agent teams with Akgents ~ akgentic-teamFrom an actor tree to a managed team
