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Separating the Idea, State, and Artifact Planes in Agent Pipelines

The agent worked. The architecture didn't. This failure mode won't show up in your eval suite. An AI architect builds a personal automation pipeline: an agent scouts trending content, pipes ideas into a chat thread, he reacts, things get logged. The agent did its job. It found the trends, wrote them down, and responded when he asked it to. He killed it anyway, and not over hallucination or token…

The AI architect constructed an automated pipeline featuring three distinct components: an intake plane, a state plane, and an artifact plane. Each of these planes focuses on a different aspect of the agent's functionality.

The first plane, called "Idea/Intake," is an append-only Google Sheet where the agent generates ideas based on trending content it has identified. This plane allows for high-volume, low-precision input and is operated by the agent without human intervention. The second plane, "State/Pipeline," utilizes a Notion database to manage the workflow status of each idea.

The agent works with human instructions to move ideas through various stages, such as scripting, filming, and publishing. This plane is designed to provide precise querying and tracking of the workflow status.

Lastly, the "Artifact" plane contains all the final media artifacts, like Google Docs and rendered images. These are linked from the state plane, ensuring that the agent's output is organized and easily accessible. By separating these concerns, the pipeline eliminates the issues associated with a flat scroll of messages and provides a clear, structured system for managing the agent's tasks.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

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