More agents does not mean greater reliability

The main trap is confusing activity with progress. Just because five agents produce many pages of text does not mean they have solved the problem better. Sometimes they have only multiplied the opportunities for a mistaken assumption to travel from one node to the next until it becomes a very convincing and completely false conclusion. That is why good graphs are not designed to make the model do everything. They are designed to establish when the model must not proceed. An agent can propose an answer, but a deterministic rule can check whether it included a required source. It can suggest a code change, but a test suite must decide whether that change passes or fails. It can classify a request, but an irreversible action, such as a payment, publishing content, or deleting data, should require strict limits and, often, human approval.

Full episode: https://youtu.be/6fZ_yLcE2F4

🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.

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