AI Agent Context Packet: Give Agents the Right Inputs Without Blowing the Budget (opens in new tab)

Most agent failures do not start with a bad model. They start with a messy handoff. The agent receives a long prompt, ten tools, stale memory, five documents, a vague goal, and no clear success test. Then everyone acts surprised when it burns tokens, misses the point, or returns an answer that sounds useful but cannot be trusted. A better pattern is to stop dumping context into the model and start packaging it. That package is an AI agent context packet: a small, structured bundle of task int...