Insights
What integrators don't tell you about AI agents
The failure that shows up in a prompt or a tool call usually started in the engine. These insights are the layer a COO has to own: the objective, the harness, and the world the agent thinks it is in.
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What Building Five RL-Based Agent Engines Taught Me About Why AI Agents Fail
Many failures that look like prompt, model, or integration problems start in the objective, the unobservable state, and the reward. By the time an integrator sees them, the product layer may not be able to repair them.
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