If AI makes the same mistake repeatedly in the same project, the problem is usually not just the model. The task contract may be unclear. The context package may miss a source file. Stop conditions may be absent. Tests may not cover the behavior. The evidence gate may be too weak. Project rules may exist only in chat. The final layer of a project-specific AI delivery pipeline is feedback and knowledge capture. Do not only correct AI in chat Many people tell the agent, "do not do that next time." That is almost no process improvement. The next session, tool, model, or project directory may not carry that lesson. Even if the model remembers, it may not know which project, scenario, or file scope the lesson belongs to. Real project memory should enter project mechanisms. Classify the failure first After a failure, do not immediately add another rule. Classify the failure.…