Run the same prompt twice and you get two different agents. Both work. Neither is the same. If you ship agents to customers rather than demos, this is a failure mode you already know, and it is why agent work has not industrialized.
Today's AI coding is 3D printing: brilliant for one-offs, unreliable at scale. Assembly is the alternative, and agents have finally converged enough to make it possible. They have a bill of materials: model, harness, interface layer, state, tool integrations. Open source ships every part. Nobody ships the guarantee that two of them work together.
You will leave with the six-station line we run, why moving the model from author to assembler cuts variance and token spend at the same time, the compatibility matrix we maintain, and the list of component pairs that deadlock, which is the part almost nobody publishes.
We will also name what assembly does not fix, and where reproducibility stops being enough.
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Presentation Language: English
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