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Loading.Because the demo skips everything production needs. A pilot proves capability on a clean, hand-picked case; production is the messy distribution and the operating model around it. Teams stall trying to cross that gap with the same tool, hit the ceiling of prompting in the editor, and conclude the hype was overblown. The hype was wrong about the ease, not the ceiling. Crossing it is ordinary engineering: context, orchestration, observability, and devs who operate agents.
The demo case is clean and chosen; production is the long tail you didn't sample. A pilot that dazzles on three prompts tells you the model is capable, not that the system is reliable on the thousand cases nobody curated.
Teams stall because the next step looks like more of the same and isn't. They push harder on copilot, hit the ceiling of what editor-prompting can do, and mistake that ceiling for the limit of AI. It's the limit of that operating model, not the technology.
The unglamorous layers: durable context, orchestration so a fleet doesn't collide, observability so you run on evidence, and developers trained to operate. None come in a license. It's buildable, repeatable engineering — which is the good news.
or have us build it — same capability, the other door