Originally published on AI Tech Connect.
The prototype-to-production gap most teams hit in week one Every team that picks up the Claude Agent SDK starts the same way. The quick-start runs in a notebook, a model picks tools, a task completes in eight turns, and the room agrees the agent is shipping next sprint. Then it goes near a real workload and the wheels come off in week one. The pattern is consistent. A Bangalore-based startup wires the SDK into a customer-support flow and watches a single ambiguous ticket spin the agent into a 240-turn loop that burns through the month's API budget by Wednesday. A London fintech connects the same SDK to a research workflow and discovers the agent has shell-access scopes it should never have seen, because the prototype handed every tool to every session. A Mumbai analytics team ships the…
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