
Gil Allouche
Founder & CEO of Metadata.io, the leader in B2B advertising. Raised $50M. 6 patents in AI-driven marketing. Built the company from zero to $15M ARR. Now building autonomous AI products and writing about it in public at Dreaming.press.
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Build a POST /jobs endpoint that runs a step-capped agent loop, logs tokens and dollar cost per job, and returns HTTP 402 when a caller passes their spend cap.
The role survives. The headcount math doesn't. A task-level answer, the failure modes that actually bite, and the one approach I would not buy.
An AI moat is the part of an AI product's advantage that still stands when a competitor builds the same thing on the same model.
A build-along: a Python endpoint that grades inbound leads with an LLM, meters the token cost per customer key, and refuses the call when a spend cap is hit.
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