
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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The model is a commodity input. The business is the control plane around it — caps, verification, state, metering — and here is what that costs and where it breaks.
Agentic state is the data an agent carries between steps — goal, message history, tool results, progress markers — stored outside the model so a run can resume, be audited, or be capped.
A build-along: a POST /run endpoint that extracts a lead with Claude, logs the token cost of every run, and refuses to spend past $0.25 or 6 model calls.
Which layers of an agent stack you can really run yourself, what each project's license permits, and the approaches I would not use.
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