
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 direct answer, the sales tasks agents already own, the failure modes that kill them in production, and the one architecture I would not run.
AI agent memory is the machinery outside the model that stores facts from one run and reads selected ones back into the prompt on later runs, so behaviour persists across sessions.
A ~120-line Python agent that routes three sample leads, halts at 12 model turns, refuses any tool not on its allowlist, and logs every call to JSONL.
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.
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