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Multi-agent teams, explained

Good content isn’t made by one prompt. It’s made by a researcher, a writer, an editor, an SEO specialist, and a brand reviewer. Multi-agent teams mirror that division of labor.

Shared memory, distinct roles

Agents share a common context but specialize: each is prompted, tooled, and evaluated for its part of the job.

Hand-offs with checkpoints

Work passes between agents with human approval where it matters, so quality compounds instead of degrading.

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Draft & Goal

Agentic marketing platform

Draft & Goal builds the multi-agent orchestration platform for enterprise marketing — many specialized, governed AI agents running SEO, content, and analytics in production for teams like TotalEnergies, Decathlon, and La Poste.

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