agent-orchestration

Multi-agent workflows coordinate specialist agents and humans by mapping ordered pipeline stages with designated owners, defining quality gates between steps, and supporting human-in-the-loop reviews at critical decision points.

Managing handoffs in a staged research pipeline requires creating and transmitting handoff packets at every transition, ensuring clear ownership and seamless knowledge transfer between specialist agents and human reviewers.

Workflow governance logging records pipeline runs to enable replay, learning, and auditability, capturing every stage transition, gate evaluation, and handoff packet transmission across the orchestrated workflow.

Yes, you can define gates between pipeline steps to ensure quality before progression, requiring specific conditions to be met before the workflow advances to the next designated owner or agent.

Yes, you need to define pipeline stages with assigned owners, set gate conditions between transitions, and establish handoff protocols before running the orchestration to produce a replayable, auditable workflow.

A shared runtime may not suit scenarios lacking clear stage boundaries or ownership models, as this approach requires defined ordered stages, explicit gate conditions, and structured handoff packets to function effectively.