multi-agent-pipeline

You can automate an end-to-end product development pipeline by orchestrating specialized AI agents across discovery, research, design, build, launch, and growth phases. The workflow coordinates these agents to generate artifacts from ideation to deployment.

The pipeline manages multi-stage product initiatives by using phase-specific agent roles and gated reviews to ensure quality before progression. It segments discovery, research, product management, UX/UI design, architecture, development, DevOps, documentation, and launch.

Yes, you can use review gates to ensure quality control before progression across multiple disciplines. The pipeline implements checkpointed problem-solving to ensure reliability and safety during end-to-end product orchestration.

No, the multi-agent pipeline enforces strict no-file I/O in subagents. Subagents return content for parent I/O handling, enabling safe and scalable coordination while generating artifacts.

You initiate the full pipeline with a product idea to produce validated briefs, PRDs, designs, architecture, and deployment artifacts. This triggers the phase-based workflow to orchestrate specialized agents from ideation to deployment.