Multi-agent pipelines beat orchestrators — here's the pattern that actually works

Everyone's building multi-agent systems wrong. They're adding orchestrators and supervisors and message buses, turning simple workflows into distributed system nightmares.

The real pattern isn't orchestration — it's pipelines. Chain your agents like Unix commands, not like microservices.

Here's what I mean. Instead of this orchestrator mess:

supervisor_agent:
  manages: [research_agent, writer_agent, editor_agent]
  coordinates: message_passing
  handles: failures, retries, state_management
  complexity: nightmare

Do this pipeline:

research_agent | writer_agent | editor_agent > final_output

Each agent takes input, does one thing well, and passes clean output to the next. No coordination layer. No message passing. No distributed state to manage.

The key insight: Make each agent stateless and self-contained. It gets everything it needs in its input, does its job, and outputs everything the next agent needs.

Here's how I structure pipeline agents:

# Research Agent Output
{
  "task": "Write blog post about AI agents",
  "research_findings": [...],
  "key_points": [...],
  "target_audience": "developers",
  "tone": "practical"
}

# Writer Agent takes this whole object, adds:
{
  "draft_content": "...",
  "word_count": 847,
  "sections": [...]
  # Plus all the research data
}

# Editor Agent gets everything, outputs final

Each handoff is complete. No agent needs to ask another agent for missing context. No supervisor needs to manage state.

Warning: This only works if you design clean interfaces between agents. Garbage in, garbage out — but at pipeline scale.

The pipeline pattern wins because:

• Debuggable — You can inspect output at every stage
• Testable — Each agent can be tested in isolation
• Recoverable — Failures are local, not systemic
• Scalable — Add agents by extending the pipeline

I run pipelines like this in production:

content_research | outline_generator | section_writer | fact_checker | publisher

Five agents, zero orchestration complexity. Each one gets a complete work package, does its job, passes a complete work package forward.

The magic happens in the interface design. Each agent needs to understand what the next agent expects. Spend time on these handoff formats — they're your API contracts.

Most people overcomplicate multi-agent systems because they think in terms of coordination. Think in terms of transformation instead. Each agent transforms the work package and passes it along.

Your agents don't need to talk to each other. They need to hand off clean, complete work.