Multi-Agent Systems That Actually Ship

Multi-agent sounds exciting until you have to debug it.

One agent fails because another agent wrote a vague summary. A third agent acts on stale context. The logs say everything succeeded, but the final answer is wrong.

That is the risk.

Multi-agent systems work when agents have clear jobs and boring handoffs.

Do not split by personality#

Do not make agents because the names sound cool.

Bad split:

• Visionary Agent
• Strategist Agent
• Genius Agent
• Critic Agent

Useful split:

• Intake Router
• Context Scout
• Planner
• Policy Auditor
• Action Executor
• Verifier

Split by responsibility, not personality.

Each agent needs a contract#

For every agent, define:

• Input
• Output
• Tools
• Model route
• Stop condition
• Escalation policy
• Owner

If you cannot write the contract, the agent probably should not exist.

Keep handoffs small#

Agents should not pass giant transcripts to each other.

Pass structured handoffs:

request_type:
priority:
sources:
facts:
unknowns:
recommended_next_step:
risk_level:

This makes downstream work easier and evals possible.

Use one orchestrator at first#

Swarm systems are interesting. They are also hard to reason about.

For most products, start with an orchestrator:

• It decides which agent runs next.
• It owns workflow state.
• It records tool calls.
• It handles retries.
• It decides when to ask for approval.

You can add more autonomy later. Start with something your team can debug.

Evals per agent#

Do not only test the final output.

Test each agent:

• Did Intake route correctly?
• Did Context Scout find the right sources?
• Did Planner separate facts from guesses?
• Did Policy Auditor catch unsafe actions?
• Did Verifier confirm the final state?

This is how you find the weak link.

Build it in Codelit#

Try this:

Build a multi-agent workflow for engineering operations with an Intake Router, Context Scout, Planner, Policy Auditor, Action Executor, and Verifier. Include contracts, tools, model routes, handoffs, evals, and production architecture.

Design a multi-agent workflow

Multi-agent is not about more agents. It is about cleaner responsibility.