Multi-agent workflows without code
You don't need to code to create an AI pipeline. With 3 chained prompts, you can build a mini system that works by itself.
What is a multi-agent workflow
Think of it as a production line. Instead of one AI doing everything at once, you split it across "agents" — each with one job. One researches, another writes, another reviews.
You don't need any special tool. Just chain prompts together — the output of one becomes the input for the next.
Example: write an article with 3 agents
Agent 1 — Researcher
"List 5 key points about [topic]. For each point, include one concrete data point or example."
Agent 2 — Writer
"Based on these 5 points [paste agent 1 output], write a 500-word article. Accessible tone, for non-experts."
Agent 3 — Editor
"Proofread this article [paste agent 2 output]. Fix grammar, improve clarity, and suggest a better title."
Each agent does ONE thing. The final result is far better than a single prompt asking "write an article."
Other pipelines that work
- Project plan: Agent 1 lists risks → Agent 2 suggests actions → Agent 3 builds a timeline
- Presentation: Agent 1 extracts key points → Agent 2 creates slides → Agent 3 reviews tone and flow
- Decision: Agent 1 lists options → Agent 2 compares criteria → Agent 3 recommends with reasoning
The rule to keep it simple
Start with 2 agents. Only add a third when your 2-agent flow runs smoothly. The most common mistake is trying to build 5 agents at once and getting lost in the middle.
Multi-agent workflows are the Ladder Rule taken to the next level: each rung becomes a specialized agent.
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