Orchestrator → Research & Writer Agents
Orchestrator agent delegates to a Research sub-agent and a Writer sub-agent, then surfaces a polished draft for newsletters, blog posts, or digests.
The full canvas, before you import it
Click any node to see its config.
Click a node to select it — same as the Heym editor; the panel shows its settings.
5 nodes · Free & source-available
Orchestrator → Research & Writer Agents
A classic orchestrator + sub-agent pattern: an Orchestrator Agent receives the topic, delegates to two specialised sub-agents — ResearchAgent extracts facts and WriterAgent produces publish-ready prose — and an Output node surfaces the final draft.
What this workflow does
- Input sets the topic or pasted article URL context
- Orchestrator (Agent) reads the topic, calls the Research sub-agent with a focused retrieval prompt
- ResearchAgent (Agent) returns 5 concise bullet facts in neutral tone
- WriterAgent (Agent) rewrites bullets into an engaging 120–180 word newsletter paragraph
- Output surfaces the draft text
Use cases
- Weekly team digests and newsletters
- Turning long threads into LinkedIn or blog posts
- Teaching the orchestrator + sub-agent pattern before adding tool calls
Setup
Add an OpenAI (or compatible) credential and attach it to all three Agent nodes. Tune temperature: 0.2 for Orchestrator and ResearchAgent, 0.7 for WriterAgent.
Architecture note
Each Agent node runs its own system prompt and sees only the outputs explicitly passed to it via edges. The Orchestrator does not share context with sub-agents automatically — wire the edges to control data flow.
How to import this template
- 1Click Import → Copy JSON on this page.
- 2Open your Heym and navigate to a workflow canvas.
- 3PressCmd+V/Ctrl+V— nodes appear instantly.
- 4Add your API keys in the node config panels and click Run.
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