Multi-Agent Research and Processing
Coordinate specialized agents to collect information, analyze findings, and produce structured business outputs.
The problem
Research and document-heavy work needs multiple skills at once: collecting sources, extracting facts, checking quality, and writing up results. A single prompt cannot carry that whole chain reliably.
How it runs today
Analysts juggle browser tabs, spreadsheets, and chat windows, then assemble findings by hand. Results vary from person to person and run to run.
With Heym
A lead agent delegates to named specialist sub-agents and sub-workflows, each with its own tools and instructions. Independent branches run in parallel, outputs are structured, and evals or a review step check quality before the report ships.
The workflow, end to end
The Market Research Agent Team template is an importable starting point: a coordinator delegates to specialist research agents and assembles their findings into one structured report.
Where control lives
Structured outputs, evaluation steps, cost and latency tracking, and traces that show what every agent, model, and tool did.
Repeatable research and processing pipelines that produce consistent, structured deliverables instead of one-off documents.
Built with these Heym capabilities
Common applications
Deployment and integration
- Self-host with Docker or Kubernetes, keeping data on your infrastructure.
- Connect your own model providers: OpenAI, Ollama, vLLM, and more.
- Integrate over HTTP, webhooks, Slack, email, and MCP tools.
- Expose finished workflows as APIs, portals, or MCP servers.
Have a process that fits this pattern?
Show us the workflow, data sources, tools, and human decisions involved. We will help map it to Heym.