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How to run the Deep Research example to produce an HTML report with Deer Workflow

Clone the repo and run a bundled example that researches angles in parallel and builds a report.

Who it is forA researcher or analyst who wants to see a finished multi-agent research workflow before writing their own.

The problemIt is hard to judge what a workflow runtime can do without seeing a complete example that runs end to end.

The outcomeAn interactive HTML report produced by a workflow that discovers angles, investigates them in parallel, and verifies claims.

What you need first

  • Bun installed (https://bun.sh)
  • Codex CLI installed and signed in, since Codex is the default Agent runtime
  • A terminal on macOS, Linux, or Windows with Bun support
  • Git, if you plan to clone the repository for examples or development

Steps

  1. Clone the repository with git clone https://github.com/deerwork-ai/deer-workflow.git.
  2. Change into the folder with cd deer-workflow and install dependencies with bun install.
  3. Open examples/deep-research/README.md and follow its documented commands.
  4. Watch the phases in the live TUI while the example runs.
  5. Open the generated HTML report and check its claims against the sources the run used.

Prompt for your agent

Using the deer-workflow repository (deerwork-ai/deer-workflow), follow examples/deep-research/README.md to run the Deep Research example on the topic <target topic>. Expected output: an interactive HTML report. Verify that the report includes the claims verification step described in the example README.

Caveat. The README says the examples need the repository cloned or downloaded first, so the example commands are not available from the npm package alone.

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