---
title: ToolRouter — Agent Use Case Guide
description: Step-by-step guide for completing a task with a specific AI agent using ToolRouter.
url: https://toolrouter.com/tools/similar-movies/use-cases/plan-a-movie-marathon/openclaw
---
# How to Plan a Movie Marathon with OpenClaw

OpenClaw is ideal when the same marathon-planning pattern needs to repeat across many different theme nights. Use `blend_taste` to keep the schema consistent across runs.

## Setup

openclaw mcp add toolrouter -- npx -y toolrouter-mcp

## Steps

1. Connect ToolRouter in OpenClaw: openclaw mcp add toolrouter -- npx -y toolrouter-mcp
2. Define the anchor films, exclusion list, and output size before running.
3. Run `similar-movies.blend_taste` and normalize the matched-seed and score fields.
4. Store the output for comparison or reuse across different theme nights.
5. Rerun with a fresh seed set whenever a new marathon theme is needed.

## Example Prompt

```
Use similar-movies to blend Heat, Collateral, and Drive into a normalized marathon lineup. Keep the matched-seed metadata so I can compare this lineup against other theme nights.
```

## Tips

- Normalize output fields across runs to compare different marathon themes.
- Keep the blend to two to three seeds to maintain a coherent theme.
- Use the matched-seed count as a confidence signal for each marathon pick.
