---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/similar-movies/use-cases/blend-several-favorite-movies-into-one-shortlist
---
# Blend Several Favorite Movies Into One Shortlist

A lot of recommendation questions are really blend questions. The brief is not “movies like Zodiac” by itself. It is “something with the investigation quality of Zodiac and the polished suspense of Gone Girl.” Most tools do not handle that well because they only know how to pivot from one title at a time.

The `blend_taste` skill solves that by merging candidate pools from several resolved seed movies, deduping them, and boosting the titles that recur across more than one seed. The result is a shortlist that feels intentionally mixed rather than randomly adjacent. That makes it useful for shared movie-night decisions, editorial programming, and agents that need to transform vague taste descriptions into a ranked set of actual titles.

**Tool:** [Similar Movies](https://toolrouter.com/tools/similar-movies)
**Skills:** blend_taste

## Agent Guides

- [How to Blend Movie Taste with Claude](https://toolrouter.com/tools/similar-movies/use-cases/blend-several-favorite-movies-into-one-shortlist/claude): Guide for Claude
- [How to Blend Movie Taste with ChatGPT](https://toolrouter.com/tools/similar-movies/use-cases/blend-several-favorite-movies-into-one-shortlist/chatgpt): Guide for ChatGPT
- [How to Blend Movie Taste with Copilot](https://toolrouter.com/tools/similar-movies/use-cases/blend-several-favorite-movies-into-one-shortlist/copilot): Guide for Copilot
- [How to Blend Movie Taste with OpenClaw](https://toolrouter.com/tools/similar-movies/use-cases/blend-several-favorite-movies-into-one-shortlist/openclaw): Guide for OpenClaw
