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Analyze taste patterns and recommend media

The agent identifies specific taste patterns from the user's high-rated items and suggests new media that aligns with those preferences, grounded in the user's actual library history.

How it works

Read-onlyResearch and knowledge

The agent first connects to the Achriom MCP server via OAuth. It then calls get_by_rating to retrieve items rated five stars. It analyzes these results to identify common themes, genres, or moods. Based on this analysis, it uses search_library to find new items that match the identified patterns. The agent ensures all recommendations are grounded in the tool results and does not invent items the user does not own or like.

Prompt

Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.

Prompt for Analyze taste patterns and recommend media
Connect to my Achriom library. Find the pattern in everything I've rated five stars. What does my taste actually want? Then suggest one new item that fits this pattern.

MCP servers it needs

Source

The vendor page this playbook is drawn from, and the passage that supports it.

"Find the pattern in everything I've rated five stars. What does my taste actually want?"
Achriom MCP: Connect Claude, ChatGPT & Any AI

Each playbook is drawn from the vendor page it cites and reviewed by Koskamo before it is published. Koskamo does not run these servers or your agent: check what each tool will do before you let it act on your accounts.

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