Creative & StyleUser claimed completionFinding fresh music recommendations

Discover music via taste-learning chat

Streamline continuous track discovery based on evolving likes.

EXPECTED DELIVERABLE

A dedicated side chat continuously proposing tailored recommendations.

WHAT THE USER REPORTEDby kottley🦬 (@kottley)

"The user recommends Muse's Music Discovery Side Chat: tell Muse your music tastes or connect a Spotify account, and the agent keeps recommending new music while learning your likes and dislikes."

Before you start

REQUIRED MATERIALS

The user's music tastes, or a connected Spotify account.

SERVICES & ACCOUNTS

Spotify (optional) or Muse chat

CONNECTION METHOD

Spotify account link or chat dialogue

Review authorization prompts carefully before connecting.

SECURITY & CONDITIONS

Review generated values, dates, or messages before executing binding transactions or payments.

How to do it

STEP 1

Prepare Required Data

Gather materials: The user's music tastes, or a connected Spotify account.

STEP 2

Review Instructions & Fill Placeholders

Copy the prompt template below, substituting bracketed text like [date range] or [account details] with your real information.

STEP 3

Submit Prompt to Muse

Paste into your Muse session. Watch for required tool authorizations or review prompts.

STEP 4

Verify Output & Human Approval

Compare generated figures, dates, or communication drafts against your original records before taking binding actions.

Try this prompt

Suggested prompt · Not tested by AgenScope

This prompt is transcribed from the community use-case report. Replace bracketed placeholders like [details] with your actual data before submitting.

READY-TO-USE PROMPT

Set up a music discovery side chat for me. My tastes: [favorite genres, artists, and a few songs I love]. Alternatively, connect to my Spotify account ([username]) and base recommendations on my listening history. Recommend [number] new songs or artists per session, and after each recommendation ask whether I liked it so you can learn my preferences over time. Keep a running record of my likes and dislikes and refine future recommendations from it. Send me new recommendations [daily / weekly / whenever I ask].

Check the result

Before relying on the output or confirming irreversible actions, run these targeted verification checks:

✓Confirm numerical values (prices, refund amounts, line items) match source documents.

✓Check that date ranges and time zone conversions align properly.

✓Ensure outbound messages or authorization forms do not contain hallucinated facts.

If it doesn’t work

KNOWN LIMITATION

If third-party service connections fail or require permissions, inspect your account tokens.

Check Connections & permissions guide →

KNOWN LIMITATION

If large context blocks cause partial truncation, break input into smaller batches.

Review token caps in Access & limits →

Sources & updates

SOURCE TYPE:Community post on X by kottley🦬 (@kottley)

EXECUTION STATUS:User claimed completion

PROMPT PROVENANCE:Suggested prompt · Not tested by AgenScope

ORIGINAL POST:https://x.com/kottley/status/2098541256221536622 ↗

POST DATE:2026-09-11

EDITORIAL REVIEW:September 2025

TESTING STATUS:Community observation · Unverified in AgenScope sandbox