
I tried turning Meta’s Muse AI into my personal shopper — only 3 of 7 prompts actually worked
A tech journalist tested Meta's Muse AI assistant to see if it could effectively find deals on comic books, controllers, and games. Out of seven recommended shopping prompts, only three successfully produced reliable results for the user. The successful methods included baseline deal hunting, cross-store price comparison, and searching for open-box or refurbished items.
- ▪Meta's Muse AI assistant has recently surpassed ChatGPT in popularity on the Apple App Store with half a million downloads.
- ▪The tester found that prompts for coupon sweeps, max budget searches, local marketplace deals, and price-drop tracking failed to yield trustworthy results.
- ▪Effective prompts for Muse included finding deals below typical prices, comparing prices across major retailers, and locating used or refurbished products.
- ▪The article suggests that providing specific details such as exact models, sizes, and budgets improves the quality of deals surfaced by the AI.
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Record
| Original publisher | Tom's Guide |
| Canonical URL | https://www.tomsguide.com/ai/i-tried-turning-metas-muse-ai-into-my-personal-shopper-only-3-of-7-prompts-actually-worked |
| Publication time | Sat, 26 Sep 2026 05:30:00 +0000 |
| Retrieval time | 2026-09-26T05:35:59.711Z |
| Last seen | 2026-09-26T05:35:59.711Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | SWNfI68UyTgZ · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
AI I tried turning Meta’s Muse AI into my personal shopper — only 3 of 7 prompts actually worked Features By Elton Jones Published 26 September 2026 Putting Meta’s AI assistant through the ultimate shopping tests When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Shutterstock) Copy link Facebook X Reddit Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter Imagine my surprise when I did my daily morning news search on Google and came across a bunch of reports touting Meta’s AI agent Muse gaining in popularity.Not only has it surpassed ChatGPT on the charts in Apple’s App Store, but it’s also racked up half a million downloads.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Tom's Guide.