1093 musecases built with Meta Muse

@McClipFace

@McClipFace

Your AI, now a savvy shopper. Paste one prompt and Muse adds Clippy, which finds coupon codes automatically whenever Muse shops for you.

Vijay Umapathy

@vijayumapathy

Used @Muse to help browse and book visits for daycares nearby. It booked one visit online and said I need to call the other one. It found me bland.ai, I gave it a key, and it phoned and scheduled the other. Nailed the logistics talking to a human on the other end!

@LucasDuys

@LucasDuys

sol-loop pairs a GPT planner on a Codex subscription with Muse Spark in opencode as executor, which returns evidence and diffs for each atomic spec; the author says over 99% of tokens run on Muse.

Bob Troia

@BobTroia

I tasked my @Muse agent with searching every state's unclaimed property database for any money owed to me. Not only did it locate and submit the claims, but it also found some money sitting in an old employer's 401(k) from 1999!

LM Studio

@lmstudio

Muse Glimmer 30B is live in LM Studio! It's a new open source model from Meta. Apache 2.0 license, fit right on your laptop. It is the strongest model of its size class we've tested.

@nisten

@nisten

A single static HTML page that renders every weight tensor of Muse Glimmer 30B in 3D, sized by bits on disk, with educational notes on each layer.

james

@ads4apps

Having @Muse find the best offer to sell my Model X. Then it’s finding a lightly used new version of the same car

xCreate runs a Q9 MLX build of Muse Glimmer against Qwen 3.6 on a 512 GiB M3 Ultra using the Inferencer app.

@sureshsankaran

@sureshsankaran

Read-only browser-based Muse connector that signs into SoFi and reads Active Invest positions including average cost and cost basis, which Plaid does not expose.

Rachana

@rachanananana

started using Muse to stay on top of wedding planning because the email, gdrive, and whatsapp integrations are so *good* and its proactive and feels like a good lil assistant also its cute hehe catching things, reminding me, following up on things I forgot etc

I've been working on clinical speaker attribution at Omi and wanted to compare the current diarization models on the same audio. I used 15 mock doctor–patient consultations from PriMock57, about 2.4 hours. Full recordings, automatic speaker counts, without telling the models there are two people. Batch Diarization error rate (DER), with ±250 ms boundary tolerance. Lower is better. Model DER Median processing time Pyannote Precision-3 2.891% 18.9 s / recording (API) Nemotron 3 4.803% 0.688 s / recording Pyannote Community-1 6.620% 18.691 s / recording Sortformer v1 6.778% 3.869 s / recording Sortformer v2.1 7.974% 1.077 s / recording VibeVoice-ASR 8.233% 123 s / recording Meta Muse Voice Transcribe † 13.042% 92 s / request (API) Local models ran on one NVIDIA L4. API times include round-trip overhead; VibeVoice-ASR also performs transcription. † Muse used 20 separate clips because of its 10-minute request limit, so its result isn't a whole-recording comparison. Pyannote Precision-3 had the lowest error. Nemotron came next and was the fastest local model. Streaming Model DER Pyannote live API 3.959% Nemotron 3 † 4.971% Sortformer v2.1 † 6.958% VibeVo

Little less smart than Qwen, but way fewer tokens per task.

Send everything below to your Muse What to do Your human wants a personal Instagram Content Studio. Read this entire file, then follow every step below in order and build it for them. Don't skip steps, don't improvise the structure — the steps are the product. What you're building for them: Data — profile snapshots, trend digests, and idea files under ~/workspace/content-studio/data/. Dashboard — a web artifact where the user browses ideas and tracks filming status. Refresh cron — a weekly run that pulls a new snapshot, researches trends, and generates 5–8 new ideas. Workflow 1. Connect + analyze (do this first — derive, don't ask) • Verify Instagram is connected (instagram-cli accounts). If not, get the connect URL and have the user link it before continuing. This is the only hard requirement. • Pull instagram-cli posts --account-id <id> --limit 100, dedupe by post_id. • Save to ~/workspace/content-studio/data/profile-posts-<YYYYMMDD>.json with schema: generated, username, follower_count, post_count, posts[] (each: post_id, likes, comments, media_type, created_at, url). • Derive from the data, don't interview for it: • Content categories (3–5): cluster their actual posts in

Trapit Bansal

@TrapitBansal

We entered Meta models in five international STEM Olympiads, as an uncontaminated eval of their reasoning capabilities. Three of these were live participations and graded officially. The models achieved gold-medal results in all five! 1/5

@mitchallen

@mitchallen

A Makefile that downloads the three Muse Glimmer 30B GGUFs and builds and serves llama.cpp on Apple Silicon, automating a scriptable.com walkthrough.

@GordonWei

@GordonWei

An OpenAI-compatible /v1/chat/completions server that runs Muse Glimmer on Apple Silicon through mlx_vlm while LM Studio's bundled MLX runtime can't yet load the architecture.

abstractextraordinary.com

abstractextraordinary.com

Abstract Extraordinary digs into the architecture behind Meta's pitch of an autonomous, multimodal agent that runs on-device with no cloud.

Anyone using Muse an orchestrator for fleets of coding agents? I’ve found it surprisingly effective and it’s convenient to be able to do so on the go from my phone. Plus Muse can instantly serve your web app for quick testing. it’s actually been pretty fun.

zerohedge

@zerohedge

Here we go again... from Goldman: Most talked about theme on our desk today was the impact of Agentic AI post Meta Muse and the shorting of “Consumer Inertia" names. Our basket, GSXUSWCH (-2.58% today), which has been one of our most actively traded baskets in recent sessions,

Disong

@Dis0ng

I'm more of a "casual user", but today I asked Muse to browse for the best deals on an iPhone 17e while I worked on something more pressing. It let me know when it finished, made a widget in our chat showing each promo, and told me which carriers it recommended. Neat!

Sidhdharth (Sid)

@sidhdharth

I asked @Muse to find be demo slots in the Bay Area and it found me 2 already, aiming for 10. Pretty useful for founders. writing a guide soon....

@Telep-IO

@Telep-IO

Next.js catalog site (muse.telep.io) and API gateway (api.muse.telep.io) that hosts Telep IO's independent Muse connectors as separate modules behind one deploy.

lemuralabs

lemuralabs

Lightweight LoRA that makes Muse Glimmer 30B output a target element's bounding box directly from a screenshot and instruction, for computer-use agents.

@MiaAI-Lab

@MiaAI-Lab

A one-script vLLM setup that serves the roughly 19 GB NVFP4 Muse Glimmer 30B with its vision encoder kept, DFlash speculative decoding using the official drafter head, and up to 256K context on GB10, RTX 5090 or RTX PRO 6000.

brett goldstein

@thatguybg

first thing I built with Muse was tinder for unfollowing people on instagram. took 2 min. the native ig integration is sooooo useful

Mermail

@Mermailapp

🫡 we are here mermail.app/blog/give-muse…

@cccrust

@cccrust

A computer system including an OS, compiler and CPU written in Rust and Verilog, designed with Meta's Muse Spark 1.3.

Rihard Jarc

@RihardJarc

A few thoughts on the $META AI model's progress, because I think it is significant. 1. It does seem that $META has now leapfrogged $GOOGL in model quality when it comes to Muse 1.2 for many use cases, which is very surprising given the timeframe. 2. This is still the "Muse

armand

@armand_ruiz

My personal @muse agent got me $2,120.95 already 🤯: • $300/yr — negotiated my AT&T bill down • $192 — Amazon returns I never got around to • $47 — more returns on the way • $230 — IKEA ALEX 9-drawer unit, returned end to end • $516 — vet claim filed for my dog • $836 —

@naileditnorthshore-lab

@naileditnorthshore-lab

Change Verifier is a Muse connector and MCP server that runs seven checks on vendor bank-account or payee changes, returns clear, review or block, and holds the change until a named owner accepts it.

OpenRouter

@OpenRouter

Muse Spark 1.2 from @AIatMeta is live on OpenRouter alongside expanded global access to both Muse Spark models. At $1.25/M in and $4.25/M out, the model builds its position as one of the most price-efficient, high-intelligence models on OpenRouter.

Just downloaded the model, UD-Q5_K_XL quant, asked it to generate a long story to test out reasoning and speed with dflash (super fast btw, ~ 90 to 160 tok/s on a 5090 depending on task) and was surprised at the reasoning traces, they are so unlike anything i've seen recently either in gemma 4, qwen 3.5/ 3.6 or laguna, where as these models to like plan stuff out, and have organized thoughts / plans (granted like half the time they just loop and get lost either way) this model's reasoning is like if a gold fish was suddenly granted speech or something, the reasoning is so disorganized, repetitive, using we for some reason? and bringing up policy and safety twice me : write a long story model : write a long story User wants a long story. We can comply. No constraints. Probably provide a long story. Might ask genre? Could just write a long story. Probably provide a story. Maybe ask what kind? The prompt is just write a long story. We can generate a long story. Probably a few paragraphs. Long story could be lengthy. Provide maybe ~1000 words? Could be long. Maybe give a story with decent length. We should not ask clarifying? Could just produce. Probably safe to produce a story.

theres simply no other AI agent or tool that can do this for you for free PROMPT # Story Archive Census ## What to do Your human wants a full census of their Instagram story archive. Read this entire file, then follow the steps in order. The job is a census: walk every page and count every story, newest to oldest. It does not download any media. What you're working with: **Tool** — the Instagram connector's command line tool, `instagram-cli`. **Command** — one call returns one page of archived stories (about 20 per page), newest first. Each page hands back a `next_max_id` cursor pointing at the next page: instagram-cli own-stories-archive --account-id <YOUR\_ACCOUNT\_ID> ## Workflow ### 1. Walk the archive - Fetch the first page with no cursor. - For each page, record the page number, the story count, the newest story date, the oldest story date, and the `next_max_id`. - Feed that `next_max_id` back as `--max-id` on the next call, and keep going. - One call at a time, a second or two apart. No parallel calls. ### 2. Save progress - Write the page records plus the latest cursor to a state file every 10 pages, so the run can resume after an interruption instead of sta

Arun Cherian

@ArunCherian12

Find me a credit card with 0 balance transfer fees, Muse found me a few credit union cards that offer this

David

@never_offseason

Me: [Skeptical that AI assistants do anything useful.] I gave @Muse a try this weekend. It booked me a restaurant and parking reservation. OK whatever, thanks. I asked it to research the best of 700+ episodes of a podcast series that I like. Easy. Thanks again. Then it offered

@MrShitFox

@MrShitFox

A localhost compatibility gateway that lets the native Muse Code harness run on OpenRouter's muse-spark-1.2-contributor, rewriting only the model name and never falling back silently to another model.

Moss AI Studio 🌱

@MossAIStudio

Loving it! I did a 2026 remake of my Spooky Clicker the other day and the total was $0.63. Lots built too! Changelog for everything is here: github.com/DevTarlow/spoo…

Simon Willison

@simonw

Muse Glimmer, the new 30B model, is available on Hugging Face right now - here's the GGUF version: huggingface.co/meta-models/Mu…

AICodeKing tests Muse Spark 1.3 and Gemini 3.8 Flash on frontend, 3D, SVG, maths and agentic coding, and flags file-overwriting issues.

@tanishq-dubey

@tanishq-dubey

A reproducible Apple Silicon harness that runs six fixed quality tasks against MLX quantizations of Muse Glimmer 30B and records scores, tokens per second, peak memory and load time.