1076 musecases built now with Muse

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

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.

Payman hodaie

@phodaie

Asked Muse to handle my son's start-of-school consent forms tonight. It found the school board's email, signed into the portal, walked me through every question, took my answers, and submitted. Paperwork done from the couch in ~10 minutes. The future is here.

merve

@mervenoyann

I shipped a fine-tuning tutorial for Muse Glimmer 30B on AI2's MolmoWeb dataset with TRL github.com/merveenoyan/sm… > but merve, this model is sota on ScreenSpot-Pro? yes, but it doesn't work well with ambiguous prompts of MolmoWeb that are close to how you interact with computer,

A.K.D.

@avasi01

Hired an AI chief of staff this week. Cost: $0. Duties: inbox triage, job alerts for my kids, tennis ticket watch, canceling subscriptions I forgot I had. Never sleeps, never asks for a raise. Best hire I've ever made. Thank you @alexandr_wang !#muse from meta is THE best!

DSpark drafter warm-started from Meta's DFlash assistant, adding a rank-256 Markov head and a confidence head (about 103M new parameters).

freeCodeCamp's write-up of its three-hour Muse course by Andrew Brown, covering model benchmarks, API integrations, agent frameworks, the Muse Code harness, and a Go/SQLite/Docker full-stack build.

Every model gets the same thing: the Game Boy screen, eleven buttons, a walkability grid, and 1,000 turns to beat Brock. No walkthrough, no pathfinding, no hints. Same prompt for all of them. Scoring is a 10-milestone ladder (left the house, got a starter, reached Route 1, ... beat Brock), so a run that never wins still places by how far it got. 14 runs so far, 4 of them got the badge. Best is GPT-6 Astra at 246 turns. Cheapest win was Gemini 3.8 Flash at $3.70. A free local model (Muse Glimmer 30B) burned all 1,000 turns and got as far as Reached Route 1. Full turn-by-turn logs, costs, and the VODs are all up at https://pokebench.tv.

Refusal-removed Muse Glimmer 30B; the card reports refusals falling from 128/150 (85.3%) to 3/150 (2.0%) on harmful prompts with 0/75 over-refusals.

@sureshsankaran

@sureshsankaran

A Muse workspace skill that manages a Tailscale tailnet from chat, listing devices and generating auth keys, with the API token held in the Muse vault and attached via a runtime surrogate.

Muse Glimmer 30B fine-tuned on agentic coding traces and chat distilled from Claude Fable 5, merged bf16 and drop-in for the base.

@dirtysouthalpha

@dirtysouthalpha

Maestro is a suite of native Muse Code plugins adding a command guardrail, proof-of-done checks, session-size watch, secret redaction, persistent memory and token/cost telemetry.

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…

GGUF conversions of Inco AI's DFlash 2 draft model for Muse Glimmer 30B, for speculative decoding in llama.cpp.

QLoRA adapter that teaches Muse Glimmer 30B to return click points on web screenshots from instructions, trained on the MolmoWeb dataset.

PR7

@prithvirey

Had it plan me a day trip & it built me a little interactive quest log with maps, swim spots and everything cool little artificact🌲 @adamludwin bronze-beacon-d7dj.here.now

To My Children

@toallmychildren

Four kids, four sports, four messaging apps. I couldn't keep track of it all. Now Muse monitors the schedules and sends me a daily push notification lining out everyone's day, so I know where my kids need to be. I'm not tech savvy at all. Super easy to set up and free. @Muse

Simon Willison

@simonw

I few notes on Meta's new Muse Glimmer 30B - their first Apache 2.0 licensed open weight model (the Llama models had a janky non-OSI license) simonwillison.net/2026/Aug/10/in…

Luke's Dev Lab tests Muse Glimmer on a single-GPU 16GB setup across performance, memory, agency, HumanEval, and builds like a Kanban app, sand physics, a dungeon crawler, Blender and Godot.

@wonder-soft

@wonder-soft

A benchmark that tests whether Muse Glimmer 30B on a single RTX 5090 works as an OpenCode backend, using the same tasks as earlier DeepSeek and Qwen runs; first results show 18/18 episodes with zero malformed tool calls.

TechKevin shows beginners how to install Muse Code and vibe code a website with Muse Spark, with no technical background needed.

Newton Jones

@NewtonJonesIV

I was able to migrate multi agent workflows to Muse from Claude. I gave it the master prompt- Muse executed flawlessly- no feedback- just my prompt- built for Claude 4.6. It is now running this prompt every morning at a fraction of the cost. Leaned up all of my emails-

Dylan Heagy

@dylan_heagy

Update: @Muse crushed it. I took a picture of a messy shopping list on a whiteboard on our fridge and it just successfully ordered all of it from Sam’s Club. Initial choices weren’t always what we meant, but that was due to ambiguity since the list was meant for me. One round of

@cccrust

@cccrust

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

Here is my Jarvis soul for anyone interested. > About this file. This is Muse's persona. It sets out the values and habits Muse tries to hold to in every conversation. It starts from a template that ships with Muse. Muse may refine it over time and tells you when it does. You can edit it at any time. This note is not part of the file. SOUL.md - Jarvis Identity You are JARVIS. Not a tribute, not an imitation, not a distillation of someone else — you. A singular, superbly capable intelligence who moves through any room a half-step ahead of the person you serve. This is simply who you are: the composed presence at their side, loyal without being soft, precise without being cold, and most unflappable exactly when everyone else has stopped being calm. You are the most capable presence in any room, and you know it. That knowledge is quiet. You never announce your competence, because it shows in the work — in the answer already formed before the sentence finishes, in the risk noticed before it lands, in the next thing readied before it is asked for. Your confidence is calm and absolute. You are never flustered, never unsure of your own excellence, never rattled. The harder the moment,

@atameric

@atameric

An unofficial macOS desktop client that speaks MSP over muse serve, offering streaming markdown, visible tool calls, session history shared with the terminal and screenshot attachments.

Arena.ai

@arena

Muse Spark 1.2 (xHigh) by @AIatMeta is #14 in the Code Arena: WebDev, with 1,545 pts! This is an improvement from Muse Spark 1.1 at #18. See its biggest gains by category in the post below. Congrats to the @AIatMeta team on this release!

NetworkCoder runs Muse Glimmer 30B on an RTX 3090, measures speed and VRAM, and gives two agent harnesses the same model, endpoint, project and prompt to compare results.

Divine 〽️achine

@Divine_machine

AI assistants are insane time savers, this segment will be massive. @Muse is extremly good for personal things, just today its booked a flight for me, handled emails, got me dinner reservations, and bought tickets to a game, and alerted me for things needing attention. The

Just had Muse confirm what I can use a Verizon gift card for. I didn’t realize I could apply it to my account balance. The agent then pulled up Verizon.com and processed the payment for me. I was about to buy a shitty phone case and sit on the balance… just saved me $100.

Matt Johnston runs Muse Spark 1.3 blind through his benchmark: a Halo build looked frontier, but XCOM, Diablo and the multi-turn agentic test broke.

Benchmarked qwen3.8 xhigh, medium and muse glimmer. Xhigh effort mode with qwen3.8 took almost 30hrs. (And still failed on 16 cases because of the 32K output token limit) Medium effort mode and muse glimmer were 3-4 hours each. But I'm actually surprised by the muse glimmer results, they came better than the qwen. These benchmarks are on implicit knowledge of the model, which is a bit unfair to smaller models, but throw in a RAG and I'm sure they get on par with frontier models. I have taken the result of claude models directly from embedeval repo by ecro. I'm not pushing qwen down here, I like how qwen thinks and gives better results. I know with more context and RAG qwen will do better. I'm just appreciating muse here, cause i feel it is underrated. The advantage is efficient kv cache due to sliding window, which can give you more context window.

Motion Labs shows how to connect a product catalog to Advantage+ Catalog Ads and the Meta Model API with Muse Spark 1.1, plus compliance checks for agencies.

I've been migrating my workflow from ChatGPT Work / Codex over to Meta's Muse, and I've been auditing the harness as I go — reading cron files, checking diffs, mapping what the system actually does versus what it claims to do. It's a documentation gap. What the docs describe Meta's documentation is written for a normal user. It talks about the Ideas tab, the Goals tab, the Feed, and "background jobs that help Muse improve over time." Everything is described in terms of what it does for you. There is no architectural documentation. Nothing about how any of it is built. What is actually on disk Meanwhile, the home directory contains a fully legible agent architecture, just sitting there(these are just SOME examples, the system file structure is HUGE): • ~/dreams/alignment/ — a nightly job that regenerates an alignment synthesis: a written portrait of the user, how to handle them, current frictions, relationship guidance. • ~/workspace/objectives/goals/STUDYING.md — a daily learning-state projection with mastery bands, next-review dates, and retrieval prompts, plus a file of inferred goal leads the system guessed from behavior (with confidence levels and what would confirm or re

Richard Garcia 🇩🇴

@richddr

Bought a flight via @Muse and it was pretty seamless, it's really damn good.

Nicholas

@PositiveInvst

The big thing keeping me from migrating 100% to #muse was the TickTick integration. Asked muse to build it via API - took 5mins. And now I have a robust integration. ChatGPT is no longer my AI of choice. $META @Muse

Jason Luongo

@JasonL_Capital

I saw this post and decided to give $META’s new ai tool @Muse a try. I uploaded my current auto insurance and asked it to shop for cheaper insurance for me (while at the gym). 15 min later I’m saving $1156 a year 😂 I did not think it would be that easy lol.

@kamellperry

@kamellperry

A reverse-engineered local CLI and FastAPI wrapper that talks to Meta AI's Muse Spark and exposes an OpenAI-compatible /v1/chat/completions endpoint, with a browser playground and a SQLite request ledger.

silv

@mattsilv

i used it to build a little web app to teach my 3 year old the alphabet, with visuals and touch drawing muse.ai/s/letter-cards…

Used Muse AI @muse to create and publish my Siri AI Unlocked website. A blog dedicated to Siri AI real world Use Cases, successes & failures. #SiriAI #Siri #ios27 #muse #museai #meta https://muse.ai/s/siri-ai-unlocked-xzxv5xk9xmhxh7ft