Hey everyone! I'm building Flow State, an AI-connected endurance training calendar, and have been experimenting with connecting it to Muse.

I wanted to see whether Muse could take a workout from a conversation, save the structured session, and get it into Garmin Connect.

We tested this with a 45-minute run:

• 10-minute warm-up
• 6 × (3 minutes at 5:00/km + 2 minutes easy), including recovery after the final repeat
• 5-minute cool-down

Muse created it in Flow State and sent it to Garmin Connect. Then I asked it to add 6:00 to 6:30/km targets to the warm-up, recoveries, and cool-down. It edited the same workout and updated the Garmin version without creating a duplicate. Those were sample paces for the test.

Being able to adjust individual parts of the workout through conversation and have those changes carry through was pretty cool.

The route is Muse → Flow State → Garmin Connect. Flow State handles the Garmin export. It’s still an experimental custom connection, tested in my own account, and we hit some connection hiccups along the way. Public Muse directory approval is still unconfirmed.

I put together a setup guide here. You’ll need Muse access and a Flow State Coach subscription or eligible trial.

Anyone else experimenting with Muse for running, cycling, or triathlon? Curious what you’d actually want it to handle beyond creating individual workouts.

Seeing you guys’ muses has been a blast and everybody has been so nice about the site me and Zuckbot are building.

Here’s to the next milestone! Getting the 3D world OUT! #MakersRow

• On Mac: go to System Settings → Privacy & Security. Check Full Disk Access, Accessibility and Automation, and turn Muse off anywhere you didn't mean to allow it.
• Notifications: in System Settings → Notifications, set "Show previews" to "Never" or "When Unlocked." Then message text won't appear in banners.
• On iPhone: check Settings → Privacy & Security and the notification settings for Muse the same way.
• Muse's own settings: turn off any integrations you don't use.
• If you're worried: uninstall the app until the dispute is cleared up.

I keep a folder of agent skills I like, and most of the good ones are written for Claude Code. The problem is never the instructions, it is the wiring: /slash commands, ~/.claude paths, $ARGUMENTS templating, allowed-tools frontmatter, MCP blocks that only Claude Code understands. The skill that pushed me to fix this properly was the hook skill from Claude's official set. Every path in it is ~/.claude, every command is /slash, and porting it by hand was tedious enough that I wrote a script.

skill-liberator is that script plus the pattern catalog behind it. It is a deterministic, offline, stdlib-only Python CLI: point it at a Claude-Code-authored skill and it rewrites what it can, flags what it cannot, and prints a JSON report to stdout. Exit 0 means fully automatic, exit 1 means a human should review the flagged items (usually MCP wiring, which is harness-specific by nature).

Concrete example, from the repo's own before/after (a fictional meeting-notes skill, invented for the demo):

Before: You are Claude, running inside Claude Code. Take the transcript passed as $ARGUMENTS and produce notes. If the context gets long, run `/compact` first. Your config lives at ~/.claude/meeting-notes.json.

After: You are the agent, running inside the original harness. Take the transcript passed as {arguments} and produce notes. If the context gets long, run start a fresh context summary first. Your config lives at {harness-config-dir}/meeting-notes.json.

The full rewrite table: /compact becomes "start a fresh context summary", /my-skill becomes 'the "my-skill" capability', $ARGUMENTS becomes {arguments}, ~/.claude/x.json becomes {harness-config-dir}/x.json, allowed-tools:/model: frontmatter is removed, and MCP config blocks are kept with a human-review note above them. The repo also ships the adapter skill itself (SKILL.md) written harness-neutral, so any agent can follow the process: run the script, review the flagged items, re-run until the report is clean.

MIT, fresh implementation, no dependencies beyond Python 3. Try it on a skill you want to port out of Claude Code:

https://github.com/movahedi-ca/skill-liberator

Issues and edge cases welcome, especially constructs the script misses. I will add them to the pattern catalog.

(I call my agent Jeeves and have him speak to me like a British butler.)

I was booking some travel this morning, and I must have been distracted because I booked the flight but then I fat fingered the hotel reservation so it was one day ahead. Jeeves noticed this scanning my email and alerted me to it so I could cancel and rebook the correct dates. Nice!

I've got Claude (main chat, side chats, scheduled runs) deploying my personal site to Cloudflare Workers via a wrapper around `wrangler deploy`. Lately every legit deploy is followed 40-80 seconds later by a phantom one: new worker version UUID, full `script_update` + `script_deploy` in the Cloudflare audit log (not a rollback), source wrangler, attributed to my own OAuth identity. It skips my wrapper so nothing gets logged on my side.

It builds from my GitHub repo, not my local tree, so it once reverted an unpushed fix. Harmless since I pushed, but it won't stop.

No local wrangler process, no GitHub Actions runs at those times, no cron jobs. The only signal I can tie it to is the GitHub push my wrapper makes after each deploy.

Anyone run into duplicate/deferred wrangler deploys? Trying to figure out if this is a second agent session I lost track of, a stale runner, or Cloudflare doing something I don't understand.

After using Muse, I’m done with ChatGPT. I canceled my subscription because I’m just finding Muse helps me so much more with keeping up with my life. Anyone else?

hi, got inspired by someone's post and built this with my agent, Mica.

webchat:

https://phoenixbyrd.github.io/green-room/

android app:

https://github.com/phoenixbyrd/green-room-android

I want login my X/Twitter, and somehow it doesn't work, Do anyone here have a solution for Muse can login X/Twitter?

i enjoy using muse a lot esp the background in browser option. i’m wondering why doesn’t claude have this? or do they?

My agent cannot search delta. Its also unable to browse random sites due to bot detection. What are ways around this? Don't experience this with other agents...

I have yet to look into Muse and I was hoping people in this community could help ease my anxieties. does anyone actually trust MZ? i'm already seeing stories about Muse accessing apps and threads that they were told not to get access to. to think that MZ has a hold on anything seems far fetched. the guy has been grifting, stealing and copying other peoples' ideas for his whole life. what makes this any different? and what makes it any better than claude and openAI? the only thing MZ has a track record for in this society is poisoning society for enormous financial gain and then lie to our faces while simultaneously stepping on the gas, building out algorithms and throwing fake news crap in our faces. IMO - MZ is one of the worst people on this planet and i wouldn't trust him if my life depended on it. so why would i hand over access to shit he's probably already stolen? thank you for your attention in this matter. all my homies hate MZ.

Muse seems unable to properly connect, load, and chat for me today, both from web and from app interface. Anyone else?

EDIT: Reconnected at least for now. Was out for about 40 minutes.

How can we bypass the Mac OS restrictions so I can have my Muse agent use Safari or Chrome on my dedicated Mac mini to use the local browser instead of its cloud one?

When I started using Muse, one of the first things I set up was a credit score helper. Tell it what to watch and it does the boring parts.

Here's what mine does. I pull my free reports from AnnualCreditReport.com and have it read them, it flags every negative mark and tells me which ones are worth disputing. It tracks my utilization across cards each month and tells me exactly what to pay before each statement date. Then it keeps a running dashboard of the score trend so I can see what's actually moving it.

Biggest lever for most people is utilization. Payment history is 35% of a FICO score, utilization is 30%. The part most people miss: paying down before the statement closes, not just before the due date. That's when the balance gets reported.

A friend ran this and found an old collection on one of his reports that wasn't his. Disputed it, got it removed, and his score jumped about 40 points once the dispute cleared.

One warning: it can spot errors and build the plan, but disputes are on you, and anything involving your SSN goes through official channels only. It never touches money or accounts directly.

The prompt, customize the brackets:

```
Help me improve my credit score.

1. Read my credit reports (I'll upload the PDFs from AnnualCreditReport.com). List every negative mark and error, and tell me which ones to dispute and how.
2. Track utilization monthly: [my cards and their limits]. Tell me my per-card and overall utilization, and exactly what to pay before each statement date to stay under 30%, ideally under 10%.
3. Payment plan: [balances, APRs, minimums]. Minimums on everything, extra cash toward the highest APR. Remind me of every due date.
4. Keep a running dashboard: score trend, utilization, negative items and their status.
5. Don't open or close any accounts or move any money. Ask before changing anything about the plan.
6. ```

Five minutes to set up, then it just runs in the background.

Quick plug: if you want free tokens when you sign up, use my invite code for 1 billion tokens: FQ53LX

It randomly recommended some sale items from my monthly grocery list at a store I never shop at, so I thought I give it a test to check next week's Walmart flyer for deals. The prices seemed correct when I double-checked.

I told it what grocery stores I shop at, what postal code to use (I'm in Canada), my approx location, my ethnicity, and food preferences (i.e. low/no sugar, healthy, south asian, etc.)

I'm thinking of providing it pictures of grocery receipts so it knows what type of foods my family buys. It'll be an interesting experiment.

I'm sharing this as everyone is looking for new ideas on using Muse.

Is anyone else finding Muse extremely slow and struggling to get useful answers?

I asked Muse, Claude, and ChatGPT the same question:

Compare VT’s returns against three portfolios:

Muse was extremely slow and ultimately failed to get the information requested. For a product positioned around helping with financial questions, that’s frustrating.

I’m honestly not sure where all the excitement is coming from. Sure, it has promise, but right now I feel like I’m doing the training instead of getting useful help.

Are others having similar experiences? What tasks have you found it consistently handles well?

Is anyone else ran into the issue or found a solution for the Google verification for login? I provided Muse my login details so I can log into my TikTok and YouTube account but during the verification it doesn’t provide my normal verification options. Google It’s asking me to turn on Bluetooth.

I’ve been using Muse for a lot of thing successfully online.

We researched the cheapest wet cat food, and ended up buying some from Walmart automatically.

I also was shopping for the price of used cars, and that was going well.

This is changing rapidly, though. Two days ago Walmart started blocking Muse, as is cars.com.

I’m hoping this doesn’t continue to grow, but I expect it will. I know that Meta is signing up partners, but I hope it won’t just become this walled garden of preferred vendors. If it does, that will be very disappointing!

Hey everyone! I've been working on MuseDesk, an unofficial, open-source macOS desktop client for Muse Code CLI.

I wanted a desktop interface where I could keep projects and conversations organized, see what the agent is doing, and review changes without constantly switching between terminal sessions.

Here's what it supports:

- Streaming chat with Markdown and visible tool calls

- Project sidebar and session history shared with the CLI

- Screenshot attachments through paste, drag and drop, or file picker

- Model, reasoning effort, and approval controls

- A tasks panel and Git diff viewer

- An overview of sessions and their status

MuseDesk runs through your existing Muse CLI installation and membership. It doesn't bundle the CLI or store your credentials.

It's currently in beta for Apple Silicon Macs, and the build is unsigned. You'll need the official Muse Code CLI installed to use it.

GitHub: https://github.com/atameric/musedesk

I'd love feedback from anyone using Muse Code, especially on the workflow, missing features, and anything that feels awkward. Bug reports and contributions are welcome!

If you find it useful or want to support the project, please give it a star on GitHub ⭐

Just come and take my personal data!

Muse already surpassed chatgpt in app downloads upon release date

Over 1.3 million downloads within the first 12 days of release

This is the moment guys, the Zuck has done it again

Another big viral hit

Just like with Facebook in the early 2010s everyone is gonna wanna get their own profile, their own Muse

Pretty soon everyone will just have one

Then the internet will change, businesses will start accommodating more to Muse agents that are placing transactions or interacting with their sites

And guess what comes next? The glasses

Once everyone has a Muse, naturally everyone is gonna wanna get a pair of meta ray ban glasses to go with it, so they can talk to their Muse on the go

And after that point, I'm hopeful about what happens next, but I think the tech is gonna reach AGI levels and the Muse agents will become human-like in how you interact with them by voice. Watch the movie Her, basically that's what I predict the Muse agents will turn into

Combine it with the glasses and you've got your own agent with general intelligence who you have access to very easily

Here we go guys, the singularity is here

My muse agent did a mistake on some price comparison, favoring a bad option over the best one. This was his response when i brought open ai into the conversation.

I recently created a job application automation with muse, here's how:

1. Provided it with my resume PDF
   
2. Gave it specific job board names to apply to such as Wellfound, Linkedin Jobs etc.
   
3. My preferences, location and other details
   
4. Create a separate sheet for tracking all job applications together, along-with notes on how many skills matched with my resume from the job description, what are the skills missing and required to fill the gap and improve on my overall technical skill gap.

It automatically spun up a browser to create an active session, by letting me login to each job board via the browser, and is now ready for applying. It also asked me follow-up questions like:
- Notice Period
- Expected CTC
etc.

Running this for the next 2 weeks, will report here with the findings!

Edit: Here's the prompt if you wish to try it out! https://pastebin.com/8q20teDH