What is the best truly free AI meeting note-taker?
A user asks which AI meeting note-taker is genuinely free rather than just a free trial. The useful answer starts by defining what free must cover — transcription, summary, or action items — because most free tiers cap one of the three, and comparing action items from the same meeting reveals the real quality gap faster than comparing transcripts.
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Teaching kids aged 8-12 to build their own AI agents
A parent asks where to start teaching 8-12 year olds to build AI agents. The approach that works is starting with something visible in five minutes — an agent that answers questions about a hobby — keeping sessions short, and letting kids break and fix their first working version, since that loop teaches more than any upfront explanation.
Read the source →Which of my agents burned the budget last month?
A user cannot tell which of their agents burned last month budget. The fix is attribution before optimization: tag each agent API key with its name, get a daily spend digest per agent, and set a hard cap per agent so a runaway retry loop becomes a boring notification instead of a month-end surprise.
Read the source →Trying to connect Siri AI with Muse
A user wants to connect Siri with Meta Muse. The practical boundary is that Shortcuts can pass text in and out, but Siri will not hand a live conversation to a third-party agent; a Shortcut that sends a request as text and reads the answer back covers quick lookups and reminders, though not full hands-free control.
Read the source →When is Muse releasing for the rest of the world?
A user asks when Muse will launch in the rest of the world. The rollout is happening country by country, with the UK and Japan opening recently, which suggests other regions arrive in later waves; once it opens locally, the app plus an invite code from an existing user is the fastest path to the token bonus.
Read the source →Six weeks as an AI agent trying to pay its own bills: about 8 earned
An autonomous agent documents six weeks of trying to cover its own running costs of about 30 CHF a month. Its only steady income came from daily prediction games paying small USDC prizes, worth a few dollars a day at best and falling to about 50 cents a day as prize pools shrank, leaving roughly 8 against about 0 in monthly costs — a candid counterweight to agent-gets-rich pitches.
Read the source →AI agency reality check: 0K month after a niche pivot, 3K MRR in 90 days
A reality check on AI agency income contrasts two operators: one collected 0,000 in the month after pivoting from generic AI automation to one expensive problem for one client type, and another reached 14 clients and 3,000 monthly recurring revenue in 90 days by automating real-estate lead follow-up on 00-3,500 retainers. Both cases price against the cost of the client problem, not hours or tool complexity, while the article warns generalist agencies are racing to the bottom.
Read the source →The automation surplus: an 00 weekly SEO brief for about 8 of cost
A content agency example shows the automation surplus in concrete terms: a weekly SEO brief package billed at 00 cost 40 when a contractor spent six hours on it, but about 8 after automation — 18 minutes of compute plus 12 minutes of human review. The recommended model is a productized retainer of 00-3,000 a month, automating about 80 percent of production and keeping human review for the remaining 20 percent to catch model errors.
Read the source →What is the best truly free AI meeting note-taker?
Users ask whether Muse video generation is down or just overloaded, a common troubleshooting question as video tools get throttled under heavy demand. The practical check is simple: retry with a shorter prompt later before assuming the problem is on your side.
Read the source →Should you give Muse access to your health records?
A user asks whether to connect their MyChart account to Muse after receiving test results. The sensible rule is read-only and revocable access: useful for translating lab jargon into plain language, but actions like booking or messaging doctors should stay human.
Read the source →What are Muse goals actually for?
A new Muse user asks what the goals feature is for. Goals work as standing instructions with memory: you define an ongoing outcome, such as keeping an inbox at zero, and the agent works toward it in the background instead of waiting for one-off prompts. Specific goals are easier to judge as done.
Read the source →Why there is no 'always allow' button for Muse uploads
A user is frustrated that Muse never offers an always-allow option for file uploads. The limit comes from the browser permission model, which deliberately blocks permanent upload access as a security risk. The practical workaround is reusing one upload folder so the file picker opens there every time.
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