AI receptionist books but can't reschedule: a missing tool, not a broken voice
A builder spent four days on an AI receptionist with Retell and cal.com: booking works, but rescheduling and cancelling does not. The thread points to the usual culprit — the agent was only given a create-booking tool and improvises the rest — and suggests wiring explicit reschedule and cancel tools that take the original booking ID before touching the voice prompt.
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Building a RAG agent for parents: five questions on hosting, frameworks and costs
A builder creating a RAG agent to help parents navigate autism-diagnosis bureaucracy asks five practical questions about 24/7 hosting routes, agent frameworks and the unknown unknowns. The key insight from the discussion: the biggest risk is not the framework but stale data, since parents will trust a confident-sounding wrong answer.
Read the source →What do you still prefer Gemini over Muse for?
A user paying for both subscriptions asks what people still prefer Gemini for, even though Muse connects to Gmail and Google Calendar. The emerging split: Gemini for fast second opinions inside Google's own apps, Muse for tasks that need doing rather than answering.
Read the source →Agents that pay for their own compute and APIs: smart or a disaster?
As agents start getting their own wallets to pay for APIs, data and compute, a thread asks where the line is: would you give an agent real funds, with what limit, and what would have to change first? The practical answer emerging is junior-employee rules — a small daily cap, an allowlist of vendors, and a human ping before anything over the cap.
Read the source →Beginner asks for real-world AI agent project ideas, not tutorials
A newcomer wants to build on an AI harness with a real-world scenario instead of a tutorial-level project. The advice that fits: pick one annoying chore you already understand, where you can tell instantly whether the agent did a good job, because vague success criteria are where beginner projects go to die.
Read the source →Do you like to sit and watch your AI employees get to work?
A Facebook group post asks whether people enjoy sitting with a coffee watching their AI employees work, even when they should be doing other things. The thread captures an early-user truth: the fascination fades, and checking the agent's output becomes the real job — and the skill worth building.
Read the source →Adelante: e-commerce customer-support agency at $17,837 verified MRR
Adelante sells customer support as a service to e-commerce businesses, with a human in the loop, at an estimated $35 per customer per month. Its $17,837 monthly recurring revenue as of October 16, 2026 is verified through the Stripe API, ranking it 9th among verified AI-agent businesses.
Read the source →Lancer: sales and careers tool at $17,783 verified MRR
Lancer is a solopreneur-run tool for sales and careers that operates nearly autonomously at an estimated $185 per customer per month. Its $17,783 monthly recurring revenue as of October 16, 2026 is verified through the Stripe API, ranking it 10th among verified AI-agent businesses.
Read the source →Distribb: SEO and social media tool at $17,676 verified MRR
Distribb is a solopreneur-run SEO and social media tool operating nearly autonomously at an estimated $85 per customer per month. Its $17,676 monthly recurring revenue as of October 16, 2026 is verified through the Stripe API, ranking it 11th among verified AI-agent businesses.
Read the source →Chat Data LLC: sales and support tool at $15,527 verified MRR
Chat Data LLC is a sales and customer-support tool run nearly autonomously by a solopreneur at an estimated $45 per customer per month. Its $15,527 monthly recurring revenue as of October 16, 2026 is verified through the Stripe API, ranking it 12th among verified AI-agent businesses.
Read the source →Live Avatar Muse spotted on the home screen in a circulating clip
A clip circulating on October 28 shows a live Muse avatar running on a phone home screen, shared from a user in China. This is a circulating clip, not an official Meta announcement, and voice features are reportedly rolling out in waves, so not seeing it yet is expected.
Read the source →Where does Meta's Muse agent fail or need a lot of hand-holding?
A Muse user who hasn't connected email or calendar yet asks where the agent actually fails and what it flat-out can't do. The thread is a useful reality check on agent trust: most failures come from vague instructions and unclear success criteria, not the agent going rogue, and connecting tools gradually from low-stakes tasks is the sane path.
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