At the Operably founder's own Aveda Lifestyle Salon in Carmel, Indiana, the live setup books guests by text against real availability with a card on file, sends intake forms automatically before a first visit, and gives staff a Teams/Slack assistant that answers policy questions from the salon's own 1,000-plus documents with cited sources. Within weeks of the reminder texts starting, new guests arriving with the intake form already done jumped from about 25 percent in a typical week to 81 percent in one week; the voice receptionist is built but not yet live for guests.
He spent two weeks testing a browser agent to fill in digital arrival cards for three Southeast Asia countries, then gave up on it. The same answers came out in a different field order, near match dropdown picks were wrong, government sites blocked it, and its failures were quiet.
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A dad’s the AI searched for dentists near him for his son, verified which ones accept their insurance on the offices’ own sites, and made the appointment on its own from its web browser, the first time it had done so. He got the confirmation by email and text without calling anyone.
He wanted the AI to compare pricing across the two data centers he uses. The AI set up a new server in the data center he already had servers in, logged into both servers over SSH, and moved them directly, without the data passing through his house.
Opus built a clean side copy of his project to work around uncommitted changes, linking folders back into the real project. Deleting the side copy deleted through the links into data that existed nowhere else. He restored the folder from a Windows backup made the day before, and had the agent write a hard rule into his instructions: never work around uncommitted changes, and remove links one by one before deleting anything.
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Vo asked the AI to set up a gentle sleep-training goal for her eight-and-a-half-month-old, noting the family room-shares in a small house. The AI created a gentle action plan with automated reminders tailored to that constraint.
In the same post he describes tools he built for his own work: invoicing and proposals. Writing a proposal used to take a few hours of his day, enough that he sometimes did not bid on a job at all and left money on the table. Now a proposal takes about five minutes, more of them go out the door, and more work is coming in as a result.
Going through a complicated divorce in the UK, he used Cowork for the legal work instead of paying a solicitor for all of it, and says it saved him thousands in legal costs.
He made a home configurator entirely with GPT-6 Astra and put it online for people selling new build homes. Buyers can open it and try it instead of only looking at a PDF.
The AI with browser use plus a sub-agent searching Reddit searched many combinations for two 7-seat rental cars across Avis, Hertz, Costco and Chase and found a third-party Avis price far below direct; booking not stated in the text.
This only partly worked. Worth knowing before you try it.
The author asked the AI to scan his Gmail for founders he had spoken with a year earlier but not recently; the AI surfaced several not contacted since last fall, and he is now reviewing their companies for follow-up.
A man had a poor quality home plan from the previous owner. For about $1 of his usage quota, the AI converted the drawing into 3D, changed the room he wanted to redo, made a few visual options, built a shopping list from his local store with budgets, and put it all on a local web page. He says the same job done the normal way would take a package of apps, trained people and at least $10,000.
GLM and the AI redesigned an interior 3D-print part to print in vase mode; the new part is better than the human-designed part he took from the internet.
Natalie Golba (verified, 290K followers) introduced her AI 'WALL-E,' explaining it changed her business. Screen recordings show her chatting in iMessage: WALL-E pulled 12 ingredients from her detox-soup recipe (cauliflower, carrots, broccoli, zucchini, red bell pepper, roma tomato, cilantro, dill, parsley, garlic, lemon juice, salt), added them to an Amazon Whole Foods cart, and presented a $30.79 checkout for delivery the next day 5-6 PM in Beverly Hills.
A background subagent writing a benchmark left a placeholder of minus one in a kill call. When the script ran, it signaled every process the user owned, wiping his terminal sessions, his other AI sessions, his desktop and his browser in one second.
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Amar Ghose, the non-technical CEO of ZenMaid, had the AI interview him with about 20 questions, draft product, technical and design documents, then build 'Fran's Peak' — a live app where his wife logs her 100-day painting challenge, watches her streak climb a visual mountain and shares progress with followers. It took roughly 7–8 hours on a Saturday, went live Sunday morning, and she uses it every day.
Several parallel AI agent sessions (Opus 5.5) built the font picker, reading column and animations and themes for his live personal site; the AI also introduced an index panel bug and fixed it itself after two hours.