Angela customized her avatar 'Mimi' and asked for a kids-friendly meal plan for a family of five: no pork, at least one high-protein meal, under $125 total. The AI returned a PDF titled 'Busy-week meals, minus the scramble' with seven dinners organized by ingredient loop at about $110.
Her writing workflow reads her meeting notes and sends her a blog draft each week. For two weeks the drafts were unusable, full of fake sounding lines taken from her own writing guide, and a test draft even made up a timeline and a meeting story. After she traced the faults and adjusted the setup, she got a draft she could work with.
This only partly worked. Worth knowing before you try it.
He used AI to draft a first email inquiry to a contractor. The AI pointed out that the contractor's DC license expired in 2025, a check he says he would not have thought to make.
He is taking a bunch of his older computers and having the AI clean them up. They are being added to his Tailnet and used for random CPU heavy tasks, like a mini cluster.
This only partly worked. Worth knowing before you try it.
He is a photographer who found typing alt text for every photo slow going. He built a small agent on his own n8n server: he sends a photo through an Apple shortcut, the agent reads the picture with a local Qwen model, adds the camera data, and saves the finished alt text in an Obsidian note, ten photos at a time.
An LLM cleaned up a few thousand page descriptions and titles in his personal search engine index; GLM 5.3 Flash chosen after a shootout between models.
Spark read 20 to 30 of the founder's sent emails, extracted his two writing registers, greetings and sign-off patterns, and saved a reusable ghostwriter skill. Days later in a fresh task it drafted a PR email in his media-outreach voice without being told which tone to use.