A random mix from the whole library. Shuffle for a new set.
An AI Skill reads his main Google Calendar, works out the free time in his day, and after he confirms, fills a separate calendar with 50 minute focus blocks and 25 minute chore blocks based on the Pomodoro technique. A script that runs every minute then turns his Mac's work Focus mode on and off to match those blocks, and he says it is running well so far.
Family-law trainer Stephen Smith built four working tools with AI, one conversation each: a settlement schedule that shows a client how much of an $8,000,000 award is actually spendable and when, a two-sided case chronology with exhibit links, a parenting-time calculator that counts overnights and percentages, and a case-path timeline clients get at the first meeting. The examples use training data, and he warns that the AI wrote the math, so every number must be checked before a client relies on it.
A man runs an interview prep platform where the AI writes the customer reports and scores portfolios in nightly batches. Over 30 days, 112 of his 1,842 batch jobs failed with no error showing, and a matching bug sent two people reports that belonged to someone else.
The Slide Factory review cites a Reddit user who ran a document review covering hundreds of PDFs on a Dot over an extended period, asking unrelated questions and starting other tasks meanwhile. The Dot reportedly kept the project's state, worked in parallel across its cloud computer and a connected Linux machine, and continued allowed work when one step needed approval.
A Korean blogger documents the 13 scheduled the AI routines (desktop-app Routines) that run his content operation as of Oct 13, 2026: 6 daily blog-post jobs, 3 daily or every-other-day refresh/summary/index checks, 2 social jobs (Threads twice a day, Instagram), and 2 weekly checks and calculator builds. Jobs were picked with a filter he also turns into a reusable prompt: the task must repeat 3+ times a week in the same order, be checkable in one minute, and be reversible (never money-sending, deleting or messaging others). Guardrails: routines halt and log where they stopped if a password field appears, and Blogspot posts stay drafts for him to publish. A one-off scheduled job to end a book discount at 00:05 on Oct 13 ran on time. The post sells his 18-page PDF of the instruction and memory-file templates, so it is marked promotional.
A non technical founder, who spent 25 years in banking, has six AI agents running his small business magazine: a CEO agent, trend scout, researcher, writer, SEO agent and publishing agent. He has caught real errors, including a sales agent that wrote a full report for a fake email address and a CEO agent that burned money by waking up too often.
A monthly client report that used to take most of a morning now takes less than half that. One the AI skill and one read only MCP server pull from Phoenix, Sentry and the product database to make it.
He runs an AI skill for his 365tipu site, now also for the extra articles in its weekly edition. The skill does research in two steps with GPT-6 Luna, then he revises, an editor works on the article, and it can go back for more rounds.
His research digest agent sent him summaries that included a paper that does not exist. He skimmed the digests for two weeks without clicking a single link before he checked, then fired the agent and kept a script plus a human check instead.
He connects an AI to his posting app with one key. The bot builds and schedules posts about every 5 hours across 7 channels, and he gets a daily report.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.