My AI assistant built my keynote deck from my talk
He gave a keynote in Cincinnati this week and did not build a single slide himself. He told his AI assistant the talk, it made the deck, and he fixed it by text.
352 new ideas this week
Level up how you use AI
Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
Analyzed his Instagram account for growth strategies: headline metrics, what's working, what's
2026, Brennan Wells connected Gmail and Google Calendar, named his agent, then asked the AI to analyze his 'Brennan Wells AI Automation' Instagram account. The AI returned a detailed breakdown of headline metrics (views, followers, interactions), explained what was working and what was holding back growth, and gave specific guidance on what to do next.
Rebuild my page on-brand with a 40-line brand Skill
The tester saved a brand-style Skill of under 40 lines — exact hex codes, typefaces and three tone rules — and had the AI rebuild the same landing page referencing it instead of her website URL. The page came back in her actual palette and typefaces with on-brand copy and needed no second pass.
The AI built my insurance appeal package and my doctor used its letter
When her employer's plan stopped covering her medication, the AI worked out that the plan had a continuation of therapy route and built a full appeal package for her to hand in, arguing the drug was a continuation rather than a new request. She filed it, and her doctor used the letter template it wrote.
This only partly worked. Worth knowing before you try it.
Created a tracker for upcoming payments and subscriptions, identified a cluster of
The morning after the Google claim, family-tree audit, and inbox triage, the AI created a tracker for upcoming payments and subscriptions, identified a cluster of bills due within a two-week window, suggested spreading them out, and provided a plan for which companies to call and when.
The AI rebuilt my 20 years of address history from my email
He needed his address history for a co-op application and had struggled to dig out leases from a decade or more back. The AI searched more than 20 years of his Gmail and built a spreadsheet listing his addresses back to 2006, with links to the emails behind each date and a flag on the dates that were only a guess.
Ping me at 9:20 and tell me to take the bike, not the subway
In the same Vergecast clip, a host describes the AI connected to his Google Calendar: seeing a media dinner party in his evening, the AI advised taking a city bike instead of the subway because it would be faster, and pinged him at 9:20 to leave in time for a 9:30 arrival. The hosts frame it as the AI being proactive to the point of feeling directive.
My agent plans my workouts from my calendar and my own results, and I cancelled 20 dollars of subscriptions
A man set the AI to pull each week's workouts from training providers he used to pay for, since they post the sessions free but late. The AI checks his calendar for when he can train, offers him two options a day, then records what he actually did and how it felt, and uses that history to scale future sessions. A few weeks in it is saving him 20 dollars a month in subscriptions.
$20a month
My system puts out three news episodes a day while I sleep, 6,400 episodes in, and under 250 people watch
His custom pipeline reads the day's newsletters, picks the stories, writes the script (The AI), renders a presenter with his cloned voice, builds the visuals (The AI), and publishes a video, a blog post and a LinkedIn post three times a day at about $3 to $3.50 an episode. Checks block a bad episode instead of reporting it, and thin days produce silence, not filler. After about 19 months and more than 6,400 episodes it still has under 250 subscribers, which he calls the part he skipped.
This only partly worked. Worth knowing before you try it.
An agent cracked a game's file format and built the reader, audit tool and site
Fable reverse engineered the Satisfactory blueprint file format and wrote a reader, a graph auditing tool, and a website; work that would have taken a couple of weeks by hand.
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.