429 new ideas this week

Level up how you use AI

Real things everyday people got it to do, and how to try them yourself.

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A random mix from the whole library. Shuffle for a new set.

The AI planned his Vegas weekend and kept the group money split straight by itself

A man used AI to plan a weekend trip to Vegas with elderly family, shortlisting dining and events around dietary restrictions. The AI also built a web app dashboard for the trip and handled the payment splitting: he told it what each person spent for the group, it kept running totals split three ways, and when a Venmo email arrived saying someone had sent money, it updated the balance sheet by itself.

Rebuild your own broken connector and finish the weekly update

A user's notes MCP was down - his own mistake - when his agent decided finishing the request mattered more: it researched the Joplin API, wrote, refactored, and debugged a 400-plus-line Python tool across five files, then used it to read his notes and write its weekly update markdown into Joplin as planned.

The AI called my library to ask if it has outlets

He needed to know if a library near him had outlets. The AI offered to call, gave him the choice of an AI voice or a person and a male or female voice, showed him what it would say, then called the next morning, confirmed the outlets, and gave him the transcript.

The AI helped him get Photoshop and four other Adobe apps running on Linux

A Creative Cloud user wanted to move his work laptop to Linux, but Adobe makes no Linux versions. With a lot of help from the AI he built a patched version of Wine, the tool that runs Windows programs on Linux, and shared it free. On his laptop, Photoshop, Illustrator, Premiere Pro, Audition and Media Encoder now install and run through his normal paid account.

Bills batch posted straight into the accounting system

At the same accounting firm, staff batch upload client bills and the agent reads each one, decides whether it belongs in payables, receivables, or the cash book, and posts it into AutoCount after a person reviews and amends the lines. The firm has run the setup in production for three months.

MoneyPartly worked

The AI hunted my protein powder deal and vetted sellers I had never heard of

Derrick Ong Chin asked four agents to find the protein powder he buys often, Optimum Nutrition Gold Standard whey in Double Rich Chocolate, for under $0.90 an ounce. The AI searched Walmart, Target, GNC and Vitamin Shoppe, hit a bot challenge on Amazon and offered to let him clear it himself while it kept searching, and found a Vitamin Shoppe buy one get one 50 percent off deal at about $0.92 an ounce that still needed checking at checkout. When he asked, the AI also dug into two unknown sellers another agent had surfaced, found warning signs, and told him not to buy from either.

This only partly worked. Worth knowing before you try it.

Write a driver so my old printer works on the new macOS

An old printer orphaned by macOS 27 got a second life: The AI wrote the driver while using its owner as the diagnostic instrument - asking him to judge whether each line was progressively less visible, whether page one's DPI was lower - until the printer printed correctly again.

HobbiesPartly worked

Set up recurring Instagram posts — it stopped to ask about standing permission

Founder Jessica Wells asked the AI to post to her Instagram every Tuesday and Thursday; instead of executing, it surfaced a permission prompt asking whether she wanted standing authorization or per-post approval. Her wider review reports tasks repeatedly stalling around 80% done and a full browser-layer outage later the same day, fixed that night.

This only partly worked. Worth knowing before you try it.

Four AI agents run his newsletter day to day for 9,000 subscribers

His newsletter, close to 9,000 subscribers, is run day to day by four AI agents with set roles: one oversees, one edits and manages, one builds, one dispatches the work. He still approves anything that goes out, and the agents refresh their own context from checkpoints instead of slowly forgetting across days.

Extract contact information from emails with staff-built agents

Several Hiscox employees independently built the AI Studio agents that extract contact information from emails, and the duplication was treated as a demand signal: the individual solutions are now becoming a larger shared business project with data science, technology, cyber and risk specialists involved.

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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.