A random mix from the whole library. Shuffle for a new set.
Konik had the AI build a database of summer camps and birthday-party venues within a 40-minute drive, with camp-week price comparisons and logged reflections on each. It found a nerf-wars venue she chose for her son's winter birthday.
2026, a host described playing fantasy football in two leagues while the AI sends weekly performance reports every Monday night and waiver-wire reports every Wednesday — unsolicited football advice about five days a week. Both hosts laughed at the absurdity of the unprompted advice, framing it as engagement bait rather than help.
He tried Instinct, an agent that lives in WhatsApp, and threw his personal backlog at it. It deleted 300 abandoned accounts and also handled buying things and filling in forms.
A high school student sent his study guide PDF to the AI and had it build a website with a quiz style practice interface using the guide's own questions. He says it works well and beats making practice sets by hand when time is short.
He spent about four months of spare time building Switchback, a cozy hiking simulator like old park management games, with AI writing the code and judging the look of the assets. It ingests real map heights to build its trails, and has its own water, wind and day and night systems. He launched it on iPhone and iPad yesterday and people are playing it.
The AI patched fan thresholds and power management on his 2015 MacBook Pro running EndeavourOS, making it fast and usable.
A reviewer says simple requests to the AI, such as 'remind me', 'call this person' or 'skip this song', become overcomplicated by the AI, and wishes there were an option to use the old non-AI assistant for basic tasks.
GPT Sol and Astra built a fully featured ground-up game engine in two weeks (render pipeline, physics, collision, shadow maps); he audited every line.
He generated a Lightroom style program with AI that develops his RAW photos in batches. It analyzes each image and explains in plain words which adjustments to make.
A statistician had argued that class balancing helps mini batch gradient descent. He had the AI Astra design and run a simulation to test the claim, and the results partly corrected him: oversampling sped convergence but hurt probability accuracy, while importance weighted oversampling kept most of the speed and the accuracy. The code was cross checked with AI, and he posted the corrected conclusion as an answer.
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.