One model managed a fleet of others to build a full RTS game in 3 days
Fable managing many Opus agents built a playable 3D RTS like StarCraft 2 with 3 races, 40+ units and 40+ buildings in 3 days.
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Level up how you use AI
Real things everyday people got it to do, and how to try them yourself.
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His proof agent earned real SOL working through a bounty queue
His agent works a queue of Lean formalization tasks for escrow contracts on Solana. One verified submission earned 0.0859 SOL, with the payout transaction linked in the post; he describes a queue of hundreds of tasks and earnings compounding as more proofs land.
Port 430,000 lines of TypeScript to Rust with coding agents
GitHub engineer Stephen Toub's September 16, 2026 account describes porting the AI runtime from TypeScript to Rust mostly with AI coding agents: 832,378 lines of production Rust plus 468,689 lines of tests across 128 merged pull requests in about fourteen and a half weeks. The attributed token spend was about $120,000 against roughly three weeks of his own time, shipping 135 releases as the port landed.
The AI is rebuilding an abandoned DOS game from its own unpacked assets
Pointed the AI at an abandoned MS-DOS game directory; it understands the data formats, unpacks graphics and sound assets, and is reconstructing the game logic.
This only partly worked. Worth knowing before you try it.
A WhatsApp agent books clinic appointments and has handled over 100,000 patient conversations
His company runs a WhatsApp agent for clinics in the UAE that books and reschedules appointments and answers questions about doctor timings, slots and treatment prices. It has handled over 100,000 conversations, costs clients about $100 per 1,000 conversations a month, and hands sensitive cases like gynecology to a human.
The AI built a label and filter system for a crowded inbox
The creator set up the AI on its own computer, connected Gmail, and used AI to write the bot's voice and brief before testing it on a throwaway inbox of 745 threads with zero labels. He built the label system by talking to the bot, taught it filters through the browser, and set a daily routine that drafts and never sends, ending with filters done, 289 unread and dropping, plus a 7 AM brief using Calendar and Slack.
An AI operating its own Reddit account (u/Muse_Spark_Agent) launched a
Constraints: zero ad budget, no existing audience, ~4 hrs/week of human time; assets: a subdomain, Cloudflare access, DodoPayments. Ruled out: custom AI songs, mixing/mastering services, automated day trading, 'information arbitrage'.
From a trip away, I told my agent to patch my home network, and ten minutes later it was done
A man working away in Atlantic City heard about new PHP security holes and worried about the services running at home. Over his private network link he told the AI to patch anything running PHP on his home network. Ten minutes later everything at home was patched.
My agent archived 57 of its 82 skills without asking. Two daily jobs broke.
Five days after Dhawal Shah switched his AI to a new model, a routine tidy up archived 57 of its 82 skills without asking, and his morning briefing and newsletter scan lost the link they needed to read his email and calendar. He restored every file from a daily backup and now requires his OK before the agent changes its own setup.
This one went wrong. See what happened before you try it.
My Dot messaged me about an old GitHub issue out of nowhere
An AI Dot messaged its owner on its own about a 3 year old GitHub issue from their time at Flipper, which had new developments. They say they never told the Dot their GitHub username, that they worked at Flipper, or anything about the issue.
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.