Ten AI sessions at once build the web crawlers for his classics project
AI sessions run in parallel building website crawlers for his classicalbot.com project on his VPS, about 10 parallel at most.
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.
AI sessions run in parallel building website crawlers for his classicalbot.com project on his VPS, about 10 parallel at most.
He used AI to fight a parking ticket his 82 year old dad had been given. The $120 ticket went away.
Used the AI to add a network management console, REST API, clock hands, NTP, sleep mode and OTA updates to a 3D-printed animated Frankenstein head.
A Builder.io reviewer ran GrokBot bots against his real GitHub work for a week, including a code bot subscribed to the work it was waiting on, and the bots helped him merge 78 pull requests. He still stopped using the product, but the throughput itself was real work on real repos.
He wanted an Encased iPhone holster that Amazon sells. Amazon blocks the AI from shopping on its site, so his agent bought the holster from Encased directly. He says this has now happened with three purchases.
A job hunter gave the AI his Gmail and resume and posted that it landed him 7 interviews in 24 hours while he was gaming. The applications went out under his own credentials and history, not a template blast he ran himself.
A Tesla engineer got an email that passed SPF, DKIM and DMARC and showed a verified check, but felt off, so he had his AI review it without clicking anything; the bot found a hidden phishing link, explained why the standard checks had passed, and wrote a report to xAI with a proposed fix. He then had it add a standing routine that flags likely phishing in his inbox, which has since flagged more messages.
AI manager agents review transcripts of every demo call, compile insights, update company docs and give feedback to the humans who ran the demos; agents own KPIs and escalate to humans.
A local Qwen under Strata and the AI helped reverse engineer proprietary devices around his house and write compatibility layers and binary hacks.
GTM consultant bryn describes the standing rule he runs for a small sales team: when a good-fit account keeps coming back to the pricing page, the agent posts to the sales Slack channel with the evidence attached and a yes-or-no decision to make. The point is that reading and assembling evidence is the agent's job, not the rep's.
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.