The AI checked 163 co-author profiles for me and found no Mastodon links
He asked the AI to check a researcher's co-authors on ORCID for possible Mastodon links. The AI checked 163 co-authors, 120 of whom had ORCID profiles, and found none.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasThe AI scores new job posts against my CV and emails me the best ones
He kept finding good job matches days after they were posted, so he built a pipeline called SnapplAI. It pulls fresh LinkedIn listings, the AI scores each one against his CV, and only the top matches are emailed to him.
This only partly worked. Worth knowing before you try it.
A purchasing dashboard tracks his orders and chases vendors who do not confirm
He built a dashboard for his purchasing work: it tracks all his purchase orders, which ones are confirmed, which need changing to match confirmations, and the expected arrival times. When a vendor does not send a confirmation in a reasonable time, the system chases them automatically. He says his metrics are better and the job is less stressful.
Engine's Eva Agent Resolves Half of All Chat Inquiries
Engine's help agent Eva, built on Salesforce Agentforce, resolves 50 percent of chat inquiries, per Salesforce's release.
The AI built his courtroom video switcher app in 20 minutes
The AI in 20 minutes built him an Android app to find and control an ATEM Mini Pro over network, switch inputs, audio and fade, used for courtroom work.
20 minsaved
Built a working Kanban task-board app from a one-sentence prompt, with add/edit
In a three-agent comparison (The AI vs the AI dots vs the AI), the Build to Launch creator ran AI in the browser and asked for a Kanban app described in a single sentence. The app rendered and worked: cards could be added and edited.
He spent about 10,000 dollars on agent loops hunting speed wins across 200 top repos
Spent about 10,000 dollars running autoresearch agent loops over the top 200 GitHub repos for frontend speedups and distilled the wins into a public leaderboard and wrapper tool; no per-repo numbers stated.
$10,000
This only partly worked. Worth knowing before you try it.
Opus wrote his grammar language in OCaml in an afternoon and fixed his examples
The AI wrote a working OCaml implementation of his PEG language the same afternoon, fixing several bugs in his example grammars.
Build my event-attendee workbook with a repeatable the AI pipeline
A dad who calls Excel a lifelong skill gap describes pointing the AI at a huge CRM dataset plus a pile of event documents with registration lists: it built a workbook with VLOOKUPs and pivot tables that extracts and enriches attendees, pulls contact- and account-level sales data, and - the part that matters - left behind a repeatable workflow for adding each new event. Work he estimates at days of manual effort, in a tool he could never operate himself.
Analyze my interview recordings and research the people interviewing me
The same job seeker (Business Insider essay, via B17 News) asked permission to record interviews, then ran the notes through AI for sentiment analysis — where she hesitated, used filler words, or where the interviewer leaned in. She also built an AI skill that takes a pasted LinkedIn profile and finds genuine similarities with her own background; one shared cheese-club membership with a recruiter carried her further than any cover letter.
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.