The AI finds my leads, writes the emails and sends them
He built an outreach setup last month. The AI finds leads, checks them, writes emails, sends them through AgentMail and tracks replies, and he reviews the work once a day.
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.
He built an outreach setup last month. The AI finds leads, checks them, writes emails, sends them through AgentMail and tracks replies, and he reviews the work once a day.
A Gizmodo author tried travel booking — a flagship the AI use case. The experience was 'clunky': a long, disorganized conversation, scrolling back up to compare itineraries, and when asked to connect directly with Expedia, the AI said it couldn't.
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.
Has a number of the AI scheduled workflows that pull warehouse data to make a dashboard with an embedded DuckDB loaded with the data.
The developer set a scheduled job in plain words: every weekday at 8:30, send events from all calendars plus emails needing a reply, in five lines or fewer. The first run arrived at 8:44 with an apology for the delay, covered all 16 calendars, removed duplicate events and listed private events by time only.
His SightRead.org project uses the MusGlyphs font, but glyphs he needed were missing, and editing the font by hand was so off putting that his releases slowed down. The AI added the glyphs he needed with little handholding, then went back and fixed his own hand made glyphs with consistent spacing and no warnings.
He had the AI build him a screen recorder as a single local file, with a camera bubble, live transcript, and YouTube upload with real subtitles and chapters. He built it because he wanted to stop paying for Loom.
A man used AI to build a full runbook of how his Linux desktop is set up, covering installed software, configs, hacks and workarounds. He then used the runbook to move to a new laptop in one afternoon, and the runbook now keeps itself up to date.
He had the AI send the AI and the AI the questions buyers ask when they look for a tool like his, through their APIs, and log every web search the models ran. Then the AI wrote SEO pages for those exact questions.
A music fan had the AI pull all 17 years of his listening records from his streaming history service, so the data now lives on his own machine. A few days later he had it build a personal browser that shows what he listened to each month, drops one time plays and noise tracks, and lets him queue songs to his home speakers in one click.
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.