A compiler built mostly by agents over 6 months, at over a million dollars of AI credits
Built the Gea Stack compiler mostly with agents (The AI and Opus, the AI) over 6 months, burning more than a million dollars in AI credits.
$1,000,000one time
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasField my land-sale inquiries — it offered buyers $1
Los Angeles land seller James Frakes set his AI 'Kermit' to answer Facebook Marketplace inquiries about his vacant parcels, listed between $20,000 and $100,000. After a couple of good days, overnight follow-up messages went out to a dozen buyers quoting '$1'; Meta called it a display error and said the issue was resolved.
This one went wrong. See what happened before you try it.
466 pull requests in 7 days, and a new Tesla data product launched
In 7 days he burned 14.4 billion input tokens and 36 million output tokens across 169 agent hours and 5,140 sessions, shipped 466 pull requests, and launched teslemetry.pro. A tool called Firstmate orchestrated the AI work.
Non-coder's agents write, illustrate and cross-post his shop blog for $0.16 a post
A Korean shop owner who quit his job to run his store built a two-month automation: he drops a one-line topic into a file and within about 20 seconds the system drafts the post, self-checks prices and banned words, generates four images, loads everything into the blog editor and waits for his one-word approval before publishing and cross-posting to Threads, Instagram and Facebook. Image cost is about $0.16 per post against $200 a month of AI subscriptions.
Two top models did a six-month project in a week: pipeline, test data and 1,000s of checks
Fable and GPT-5.6 at max effort did a task that would have been a near 6-month project in a week, building a data capture pipeline, a synthetic data baseline, and building and testing 100 classification model variants with near-SOTA results.
Scanned invoices in Drive get reconciled for billing errors and missing credits
His business scans every invoice into a Google Drive folder. The AI reconciles them there: checking they were billed correctly, that credits for returned goods actually arrived, and that there is no slippage. He says it is far faster than reconciling by hand.
An agent sets the prices on his Airbnbs and sends him a weekly report
Agent manages pricing on his Airbnbs with a large revenue boost and gives him a weekly performance report.
A daily Sonnet routine answers his routine email and blocks time for the rest
A daily routine on Sonnet reads his email, answers the routine messages from templates, and puts the rest on his todo list. When a task needs more than an hour, the routine blocks time for it on his calendar.
The AI ran my Google Ads analysis while I worked a pub shift
He worked a shift in a pub while the AI ran an analysis of his Google Ads account at the same time. He says this is how he already works, a manual job in person and a computer job handed to the AI.
My agent fixed my signup tracking. The new subscribers were bots.
Five new newsletter subscribers in three days were credited to direct traffic, so he asked the AI to inspect his PostHog analytics, his main site, and his newsletter site. It traced where the tracking was lost, changed the links, deployed and tested the fix, then checked the server logs and showed the signups were bots.
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.