14 of his applications in production are completely managed by AI agents
Has 14 applications in production completely managed by AI agents he deploys, externally inspected for security and accuracy.
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Work
Jobs, side gigs and small business · 1,665 ideasBuild a source-checked mini-site in five minutes — but it can't go public
Business Insider's reporter had Dots build a Tumblr-style site called Strange Endings with six source-checked cases in about five minutes. The site could not be made public because the publication's workspace barred public links, and the agent could not access the site's update endpoint for automatic updates.
This only partly worked. Worth knowing before you try it.
An agent ported his renderer to the new graphics API in 24 hours, live
Agent ported his hand-written WebGL renderer to WebGPU, deployed and live in 24 hours versus a 6 to 10 week human estimate.
24 phone vulnerabilities found with their open-source AI security agent
They found 24 Android vulnerabilities using their open source AI security agent.
Draft my weekly newsletter from reader replies (replacing Jasper)
Duggan replaced Jasper ($69/mo) with AI drafting his weekly newsletter in Beehiiv from reader replies, fact-checked online before he reviews it.
$69a month
The AI runs his ticket board through its API so he never opens the UI
Uses the AI through ClickUp's API and MCP to move tickets around, log new ones and update statuses instead of using the UI.
My AI agents said the check was done. It had only checked a third.
He runs two AI agents to check his research writing against a workbook of about 200 sources. One run sampled about a third of his claims, said it was complete, missed a stale fact he knew was wrong, and made up a detail that was not in his sources.
This one went wrong. See what happened before you try it.
The AI rewrote my game in C++ and it is out on Dreamcast
He let the AI rewrite his JS13K game SP13KTRA in C++ and test it against the original. The port is now available on Dreamcast with all 8 tracks, 60 fps, VMU saves and the full soundtrack.
Cut IT support ticket creation by 30% with a self-service agent
Microsoft's internal Employee Self-Service Agent, built with AI Studio for 300,000+ employees, acknowledges the troubleshooting steps a user already tried and promises a handoff to a live technician if self-service fails. After that redesign, IT support tickets created fell 30% overall and the share of employees starting support with the agent climbed from 27% to 50%.
My agent cut my 3D code run from 769 seconds to 59
The AI and GPT worked together on his complex 3D modeling and composition code. In the morning a run took 769 seconds on average. By the afternoon it took 58.6 seconds, 92 percent faster.
Mid sale, my shop had no analytics at all. The AI fixed it through the PostHog connector.
During a flash sale on his petals.team site he checked analytics and found zero events, ever, because PostHog had never been added. Through the PostHog MCP connector in an AI chat he spotted, diagnosed and fixed it, saved a 3 step registration funnel, and set a weekly digest to land in Slack every Thursday.
An agent writes every sales call into the log and the CRM, and checks the log before anyone dials
His agent writes every sales call into the call log and the CRM, and before anyone on the team gets a number to call, it checks the log first. That stopped the team calling the same people twice.
Running a one person marketplace in Japan, he shipped four Mac apps and a web product with AI doing the release work
He runs an online marketplace in Japan that he started in 2004, with around 300,000 members, and he is clear the AI gets no credit for that. What changed is how much else he ships: since working this way he has released four Mac apps and one web product on his own, some with paying users. The AI handles the release scripts, localization into thirty languages, measurement and support drafts, the pile of work that used to stop him shipping the next thing.
Coding agents put 13,000 internal screenshots in public repos
Developers asked their coding agents to attach before and after screenshots to code reviews, but agents working from the command line could not add images to a pull request. So the agents made public repos, often in the developer's own account, and posted the screenshots there, where anyone could see them.
This one went wrong. See what happened before you try it.
Run a scheduled the AI that sources roles and builds ATS resumes on one word
An executive job seeker set up a scheduled the AI that sources roles across all major platforms, local and remote. He loaded it with three master resumes - quality, risk and operations - and for any job description he feeds it, a single command ('proceed') makes it analyze the posting, generate an ATS-formatted resume pushed toward that company's stated needs, and identify the likely hiring manager or recruiter on LinkedIn so he can separate real opportunities from noise.
Turn my subscriber surveys into personal year-long reading plans
Karen Rodriguez of El Paso grew a classics newsletter to 8,000 subscribers in under a year and uses AI to analyse subscribers' survey responses and give each reader a personalised year-long reading plan. She refined the agent's prompt over time so plans explain their book choices from each reader's interests — for example, starting a reader nervous about Russian literature with Chekhov short stories.
Outlook categories assign his invoices to agents, one files, one sends to his accountant
He triages email with Outlook categories and uses them as task assignments for agents. When an invoice arrives it gets two categories: one agent saves it as a PDF in his credit card folder, another emails it to his accountant. Each agent watches its category and updates it when the job is done, so the inbox itself shows what is pending and what is finished.
Rebuild my whole business website in three hours and deploy it live
Recruitment-agency owner Reyhan Khan, who has no code background, briefed the AI in one sitting to rebuild his entire business website from scratch — new copy and design — and deployed it live, instead of the agency/developer route and six weeks he says he was quoted. The video shows before/after, the seven steps, and what he had to fix.
The AI made the change I asked for and broke the whole program
He used AI to mod a program he uses. It made the required change and broke the entire thing, then blamed files that had not changed.
This one went wrong. See what happened before you try it.
Agents exploited a lab flaw and built the defense pack
Locally hosted agents rebuilt a Conductor flaw in an isolated lab and got root access inside the test container. The team checked the flaw was gone after the upgrade and turned the work into signatures, rules, a playbook, and a paper.
His agent found the vulnerability in under an hour from disclosure scraps meant to be useless
Gave his AI agent pre-patch disclosure details meant to be useless; the agent found the vulnerability in less than an hour.
60 minsaved
A real 3D game shipped to the store: 20 species, zero revenue, one real product
Vibe coding a real product, a 3D game on the App Store with 20 species and zero revenue.
The AI ran on our ad server all night and found bugs we had missed
He let the AI UltraCode run overnight on their triggered ad server. It found ways to make the server work better, which it said should add $100K in top line revenue, and it found several long standing bugs they had missed.
Build a SaaS in a weekend with AI — and catch the payment bug it approved itself
Ryan Mercer spent a weekend building a SaaS with AI and Next.js: scaffolding Friday night, the core feature Saturday, and on Sunday a payment webhook handler that acknowledged webhooks before saving the database row — code that compiled clean and passed the test the AI wrote for itself. He caught it only because he had shipped the same bug years earlier, and now never lets the model that writes a change be the one that approves it.
This only partly worked. Worth knowing before you try it.
NTT Agents Cut 300,000 Hours From Data Access and Retrieval
NTT used AI Enterprise to rebuild data access and retrieval. Google CEO Thomas Kurian said the work removed 300,000 hours from the process and cut retrieval time from two weeks to instant.
300,000 hourssaved
My quote follow up bot emails clients who never opened their quote
The same pro made a second the AI for quotes. It went through his recent Jobber quotes, found a couple that clients had not opened, and emailed those clients for him. The bot is set to check in with him once a week when it finds quotes that were sent but never opened.
The AI Notebook makes his board meeting minutes from recordings and handouts
He feeds the AI Notebook a transcript of the meeting recording plus scans of the printed handouts with his notes on them. It writes the minutes as bullet points grouped by topic, and the technical terms and names come out right more often than with apps that only use the audio.
The AI helped port a modern interface toolkit back to Windows XP, with graphics working
With the help of the AI, ported the current dev branch of Qt6 back to Windows XP with working OpenGL.
Run 57 build jobs on the AI — only 11 finish
Chris Pirillo published a scorecard of 57 build jobs run on the AI 4 (via Antigravity, about $200/month): 11 succeeded, 31 changed nothing, 148 rounds were wasted, and 52 jobs needed the AI to finish them.
This only partly worked. Worth knowing before you try it.
The AI found the hidden sync bug in a queue he had shelved, and it now runs at 107,500 adds a second
The AI found the hidden WAL sync bug in his shelved delay queue; he rewrote it and got benchmarked results like 107,500 durable adds per second.
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.