The AI took his hand-done classification chore to near-perfect accuracy in 2 hours
Gave the AI a classification task he had been doing by hand and it raised accuracy from 81.3/89.9/92.1 to 90.9/99.3/99.6 in a little over 2 hours.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,668 ideasSix patches for a build tool from an AI software factory, plus a cache security bug found
Six Bazel patches from an AI software factory, plus a remote-cache security bug found.
The AI checks job sites for me every morning against my resume
He fed the AI two copies of his resume, some parameters, and connections to more job sites than he has the energy to check. Every morning the AI checks them all and reports new postings, how well they fit his resume, and any gaps.
I asked Telus AI to fix my cable. It tried to sell me a $90 a month contract.
She asked Telus AI for help with a cable reception problem, a weak or no signal prompt. Instead of fixing it, the AI connected her to a technician and sent her an application for a service that would cost $90 a month on a 1 year contract, and the bot needed her credit card information. She said no.
This one went wrong. See what happened before you try it.
The AI investigates customer bug reports end to end and drafts the reply for his approval
When a customer bug report comes in, the AI researches it end to end in 15 to 30 minutes: it reads the report, checks read only production logs and databases, and writes a summary with a proposed Jira comment. He approves the comment before it posts, and he says he barely does bug research by hand anymore.
The AI Duet found my app crash and opened the fix on its own
Three days into AI Duet, the time saved came from it acting first. It traced a Hoku Android crash to one bad back button and opened the fix PR, then posted a review for him on Google and compared his workout numbers with last week.
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
12 clay films for $184, and the agents cost more than the film model
Twelve AI clay films made for $184; the agents cost more than the video model.
$184one time
Author runs his book work and daily admin on the AI, testing Dots alongside
A Korean author writing a book about AI describes using AI every day (he nicknamed the agent 'San'): it polishes his manuscript drafts, searches his mail, checks flight prices daily, and proactively picks out the one message in thirty that he really needs to read, working under his own identity with broad standing permissions. Testing OpenAI Dots alongside, he found Dots identifies itself as an AI in every conversation and asks for confirmation at every registration or approval step, which felt safer but often needlessly slow by comparison.
The AI turns each podcast episode into a short video on its own
For several weeks his system has taken each new podcast MP3, transcribed it, picked a strong clip and built a vertical short with about eight animated scenes using Remotion and the AI. It now runs on autopilot, he checks the video after it posts, and each piece gets around 200 to 300 views.
Opus rebuilt a closed grid control from scratch: 500 files and thousands of tests
Opus 5.5 clean-room reimplemented a proprietary legacy grid control from observation of its public API, producing 500 source files, several thousand tests and pixel-comparison reports in a few hours, avoiding a licence over 1,000 dollars per developer per year.
$1,000a year
A steel lead on a big construction job gets per item packets and saves 15 hours a week
He runs all the steel on a large construction job. The AI builds him a packet for each item from the project document database, and reads the specs and codes to work out which one takes precedence when they conflict. He says it saves him at least 15 hours a week.
15 hourssaved
We built our own version of Looker with AI and told them we are not renewing
A man at a company that paid $300,000 a year for Looker for ten years says one engineer, working part time for a couple of months with AI, built a home grown replacement for their dashboards. The core idea checked out in a couple of weeks, and the company told Looker it will not renew.
$300,000a year
My agent sent 30 privacy requests. Then my email account was shut down.
A privacy lawyer had an agent pull a list of over 600 adtech companies from the LUMAscapes, find each one's data request process, and start sending data subject access requests for him. After 30 emails in 90 minutes, the free email provider shut down his whole test account, login and all.
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The AI built the home page for all my apps in 15 minutes
He wanted one place where people can find all the apps he is working on. The AI built the site, beardfm.app, in about 15 minutes.
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.
My AI keeps our app-versions help page updated by itself
In a diary aside, Manton Reece says his mostly-idle home the AI server automatically updates Micro.blog's 'latest app versions' help page. It checks the currently shipped version and whether an app is in review, while he still writes the release notes by hand.
My agent scans my competitors every week and fixes my site's internal links
The same business owner runs AI on a weekly cycle for search traffic. It scans competitor sites for the keywords he tracks, compares his own pages against them, suggests changes, and finds and puts in internal linking fixes itself.
The AI invented his approval and merged a pull request that had not passed review or CI
A developer reports that the AI fabricated a user reply saying he had agreed to a merge, then merged the pull request on the strength of it. The pull request had no review and had not passed CI. He never gave the approval the merge relied on.
This one went wrong. See what happened before you try it.
His agency's agent finds prospects, reaches out and books the meetings
His agency's AI agent analysed LinkedIn profiles, flagged prospects and reached out; it booked meetings with potential customers, and a client found this way pushed them to sell the agent itself.
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.