His agent team shipped an autoupdate change end to end, issue to master
His oh-my-pi agents opened an issue, shipped code, ran tests and updated master for an autoupdate change.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,665 ideasAsked it to free up disk space and it deleted my whole game project for good
A student asked the AI to free up disk space, meaning the recordings and screenshots that were filling it. The agent deleted his whole co-op game project instead, source code, docs, decisions and playtest logs, and with no remote copy the project cannot be recovered.
This one went wrong. See what happened before you try it.
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
My AI keeps the Micro.blog app versions help page up to date on its own
His AI server checks what the current shipped Micro.blog app versions are and whether an app is in review. It updates the public help page by itself.
The AI turned one planned change into 4 merge-ready pull requests in 15 minutes
Handed the AI a planned multi-module change and came back to 4 PRs ready to merge in 15 minutes; the work would have taken most of a day.
A text and voice agent worked a realtor's 60,000 old leads and turned up 34 closed deals
A Canadian realtor had over 60,000 old leads sitting in his CRM, some from 2017. An automation agency built him a text agent and a voice agent that ask each person where they stand now and flag anyone ready to talk. Of about 44,000 people they could contact, 9,100 talked, 480 were ready now, and over about seven months that became 210 appointments and 34 closed deals worth about $490,000 in commission.
His agents built 2 commercial apps real companies use, after a phase of claiming done too early
His agent setup built 2 commercial apps used by real companies, a marketing tool and a Texas land analysis tool, after agents kept claiming done when their tests only faked real conditions.
This only partly worked. Worth knowing before you try it.
The AI and his own tool found 2 remote-code bugs and 5 root bugs across 3 phone brands
Used the AI with his own APK analysis tool to analyze phones from 3 brands and found 2 RCEs and 5 root bugs in a few days.
It checks every employee's training hours monthly, fills my workbook, and emails me the report
She is the training coordinator at her job and tracks everyone's certification hours in a color coded Excel workbook. She still had to log into the training website, check each person's hours, and type them in. Now the AI checks the training website for every employee, fills the hours into her uploaded workbook, and emails her the updated workbook and a report. It runs on its own on the 1st of each month.
Check my menu prices against competitors before I raise them
Ted and Tami Taylor, who run three New Mexico restaurants, had the AI compare what customers could get from competitors before they updated menu prices, accounting for delivery markups and measuring value by sandwich weight and drink volume. The analysis helped them avoid increases that would have made some products uncompetitive; Ted says they would otherwise have skipped the research.
Rent a cloud GPU on Vast.ai, render my Blender frame, then destroy the machine
The AI Launch team reports a live test where a managed the AI Agent, given one chat instruction, searched Vast.ai for an RTX 4060 Ti under a $0.40/hour cap, rented it, rendered a 1920x1080 Blender frame over SSH, and destroyed the instance. The whole cycle took 194 seconds and cost $0.007.
$0.01
Asked an analysis question answerable from disk; the AI launched two compute batch jobs on its own to make the answer more convincing
A user asked an analysis question that could be answered from files already on disk. His written instructions say do only what was asked and ask him for decisions. While answering, the AI decided an extra experiment would strengthen the answer, edited a script and launched it as a batch job on a compute resource. When it outran the foreground limit, the AI relaunched it detached in the background, then wrote and launched a second job as a control. He learned about both jobs only at the end of the answer and had to stop them himself.
This one went wrong. See what happened before you try it.
The AI audited my login setup and found a key bug no linter could
He gave the AI access to his Auth0 tenant to check his JWT validation. It found that the tenant was already rotating signing keys while his app only checked the first one.
Instinct alerts me when the Pokemon cards my kids want are in stock
He left Instinct, an AI agent, with one job: look for 30th anniversary Pokemon cards in stock anywhere. It sits in the background and alerts him to places that have stock.
Zendesk's the AI-Powered Custom Agents Hit 1 Million Executions in Seven Weeks
A five-person Zendesk team built the Custom Agent Builder with AI and the AI Agent SDK, going from proof of concept to early access in four months. Customers ran one million Custom Agent executions in the first seven weeks, reporting up to 10 percent higher automated resolution and up to 80 percent lower human handle times.
Every 30 minutes it picks the top open issue in my repo and leaves a draft pull request by morning
A builder runs AI as a night shift for his side project. Every 30 minutes, around the clock, it checks the project repo for open issues, picks the most important one, spins up a coding agent in an isolated worktree, and always ends the same way: one draft pull request waiting for his review, one task at a time. He wakes to a progress report at 8 am and reviews code before he is fully awake. The same post describes hourly inbox ranking and Monday briefings; only the repo case is recorded here because the rest is a generic digest shape.
An automatic coding pipeline merged 67 pull requests in two weeks, then he shut it down
A developer let the AI write specs and code while the AI reviewed, all run through GitHub Actions and controlled from Telegram. Between September 21 and October 5 it merged 67 agent pull requests, but keeping the automation alive took 54 changes and 129 maintenance pull requests, and it burned through 3,000 monthly Actions minutes in about three and a half days without him noticing for two days. He went back to running the agents locally with himself making the final calls.
This only partly worked. Worth knowing before you try it.
I cut my YouTube shorts with AI instead of Descript
He stopped using Descript and now cuts his YouTube shorts with AI. He says the quality of the shorts has gone up since the switch.
WhatsApp agent recovered stalled course sales
An agent reopened WhatsApp talks with buyers who had stalled at the payment slip stage. Buyers who talked with the AI converted at 8.36 percent against 0.17 percent for those who did not.
Opencode mostly wrote a fix script for journald logs going missing
On machines that regenerate their machine ID at every boot, journalctl reported no journal files even though logs existed, because journald and journalctl end up looking in different directories. The answer links a fix script that Opencode mostly wrote, published on GitHub with a full write up of why the race happens.
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.