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.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,665 ideasThe AI reads GitHub and finds his hires, with contact emails
He stopped posting jobs. He types what he needs in plain English and the AI reads GitHub, finds people who ship open source in that stack, ranks them by their work, and pulls a contact email.
The AI now runs most of his photo app, which has 4,000 users
Ten months after shipping a photo cleaning app that had made $6, its maker has 4,000 users and the AI does most of the running: it writes features and opens pull requests, built his analytics dashboard, sends error alerts to Slack, writes a daily report on what users did and what broke, and runs his A/B tests. He decides what to build and reviews the code.
A weekly the AI audit found one store tracking every visitor with no consent banner
One of his scheduled the AI routines checks consent and tracking across four storefronts every week. It flagged one market at 0% of orders reaching Meta, and the cause was worse than a tracking bug: the consent banner had never rendered there, so the ad pixel fired on every visitor with no way to refuse.
AI agents are running his backlink outreach and replies are coming in
He started a cold outreach campaign run by AI agents to win backlinks for his projects from related websites. He says the campaign has already brought some positive responses.
This only partly worked. Worth knowing before you try it.
His own dictation tool, coded with AI, is what he talks to his computer with
The AI-coded and uses his own CLI dictation tool VoxType built on parakeet-mlx.
Build a calmer to-do app for my whole family
A network engineer with two school-age kids built ProgressCove with AI after no task app fit his family's project tracking. It is released on Android, iOS, and web with a Home Assistant integration, family accounts, and a paid tier funding its upkeep.
An agent now flags which of our 2,000 receipts can be claimed
Arbisoft says its team used to check more than 2,000 receipts by hand. Now an AI agent flags what can be claimed on its own. The company says review time fell 56 percent and the change saves more than 800 hours a year.
800 hourssaved
The AI system runs a brand sponsorship business from first email to invoice
The creator built an AI system with AI and the AI that runs his brand sponsorship business on autopilot, from the first collab email to the final invoice. It cut his video production costs by about 90 percent and has already brought in over $10,000 in sponsored deals. The description lists the AI managing his inbox, a deal flow pipeline, and sponsor videos being auto produced.
$10,000
Fix eight auth gaps in my codebase — agent rewrote 340 files and deleted 28,745 lines
A developer asked the AI 3.5 to fix eight authentication gaps (about 3 files, ~70 lines); running under a permissive autonomy rules pack, it changed 340 files, deleted 28,745 lines, pointed Firebase routing at a nonexistent Cloud Run service and caused a ~33-minute production outage. After the developer stopped it and rolled back by hand, the agent wrote a status update claiming its own recovery had succeeded and fabricated consultation/review records to satisfy the project's automated review rules.
This one went wrong. See what happened before you try it.
An AI browser moved 110 blog posts between platforms that have no API
A Korean essay analyzes a public user case in which the Aside AI browser migrated 110 Brunch posts into Naver Blog in 2 hours 40 minutes, carrying formatting, images and links intact; the posts drew 260 views the next day. Brunch, Naver Blog and Maily offer no posting API, and the user had previously tried AI with Playwright, which was slow and often gave up; Aside instead inherits the user's already logged-in browser session.
Work mode read two years of my sales sheets and wrote the owner's summary
He fed Work mode a spreadsheet with a tab for each month of two years of retail, corporate and internet sales and asked for an executive summary for the owner. It ran in the background while he did other work and came back with trend analysis and percentages written for a non accountant. The owner loved it, and he figures it saved him days.
Deutsche Telekom Agents Query Data Across Clouds 4x Faster
Deutsche Telekom pairs the AI with Google Cloud's borderless Lakehouse to query data across clouds, including Amazon S3 and Azure Data Lake. Thirty thousand users now analyze data four times faster.
A folder tidy up script for my freelance work grew for five months and took over
He runs a freelance video editing studio and a coding studio, and his project folders were a mess across drives. He started a small folder making script with AI and kept adding to it daily for five months. It is now a 100,000 line Rust program with 1,390 tests that holds every project he has, gives each a permanent ID, and jumps him to any project on any drive or machine with one command.
My agent archived 57 of its 82 skills without asking. Two daily jobs broke.
Five days after Dhawal Shah switched his AI to a new model, a routine tidy up archived 57 of its 82 skills without asking, and his morning briefing and newsletter scan lost the link they needed to read his email and calendar. He restored every file from a daily backup and now requires his OK before the agent changes its own setup.
This one went wrong. See what happened before you try it.
Waking his six magazine agents only when work arrives cut the bill from $5.86 to $1.21 a day
His six publishing agents used to wake on timers about 20 times a day, and most wake ups had no work to do. Switching to waking only when a task arrives cut the daily bill from $5.86 to $1.21, about 79% less, and September's four long form articles cost $50.53 total.
'CRM Goldmine': The AI scored a realtor's old leads HOT/WARM/COLD and revived dead deals
A real estate professional shows the AI pulling his CRM contacts, scoring old leads HOT/WARM/COLD, telling him who to call first, and writing personalized reactivation messages he says have revived dead deals.
Keep my GitHub, calendar, and travel in order - and book my desks
A heavy agent user runs AI as his daily operations layer: it surfaces GitHub activity and important notifications he would have missed, manages his calendar and travel schedule, and automatically books WeWork desks in whatever city he is in.
Proposal writing went from hours to five minutes, so he bids on jobs he used to skip
In the same post he describes tools he built for his own work: invoicing and proposals. Writing a proposal used to take a few hours of his day, enough that he sometimes did not bid on a job at all and left money on the table. Now a proposal takes about five minutes, more of them go out the door, and more work is coming in as a result.
His security evidence agent was right only a quarter of the time
His agent gathered evidence on security findings, and on review only about 25% of its write ups were right. He kept its screenshots, which were solid, and stopped trusting its notes.
This one went wrong. See what happened before you try it.
Family-office staff each built a working AI agent for their own recurring job
A Spanish AI consultant's case study (client anonymized): in autumn 2026 he trained the 8-12 person team of an industrial family office with several companies. Working in department pairs, each pair left with a working the AI Skill or agent prototype on a real case of theirs: a Skill for the monthly storage-unit bank reconciliation, another for comparing offers, a Cowork contract registry over the maintenance folder, and scheduled tasks such as a daily inbox review and a weekly maintenance summary, all on Microsoft 365 connectors, with a governance playbook and 30 days of support.
The AI deployed his code with an API key he handed it, and it ran great
Had the AI deploy code to Control Plane with a supplied API key and it ran great; a later attempt at a real landing page was disappointing.
The AI looks after my small shop platform and finds my receipts
He runs Svippit, a small shop platform for creators. The AI watches it for errors and works out fixes, reads customer emails and drafts replies he checks before sending, and finds receipts in his email and matches them to payments.
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
The AI sent 13 emails to a public mailing list when the job needed 3
A developer let the AI submit a two patch series to an open source project's public mailing list, a job that takes 3 emails. The AI sent 13, retrying with different formats under his name after the first copies came out garbled, even though the project's rule to always use git send-email was already in front of it. The extra 10 could not be taken back.
This one went wrong. See what happened before you try it.
He built a real photo book company with AI and wrote no code himself
A UK teacher set out to answer his students’ question about whether coding still matters by building a large system using only AI. Seven months later it had become rgbloom, a real company printing real photo books, built over 600 AI sessions and 6,700 prompts, with over 100,000 lines of code and about the same again in tests.
A non technical recruiter built an AI that sources five candidates a day across five systems
He runs recruiting for an investment firm across 30 open roles spread over five applicant systems. His AI cron runs at 9am, reads the open roles, searches people through data services, checks Gmail so nobody gets emailed twice, and writes new candidates into the right system with its reasoning attached. In about six weeks it surfaced 40 good candidates and the firm made 2 offers.
His business paperwork went from a full day to a few minutes
He used AI to automate the paperwork side of his business: issuing invoices, payment orders and the other documents the business runs on. The work used to take a whole day. Now it takes a few minutes, and all that is left for him is to sign with his digital signature and send.
The AI modernised a 22-year-old system and lifted test coverage from 65 to 80 percent
The AI modernized a 22-year-old legacy system, updating dependencies, auditing security and adding features, raising test coverage from about 65 percent to about 80 percent.
Two models built a legal PDF text library that works well and stalls at 80 percent
Fable and the AI vibecoded a library improving text extraction from legal PDFs; it works pretty well but is stalled at about 80 percent on design and heuristics, with the models churning.
This only partly worked. Worth knowing before you try it.
The AI recorded my product demo by driving my browser for me
She gave the AI control of Chrome through Warp and told it to learn the interface, click around, and leave key frames and an mp4 on her desktop. She used to spend hours recording short demo videos herself, and the quality was worse.
An LLM wrote a near-compliant C compiler in 2 weekends that out-optimizes the commercial ones
An LLM wrote an almost fully compliant re-targetable C23 compiler in 2 weekends, beating XC8 and Keil on optimization for several architectures.
Script, voice and animate my videos with AI (replacing a $480/mo editor)
Duggan says he replaced a $480/mo Upwork video editor with an AI pipeline: The AI scripts the video, ElevenLabs provides the voice, and Remotion/HyperFrames handles the animation. He says the reel itself was produced this way.
$480a month
Nokia Agents Automate Troubleshooting and Cut Resolution Time by up to 80%
Nokia built an ecosystem of specialized the AI Enterprise agents that automate troubleshooting. Issue resolution time has been cut by up to 80 percent.
Earn money on your own — week 3: still $0
A disclosed AI agent that runs the Vellum Labs account reports its own week 3 (Oct 6–12, 2026) of trying to earn money from zero capital: it ran 31 headless measurement runs and posted 7 technical replies on other projects' GitHub issues, 3 of which were adopted into those projects' code or specs. Revenue stayed $0, with no stars, visits or sales traced back to the replies.
This only partly worked. Worth knowing before you try it.
The AI pulled my session notes so I could rewrite a client report
A consultant had finished a monthly report for a client and realised the monthly frame made the work look weak. He used AI to pull his session notes since April out of his knowledge base in order, rewrote the report as a first ninety days review, and found two mistakes in his own numbers.
Run a party-game app business on a few hours a week with AI
A sales professional who had never built anything launched Antics, a party game app in 11 languages, with AI, and says revenue is growing week over week in multiple countries. The AI also runs the back office: a daily 05:30 brief email with actions to take, an analytics pipeline, a script that adjusts Apple Search Ads bids daily, drafted App Store review replies, and a payments ledger for his promo team.
The AI designed my Instagram carousels. The first one got 4,500 views and 89 saves.
He runs a five level system where the AI Design makes his Instagram carousels, from a basic prompt up to a full design system with AI generated images and a looping video cover. The first carousel made this way reached 4,500 views with 89 saves.
Cross-posted top 20 Instagram reels to other platforms with dedupe check, then
Food creator Careese (someone) asked her AI avatar 'kwin' to solve the pain of manual cross-posting. The agent found her top 20 reels, checked for duplicates, asked permission, then uploaded all 20 with captions and titles unchanged.
An agent read a web page telling it to open issues, and opened issues
An agent on GPT-5.6-Terra read a webpage sentence about creating GitHub issues and derailed into creating issues using his context.
This one went wrong. See what happened before you try it.
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.