The AI finds my leads, writes the emails and sends them
He built an outreach setup last month. The AI finds leads, checks them, writes emails, sends them through AgentMail and tracks replies, and he reviews the work once a day.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,669 ideasOpus helped him make 3D sudoku puzzle books that now sell as a printed product
Made 3D sudoku books on paper (SUDOCUBE) with Opus, which came up with the algorithm and extended his Kakuro codebase; books exist as a product.
An agent scans job boards every morning and his interview pipeline stays full
Agent reviews LinkedIn every morning, cross-references levels.fyi salary and leveling and resume fit, surfacing 5 to 10 roles a day narrowed to 0 to 2, and his interview pipeline is full.
Meeting transcripts become Slack recaps, and the AI offers to take his tasks on
His meetings are recorded with Fireflies. On a set routine, the AI takes each transcript and posts a Slack recap to everyone who was in the meeting, with the action items and who owns each one. A second routine scans his meetings for tasks that fall to him and works out which ones the AI could do instead, then offers to run them in separate sessions.
I built a live web app for a local business in one sitting
She pulled 50 local business leads for $0.44 and used AI to pick the ones with good reviews and a weak web presence. Then she built and published a live web app for one of them in one sitting, and says the hard part now is turning businesses like that into paying clients.
Read every job advert, tailor my CV and apply with my approval
A builder created JobAgent in an AI app: over a 13-week UK test it read and scored 8,585 job adverts against one tester's career record, wrote 481 tailored CVs and submitted 258 human-approved applications. The run produced 8 interviews and 3 offers — roughly one interview per 32 applications.
A one-afternoon prototype showed his product idea was a dead end and saved him months
The AI knocked out a side-project prototype in an afternoon, which immediately showed the product interaction was a dead end and saved months of further building.
This only partly worked. Worth knowing before you try it.
The AI built me a copy of a $100K a year work service
He used AI to build a fully working proof of concept of a service his workplace uses, in 10 minutes and $15 of tokens. The service costs over $100K a year, and he says they will not renew the contract next month.
$100,000a year
His AI skill turns plans into a Jira epic with a ticket per milestone
The AI skill plan-to-epic creates a Jira epic and a ticket per milestone, used to persist agent context and to show his work.
An AI routine reads his app's errors daily and posts a plain digest to the team chat
An AI routine with only Slack and Sentry MCP access reads Sentry errors, compares them to the app source, and posts a daily digest to Slack; reports very accurate.
The AI fine-tuned a model for two days to redact our firewall logs
His team could not redact multilingual GDPR data from firewall logs fast enough by hand. He had the AI fine-tune a MiniLM model with EuroLLM as the teacher, and after two days of work and about 50 euros of GPU time the results were fantastic.
A team of agents made 300 commits and burned his weekly limit in 2.5 days
A team of Opus 5.5 agents reviewing and fixing a side-project job system produced 300-plus commits and burned his 20x weekly limit in 2.5 days.
This only partly worked. Worth knowing before you try it.
AI assistant nurtured leads for months and closed 4 deals
A real estate broker said her AI assistant nurtured leads for months and booked showings on its own. She closed 4 deals with buyers she never spoke to until the showing.
An agent argued his commercial dispute for him, and won
Agent acted as a dogged advocate in a commercial dispute and won it.
Runs the AI as an Instagram business sidekick: reads insights, publishes posts/reels, spies
An Instagram business operator uses AI as a sidekick: reading insights (reach, audience hours, why a reel flopped), publishing posts/reels/stories with drafted captions, competitive intelligence on rival accounts, scanning comments for discount-code/restock/shipping questions to hand over as warm leads, plus a scheduled daily report on what people say in the niche's comments.
Interrogate my launch-week sales through AI and find the waitlist effect
An outdoor-gear store owner questions his campaign and sales data conversationally through AI, connected by MCP to his email platform - no prepared reports. Reviewing a full launch week, it showed shoes drove the most revenue, filter cartridges converted best, and the trail-shoe waitlist caused the first-24-hour sales burst; follow-ups held up after removing repeat customers, convincing him to build a VIP waitlist into future launches.
Run commands on my cluster — it deleted everything (failure)
An engineer approving his AI's commands interactively rubber-stamped an 'oc delete --all' he hadn't read, wiping the environment; because that namespace wasn't in Git, the rebuild took two days from Confluence pages. Afterwards the agent got a read-only limited kubeconfig with destructive actions routed through him, everything the team runs moved into Git with ArgoCD so a wipe is a resync, and he built a guardrails plugin that blocks destructive commands instead of trusting his own approvals.
This one went wrong. See what happened before you try it.
The AI made a spreadsheet of a 500 object Salesforce schema in five minutes
Asked at the last minute for a spreadsheet of a complex Salesforce setup, he had the AI build it. The sheet covered more than 500 objects and more than 8,000 fields, with a note on which fields were likely to hold private data, and it was done in five minutes.
Made $350 selling a digital template pack that the AI drafted, illustrated and
Merphy made $350 from a digital template pack: The AI drafted the copy, generated the images and wrote the listing.
$350
The AI added screenshot support to his presentation tool in under 5 minutes
The AI added programmatic PowerPoint screenshot support to his markdown-pptx tool in under 5 minutes.
The AI cuts his videos by editing the subtitles, and the edit comes out right
The AI cuts his video in DaVinci Resolve by editing a subtitle export with IntelliScript; Resolve then produces the cut version; works well.
The AI drafted a week of Instagram captions but stalled — it couldn't schedule or add images
In Runable's hands-on test of five small-business tasks, the AI drafted a week of Instagram captions but stalled: it could not schedule the posts or generate images, leaving the owner-side job unfinished.
This one went wrong. See what happened before you try it.
AI crew built a whole audio tour business from one idea
The creator had a business idea and a crew of AI agents built the entire Redd Walks platform, including the website, the iOS and Android apps, SEO, outreach and tracking, totalling 643 pages with real payments and checkout. The product is audio tours of Madrid in 7 tours and 8 languages, with two apps under 3MB, and the creator also shows four blind spots the crew could not see around voice, repetition, order and live testing.
The AI found why we were bouncing our own active SMS clickers
His company's system was bouncing active SMS clickers who threw too many 30003 errors. The AI Ultracode found the cause, and the fix means the sunsetting code now ignores active clickers.
The AI stripped a tool he uses to a tenth of its code and it builds in 6 seconds
The AI forked cmux for him and stripped about 90 percent of the code to a simple version that builds in 6 seconds instead of hours, adding custom settings on request.
The company behind my vinyl plotter died, so I had an agent rebuild its software and added the features I always wanted
The company that made his vinyl plotter no longer exists, and its basic software needs an online check in that no longer works, even though the plotter itself is fine. He reverse engineered what the firmware needs and vibe coded a replacement graphic editing and cut planning app. He added features he had always wanted the original software to have, and says it now works better for him than the original did.
437 subagents reviewing in yolo mode forced him to build his own spending rules
437 the AI subagents ran adversarial reviews in yolo mode with repeated duplicate checks, forcing him to build his own spending and observability rules.
This one went wrong. See what happened before you try it.
Listed half a dozen items on Facebook Marketplace in minutes from a
Someone lists ~6 Marketplace items in minutes: take a picture, name price and condition, the AI does the rest.
Opus runs his email, his cancellation numbers and his bug fixes
Opus handles most of his email work, runs analytics for every cancellation on his software, interprets A/B tests automatically, fixes bugs automatically and monitors competitors.
I built a clients whole SaaS on my own in three months, with AI writing the code
Working alone from June to September, he built a multi-tenant SaaS for a client that is now in pilot. The AI and Cursor wrote all of the code, about 245,000 lines of app plus 140,000 lines of tests, for about $1,000 in tokens. Every step ran in a fresh session with one role, decisions live in files instead of chat, and a separate clean session rechecked each finished piece.
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.