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 · 1,665 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.
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.