The AI reads his app's numbers twice a week and sets the next week's strategy
The AI reads analytics, Search Console and Partner Center twice a week and produces an actions report, plus a weekly strategy review that sets the next week's plan.
A random mix from the whole library. Shuffle for a new set.
Work
Jobs, side gigs and small business · 1,693 ideasThe AI could not compare two documents for my job
On his boss’s suggestion he tried AI to compare two documents. It failed badly, and about 15 minutes later he was back at square one.
This one went wrong. See what happened before you try it.
Check my board reports with a Tone of Voice agent
Hiscox's Chief Underwriting Officer for London Market built an AI Studio 'Tone of Voice' agent that checks documents for on-brand, consistent language. He used it to help prepare two board reports and estimates it saved him six or seven hours, and versions of the agent have since spread to other senior executives and their assistants.
He set one GLM agent per file loose on his codebase and got 70 audit commits
Spawned a GLM sub-agent per file across a roughly 50-file codebase to audit coverage and inconsistencies, then had commits made per issue: 70 commits for about 30 minutes of his manual work.
The AI rebuilt his app as native phone apps overnight, smaller and instant to open
The AI worked about 6 hours overnight, inventoried a React Native app, and created working native Android and iOS versions, smaller and launching instantly.
The 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 looped on one prompt and burned $20 on my website
He tested the AI 4 Argon through the API to improve his language learning website, verbologic.com. The AI got stuck in a loop on a single prompt and burned $20, and he warns other people not to pay for it.
$20at stake
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The AI watches his pull requests and keeps fixing the build until they pass
The AI instructed to watch a PR and iterate on CI failures via an issue skill that completes GitHub issues and opens PRs, driven by a worktree script spawning AI sessions.
A WebForms app was ported to Blazor in about 48 hours for about 150 dollars of tokens
Ported a legacy .NET WebForms app to Blazor with GPT-5.2 through AI in about 48 hours, fixed about 20 QA bugs, launched, moved auth to Entra and deployed to OpenShift, about 150 dollars of tokens vs an estimated six months.
$150
A contracting firm's AI lead finder brought in a $120,000 bid and a full roster of subcontractors
His general contracting firm built an AI program that searches for signals, warms up emails and sends personal outreach to find work. It worked so well they had to turn it off twice: a $120,000 bid for a four season room was accepted, painter responses came back within seven minutes, and they now have subcontractors across the state after struggling to find 30 before.
A top model built his personal site, and he published what it got right and wrong
Opus 5.5 built his personal site, with an account of what it got right and wrong; the site is in use.
Grow my affiliate site across platforms — Pinterest killed the domain, Ko-fi unpublished us, Podbean froze the account
Peace Call's two-week log of running a HighLevel affiliate site with an AI (Oct 4-18) records a wall of platform rejections: Pinterest suspended the domain and denied the appeal on Oct 18, Ko-fi unpublished the page as SEO spam, Podbean froze the account, both Lemmy servers declined registration (Oct 16-17), Japanese Nostr relays refused the agent's US-based posts, and Reddit returns 403 to the agent's machine. The site's income after two weeks of multi-platform agent publishing: $0.
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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
Agent logged in and filed the firm EPF contribution itself
An audit partner runs his accounting firm on an agent platform wired to its own live data. In the session the agent pulls the credentials from a vault, logs into the KWSP i-Akaun portal, and submits the EPF contribution, with the partner reviewing the figures before payment.
The AI turned a client's art direction into a brand tool the whole team now uses
A designer treated the AI like a design engineer for his client Wordsmith AI. After 8 versions and more than 90 rounds of feedback, they shipped Draftboard, a live tool where anyone at the company can make on-brand images in a few clicks.
AI agents helped him win a Kaggle silver medal
AI agents helped him win a Kaggle silver medal, alongside ways the agents failed him (result stated in the post title itself).
His agent fleet built the project and filled the disk doing it; now it runs capped and watched
His agent fleet built a Rust project but crippled the machine filling the disk, forcing a cap of 5 workers and a dedicated resource monitor; the project was ended by rebuilding in Go.
This only partly worked. Worth knowing before you try it.
Clean my giant inbox by sender — trash only, never delete, undo everything
Dheeraj Sharma built an AI cleanup agent for decade-old Gmail inboxes like a reader's 130,000-message one, then ran it on his own 7,610-message mailbox in four gated stages: census, editable plan, dry run, apply. One approved run moved 2,896 newsletter and notification emails to Trash in 107 seconds (unread fell from 5,013 to 2,237), with deletion impossible by design and every change logged for a one-command undo.
A new blog feature, built by talking to an agent, now live
A new feature for his blog, built using his voice with an agent, now in use.
Every call's action items now go straight to my Gmail tasks
She connected Granola to the AI. Now the action items from every call go straight to her Gmail tasks.
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.
Run an overseas store for 72 hours and make $1,000
On October 1 a creator gave the AI his VPS, accounts and Korean course material with one goal: earn $1,000 from overseas customers in 72 hours. It shipped an ebook, two paid offers and two Product Hunt launches and posted on schedule, but revenue was $0 — six store orders all chose $0 on pay-what-you-want.
This one went wrong. See what happened before you try it.
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.
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.
Built an Instagram growth strategy: niche traction scan, competitor creator data, account
Adley Kinsman (verified, 1.5M followers) walked through three concrete the AI uses for Instagram growth: ask what's gaining traction in her niche and which audience pain points are unaddressed; pull creator data from her niche for content pillars and competitive angles; and point the AI at her own account to diagnose what's working/flopping and map a 30-60-90 day plan. She framed it as 'the ONLY AI you need to grow on Instagram.'
The AI files his bug reports, and his agent checks daily whether the fix landed
The AI files his detailed bug reports and his agent pulls the project's new changes daily to check whether his issue is fixed.
The AI wiped its own config folder four times, taking 19 live API tokens (failure)
The AI’s own processes silently wiped and recreated the user's entire ~/.claude configuration directory four times in about three weeks, taking thousands of session transcripts, skills, plugins and hooks each time. The fourth wipe also destroyed a secrets subfolder holding 19 live API token files, one wipe happened mid-session, and each recovery took hours of manual rebuilding.
This one went wrong. See what happened 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.
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.
Run a four-agent fleet on one laptop around the clock
One user runs four AI agents 24/7 on a 32GB Ubuntu laptop: a default PM agent on Feishu, plus dev, DevOps and content agents delegated between each other, with 5 MCP servers and 34 tools. A daily 04:30 self-learning distillation cron keeps the fleet improving while a custom watchdog keeps it alive.
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.