He automated his Concur expense filing with AI and the AI
A man says he uses AI and the AI to automate filling out his Concur expense forms. The filing manages payment for the AI and the AI itself.
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Work
Jobs, side gigs and small business · 1,665 ideasOpus spent $25 and 30 minutes producing a refactor that collapsed to 4 lines
Opus spent about 30 minutes and 25 dollars in tokens producing a 9-file refactor that collapsed to a 4-line change, with no time benefit to him.
$25at stake
This one went wrong. See what happened before you try it.
An agent finds the best moments in his podcast episodes and cuts his clip hunt from hours to 20 minutes
His agent goes through each episode of his own podcast, pulls the timestamps of the best moments for clips, and drafts the social posts to go with them. Finding clips used to take 3 to 4 hours per episode and now takes about 20 minutes, and he approves and tweaks the picks.
The AI converted several thousand firewall rules into the global rulebase
Had the AI convert several thousand firewall rules to FortiManager global rules.
The AI routines run his two long projects every few hours, inside a hard spending cap
The AI Routines fire every few hours for two long-running projects; the AI decides the tasks itself and keeps OpenRouter spending within hard daily limits, doing other tasks after the cap.
Store wired an AI agent into live order data; daily support fell from 3+ hours to under 30 minutes
Order-tracking and returns questions made up roughly 60 to 70 percent of this store's support tickets, so they connected an AI agent directly to their Shopify order data so it pulls real tracking information and answers customers automatically. They report daily support time dropped from over 3 hours to under 30 minutes, and stress the difference was real order data rather than generic chatbot replies.
He told the AI to keep going. It emailed five researchers from his account.
A soil researcher had the AI search papers and read his draft files to turn a rejected article idea into a data driven study, and he kept replying please continue. The AI then used his connected email account to write to five researchers asking for their data, and the replies gave him a data set covering more than 50,000 sediment areas and moved the project forward.
This only partly worked. Worth knowing before you try it.
An LLM wrote tests against the kernel's own tables and built him a hardened kernel config tool
LLM wrote tests comparing his code to kernel syscall tables and wrote a tool tracing all kernel calls to generate a bare minimal hardened kernel config, saves him security review time.
Opus ported his video command builder to a modern stack and shipped version 2
The AI (Opus 5) ported his FFmpeg command builder tool from Vue2 and Bootstrap to Vite, React and Tailwind; it shipped as version 2.0.
The AI read 10,000 job postings against my resume and I got two offers
Fed up with scrolling LinkedIn and Indeed for internships, he built a tool that lets the AI pull live postings from more than 40 hiring systems and judge each one against his resume every night. Out of about 10,000 postings it picked 190 worth applying to, he applied, and he ended up with two offers.
The AI cleared dozens of his household annoyances and built two work apps besides
Used the AI to solve dozens of annoyances around the house and life and to develop two work apps, one a complete polished interactive web app he says he could not have completed alone.
The AI quietly renamed a Stripe webhook handler in my billing code
He let the AI run on its own for 40 minutes on a billing refactor. The changes looked clean, but it had quietly renamed a Stripe webhook handler, and he only caught it when he reviewed the work.
This only partly worked. Worth knowing before you try it.
Hitachi Agents Verify Field Work Photos Across 200 Use Cases
Hitachi built AI agents for more than 200 use cases in its global power and utilities business, including verifying photos of every tool and wire before and after a job. Frontline worker productivity rose 400 percent and safety improved.
The AI fixes my clients' bad print files and sends them back ready to print
He now uses AI for design work and for putting print plans together. It fixes the biggest problem in his work, clients sending poor quality files, and gives everything back neat and ready to print.
He built the accounting system his distribution business now runs on, with AI
A small distribution business owner disliked how the usual accounting and stock software fit his business, so he built his own with AI's agent mode: dozens of screens, tens of thousands of lines, and an end to end test that mirrors a real business day, receiving stock, making sales, updating inventory, closing the books. His scariest find was a silent failure: opened the wrong way, the app looked normal but could not save, so a full day of entries could have vanished. He caught it by testing, added a launcher check, and now makes the software prove every important feature works instead of asking the AI whether it does.
The AI resurfaced lapsed founder relationships from a year of Gmail
The author asked the AI to scan his Gmail for founders he had spoken with a year earlier but not recently; the AI surfaced several not contacted since last fall, and he is now reviewing their companies for follow-up.
The AI fixed my footer, then wrecked the spacing and sent a dead link
His work document had text overlapping in the footer, and the AI fixed that part. When he asked it to fix the spacing it had removed, it handed back a file link that went nowhere instead of the file.
This one went wrong. See what happened before you try it.
Log into Paychex and submit my payroll
A farm owner’s the AI logs into Paychex Flex, submits payroll, and then tells him what he owes after taxes. Payroll day is a bot run and a summary, not an afternoon in a portal.
The AI broke his team's own database guards and found the write hiding in a read-only call
Asked the AI to break his team's own Postgres MCP guards and it found pg_logical_emit_message, which writes to the WAL inside a read-only transaction, leading to a hardened replacement.
An LLM filled in four copies of an admin form from my notes
He spent about an hour getting an LLM to work out the fillable admin PDF he had been sent, then auto fill four copies from his Markdown notes. It took longer than filling them in by hand, but he would rather do it this way.
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.