Creator someone ordered three items from clothing brand Plus44 while in Turkey in December 2024; the package could not clear customs for a tourist without a Turkish ID and was returned. After the promised refund never came and the 120-day chargeback window expired in April 2025, later emails went unanswered. He asked the AI for help: The AI identified the UK company (Plus 44 World Limited), cited Section 29 of the Consumer Rights Act 2015 and sent a strongly worded letter demanding the refund within 14 days or court action. Within two hours Plus44 issued the $478.39 refund. (Caption carries his AI referral code.)
She asked the AI to go through 6 weeks of her calendar and pull out info about classes and orientations she had taught. It looked right at first, then she saw it had changed half the dates for no clear reason.
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He built a home dashboard with AI that pulls a dozen sources into one wall screen for the whole family. It shows the shared calendar, weather warnings, solar and battery levels, car charge and bin days, and it only brings things up when they matter, like bins out tonight or a frost warning.
From the same day to day list, with the exact wording shared so others can copy it: every weekday at 11 am his AI checks AMD, Intel and Dell, and only pings him if one moves 5 percent or more or there is major news, staying silent otherwise. He presents it as the model for how he uses the agent: quiet ongoing jobs with a clear trigger, not a stream of updates.
An agentic harness for Sonnet 3.5 converted a medium-large vue-class-component framework to Vue 3 composition API, rescuing a personal project from software rot.
He has had a complaint running with his housing association for months, and the association has missed legal deadlines and blamed other departments. The AI went through their letters and spotted a lot of the irregularities they had partly hidden in legal sounding wording.
This only partly worked. Worth knowing before you try it.
Locally hosted agents rebuilt a Conductor flaw in an isolated lab and got root access inside the test container. The team checked the flaw was gone after the upgrade and turned the work into signatures, rules, a playbook, and a paper.
Pavuluri Gopikrishna had the AI build a photo-based calorie tracker, then cancelled his paid calorie-tracking subscription because the agent-built one replaced it. The build-to-cancel pattern shows the AI replacing a recurring SaaS cost.
In the same CEO's US business line, an agent reviews the call-center operators' calls, transcripts and CRM results every day, then writes the human supervisor's task list with numbers and deadlines and sends each operator 3–4 small skills to fix from their own recent calls. Each skill is marked pass or fail every evening and closes after three consecutive passes; the agent only suggests — people decisions stay with people.