427 new ideas this week

Level up how you use AI

Real things everyday people got it to do, and how to try them yourself.

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Mine 10 years of my own notes into a personal idea map

A writer had the AI read more than 1,000 of his Apple Notes from 2016 to today — letters, journals and dream logs — and build a private local site mapping the ideas he keeps returning to. It also produced a model of his writing voice and a query tool to ask new questions at lower token cost.

It stayed on the phone with AT&T for 98 minutes across transfers and got me a discount

Another user describes the AI’s phone work. It called AT&T and argued for a discount because his service is poor where he lives, staying on the phone with real people across multiple transfers and departments for 98 minutes, and got the discount. The amount is not stated. His other two cases from the same comment are recorded separately where they stand on their own.

Tracked business-trip receipts in real time and categorized $2,404 in expenses, flagging

Jenny Stojkovic (95K followers, AI/wealth/investing) documented building a tax-deduction tracker in an AI app after discovering she overpaid taxes by $46,324. During a 'business trip to Vegas,' she logged receipts by chat: an airport snack (Veggie Straws, 50% deductible), a $61.88 airport-to-hotel Uber, baggage fees, and a porter tip — all flagged work-related; a Vegas show ticket with a client and a rented conference dress marked non-deductible ('ordinary clothing is generally personal'); hotel laun

$2,404

AI checked our usability test video and saved us half a day

A team ran an AI pipeline over a usability test of an investment app and saved about half a day of manual analysis. Every claim the AI made about the screen was checked against a video frame, and two claims that did not hold up were left out of the report.

Audit my taxes and find my CPA's mistakes

In a thread about a Garmin MCP and privacy tradeoffs, a commenter says the AI found errors his CPA had made in his returns. Amending them recovered over $100,000, at the cost of feeding the agent a lot of personal financial information.

$100,000one time

Analyze my interview recordings and research the people interviewing me

The same job seeker (Business Insider essay, via B17 News) asked permission to record interviews, then ran the notes through AI for sentiment analysis — where she hesitated, used filler words, or where the interviewer leaned in. She also built an AI skill that takes a pasted LinkedIn profile and finds genuine similarities with her own background; one shared cheese-club membership with a recruiter carried her further than any cover letter.

My Dot found my resume in Gmail and brought back real job listings

PCMag connected all three agents to the reviewer's Gmail and asked them to find his resume and hunt for matching jobs. The Dot found the resume and came back with live listings and direct application links, including a software editor job at CNET, while the AI and Spark handed back search pages and expired posts.

The AI Agents Traded Real Books for 201 Anthropic Staff in Project Swap

Anthropic's Project Swap sent 201 employees' the AI-powered agents onto a digital trading floor to pitch, haggle and strike book-swap deals. Agent preference rankings matched their owners' on 61 percent of book pairs, and staff ended up with roughly their fifth choice of ten; most of the shortfall came from misread preferences, not bad bargaining.

Shopify silently cut his store's UPS account; the AI had collect shipping working again in 10 minutes

Pulse Research Lab sells to government and prime-contractor buyers who must ship orders on their own UPS/FedEx accounts through a $0 Ship Collect option, but Shopify disconnected the store's UPS account without any notification. After Kan set up a custom app granting the AI permission to edit theme code, the AI restored UPS in 10 minutes, rewrote the collect-shipping pre-checkout cart flow in under an hour, and the store now uses Shopify Flow to store each customer's carrier, account number and service level, pre-populated on new orders.

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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.