Erica at Bank of America ordered my replacement card
The poster used Erica, the Bank of America AI assistant, to order a replacement card, and says it was faster than hunting through the bank's menus. Erica went from a curiosity to a time saver.
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Agents do the manual half of his video editing, and his project time fell by about half
He edits video for a living. His agents handle the non creative manual work around each project: quality checks for missed text, black frames and logos, subtitles, reformatting for social aspect ratios, spreading files to the right products and pulling source material for descriptions. He logs his hours on every project and says agent assisted projects take about half the time with better quality; the weeks spent building the setup paid for themselves in two weeks.
Remembered a $300 Chase Sapphire Reserve dining credit, checked availability, and booked
A Chase Sapphire Reserve 'Exclusive Tables' screenshot accompanies a Korean caption: the user remembered the $300 annual dining credit, checked availability, and booked Bestia — a 'primetime reservation' for the following day.
$300
An agent picked 20 AI stories a day for his news feed for the better part of a year
For the better part of a year an AI agent detected AI-related stories for his hcker.news feed and raised about 20 a day for his judgement, before he replaced the workflow with a fine-tuned classifier.
My system puts out three news episodes a day while I sleep, 6,400 episodes in, and under 250 people watch
His custom pipeline reads the day's newsletters, picks the stories, writes the script (The AI), renders a presenter with his cloned voice, builds the visuals (The AI), and publishes a video, a blog post and a LinkedIn post three times a day at about $3 to $3.50 an episode. Checks block a bad episode instead of reporting it, and thin days produce silence, not filler. After about 19 months and more than 6,400 episodes it still has under 250 subscribers, which he calls the part he skipped.
This only partly worked. Worth knowing before you try it.
The AI rebuilt my 20 years of address history from my email
He needed his address history for a co-op application and had struggled to dig out leases from a decade or more back. The AI searched more than 20 years of his Gmail and built a spreadsheet listing his addresses back to 2006, with links to the emails behind each date and a flag on the dates that were only a guess.
Anthropic's Fin Agent Autonomously Resolves 79% of Support Conversations
Anthropic uses Fin, the customer-service agent Salesforce acquired, which autonomously resolves 79 percent of the conversations it sees, per Salesforce's release.
Booked an American Airlines RDU→DFW round trip (Oct 19–30, 2026) for $607.09
A Facebook screenshot shows the AI's pending-order screen: 'the AI wants to place an order at Duffel' for an American Airlines round trip, Raleigh/Durham to Dallas departing Monday Oct 19, 2026 at 11:39am nonstop and returning Friday Oct 30, 2026 at 9:35am nonstop, one passenger (Paul Armstrong), total $607.09, payable by Mastercard or Link.
$607.09
Bristol Myers Squibb's RABIT Agent Mines Meeting Transcripts for Risks and Actions
Bristol Myers Squibb rolled out Microsoft 365 the AI to about 30,000 people with 96 percent adoption. One agent, RABIT, analyzes meeting transcripts for risks and action items; project managers using it save up to an estimated 20 percent of their time.
GPT is formalizing a researcher's papers in Lean, about 3000 declarations in
A mathematician is using GPT-6 Astra to formalize results from his papers in Lean. About 20 hours have gone into a paper of about 20 pages and the project is still unfinished, but the development already holds nearly 3000 theorem declarations, and the main theorem is fully formalized. Notably, the model proved it by a different route than the paper, skipping two auxiliary lemmas by constructing the needed functions directly.
This only partly worked. Worth knowing before you try it.
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.