Real things everyday people got it to do, and how to try them yourself.
A random mix from the whole library. Shuffle for a new set.
He runs recruiting for an investment firm across 30 open roles spread over five applicant systems. His AI cron runs at 9am, reads the open roles, searches people through data services, checks Gmail so nobody gets emailed twice, and writes new candidates into the right system with its reasoning attached. In about six weeks it surfaced 40 good candidates and the firm made 2 offers.
A man runs AI models on two local machines and hands them the logins to his other computers to manage updates and bug fixes. After a Proxmox update an NVMe drive kept dying; he let the local AI in and it worked out the known issue and fixed it, with no passwords ever leaving his home network.
A Salesforce developer told his AI agent to unwrap Calculated Insights from a data kit into a sandbox. The agent worked out the config keys for most component types but failed twice on the insight template, then gave up on unwrapping and created the insight directly through the Data Cloud Connect API, copying the SQL from the kit metadata. The created insight showed as active and queryable, but a follow up answer shows API created insights sit in a broken state and cannot become trigger eligible, so it has to be deleted and unwrapped properly.
Stanford EE student (310K followers, 'sage') documented upgrading her electronics lab by using AI (nicknamed 'Chef') to compare Facebook Marketplace listings under $200, identify a Hakko FX-888D in Los Angeles, message the seller directly, and negotiate the price down by $50. She picked up the boxed unit, unboxed it at her workbench, and thanked the AI on camera.
Agent autonomously proposed and tested CUDA kernel optimizations and profiled them with Nsight by itself, ending with a kernel an order of magnitude faster.
The same setup reads his incoming email and texts, builds his weekly to do list, sends him a digest every morning with the list and any scheduling clashes he might miss, and adds events to the family calendar on its own. A spreadsheet of every house appliance and its service schedule feeds the list, and it drafts the messages to repair firms for him to send.
He sent the AI a photo of a clock, it worked out what non-standard battery it took and ordered it from Amazon for him.
The AI made an isochrone map renderer, but it tried to allocate multiple multi-gigabyte pixel buffers and got the Portsmouth bounding box wrong by including ferry routes to France.
The user's agent, nicknamed for its savings habit, cancelled Squarespace, migrated the site to Shopify, and discovered his Apple TV subscription was already free through his Chase Sapphire Reserve, activating that instead of paying.
The AI and the AI re-created a Tesla data tool in Go from an existing codebase at his request; he has used the new tool for 5 months and it works well.
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.