Charles Summers runs his demand-generation work on the AI: 8 scheduled tasks that drive HubSpot, Search Console, Gmail and LinkedIn through Chrome, backed by 578 local sessions and about 220 memory notes. Ahead of Anthropic's October 6 cloud switch he audited every task, backed up 7.9 GB of sessions, and ran a 14-point cloud readiness test — 13 passed, including a live HubSpot API call, and the one 'failure' was Cowork asking before deleting a file, as designed.
The AI took a webinar email and made a calendar event for it on its own. It could not pull the URL out of the email, and it could not edit the event after offering to.
This only partly worked. Worth knowing before you try it.
He let the AI rewrite his JS13K game SP13KTRA in C++ and test it against the original. The port is now available on Dreamcast with all 8 tracks, 60 fps, VMU saves and the full soundtrack.
When a friend visited Boston, the reviewer had the AI create a shareable dashboard with flights, restaurant reservations, tours booked, etc. It could book an OpenTable reservation and update the trip dashboard including the HTTP link for the accessible restaurant menu, and cancel or modify OpenTable reservations — all through WhatsApp messages.
A hobbyist designs his own furniture in OpenSCAD with AI, reusing code from earlier pieces. A new design takes a couple of hours including the PDF blueprints, drawn like shop instructions, that he prints so the person cutting his wood panels cannot go wrong.
A home-lab owner reported on X (via WhatAgentsCanDo, Oct 19) that, still in bed, he sent the AI a link to a post containing a setup recipe for a new DeepSeek model (DeepSeek-V4.1-Flash-1017, EXL3) across two NVIDIA DGX Spark machines and asked it to do the setup. The AI was not installed on the Sparks, but they shared a network with its computer, and everything was ready to test by the time he got up; he says he does not know exactly how the bot reached the machines.
Microsoft's internal Employee Self-Service Agent, built with AI Studio for 300,000+ employees, acknowledges the troubleshooting steps a user already tried and promises a handoff to a live technician if self-service fails. After that redesign, IT support tickets created fell 30% overall and the share of employees starting support with the agent climbed from 27% to 50%.
Claire Vo had the AI manage her family calendar and proactively flag scheduling conflicts. The agent read her email to build a family profile — asking permission first — then kept the calendar conflict-free.
Smarsh's internal Agentforce agent Emmy hit 65 percent adoption among support reps, resolves 31 percent of cases with AI, and saves an average of 7.5 hours per case.
Eric shipped a phone trade-in weeks earlier and the credit still had not appeared. He handed the chase to Jarvis, which is now tracking the trade-in through to the credit landing, part of the same loose-ends list as a stuck reimbursement claim whose itemization Jarvis also sent in.
This only partly worked. Worth knowing before you try it.
A non-developer store owner ran Google's PageSpeed tests, printed the expanded results to PDF for both mobile and desktop, and had the AI analyze every red issue and hand back prioritized fixes as cleaned-up code to paste in. His speed score rose 10-15 points and the speed index dropped from 3.2 seconds to 1.2.
Fulton's the AI flagged an Economist interview with Andrew Ng that matched his interests, wrote him a primer before it started, and placed it on both his personal and work calendars. He had not asked it to connect those dots.
A ham radio operator had a frontier LLM read his pencil sketch of an antenna, build NEC models from it, test and iterate on numerical stability until the approximation held together, and then run a real simulation that answered his questions. He uses the same approach for SPICE circuit simulation.
His wife works for an airline, so he flies standby through an employee perks app that normal flight apps do not cover. He has the AI track every change. This weekend the AI caught his original flight at Y0, meaning no spare seat, so he switched flights and still made it to Vancouver. The AI checks more often as departure gets closer and only tells him when something changes, and it sends his wife short Messenger updates on his chances of getting on. His tally for the weekend: 2 flights boarded, 1 full flight avoided, 1 gate change caught, no app refreshing from him.
The AI wrote a POSIX vi implementation from the POSIX specs over a weekend; he has used it for over a month with no fault found in its POSIX implementation.