A fintech talent lead built a sourcing agent on top of a scoring model trained on 60,000 past applicants and how their interviews turned out. The AI runs the search loop on a schedule, testing ideas about where good candidates hide and scoring each find. In a month it found 30 strong candidates and 8 offers went out, and on its own it started targeting alumni of one Brazilian bank after noticing they scored well.
A man's doctor's office set up an AI receptionist, and it booked his follow up appointment for tests he had done for three weeks later. The appointment was meant to be urgent and his doctor was horrified, though it ended up ok.
This one went wrong. See what happened before you try it.
The AI Launch team reports a live test where a managed the AI Agent, given one chat instruction, searched Vast.ai for an RTX 4060 Ti under a $0.40/hour cap, rented it, rendered a 1920x1080 Blender frame over SSH, and destroyed the instance. The whole cycle took 194 seconds and cost $0.007.
The AI connected to the creator's Instagram and pulled every positive DM and comment from the past five months; she hand-wrote them on sticky notes arranged around a world map.
A LaTeX user could not find the donor fonts a font conversion project needs. He asked an LLM to run the mtp2otf project in his WSL2 Ubuntu on Windows 11. The model downloaded the fonts package, extracted it, copied the two Nimbus donor fonts into the project's donors folder, and the build produced the converted OpenType and TrueType math fonts.
He built a pocket AI pet over a weekend on a Waveshare ESP32-S3 board with a 1.8 inch AMOLED touchscreen in a small case, running firmware he wrote, and you push to talk and it answers out loud in its own voice while the text shows on screen. Under the voice there is a pet layer: it gets hungry, reacts when you tap it, has moods, and runs on a small battery inside the case.
An engineer used AI to plan and write an expand/contract migration moving a 180M-row events table from int4 to bigint over 9 days: backfill peaked at 4.1 seconds of replica lag and the final swap locked for 1.4 seconds, with zero downtime. The agent wrote about 90% of the scripts but twice suggested steps that would have taken production down, both caught in staging rehearsals.
This only partly worked. Worth knowing before you try it.
He says he cannot code, but he used AI to produce a working replacement for Lightroom for his own photo work. It works well enough that he ditched his Adobe subscription.
Mostly Borrowed Ideas had the AI infer his interests and holdings from email and use them to fill his AI feed. The agent built a portfolio-aware feed from Gmail.