In early January, we gave the entire company a challenge: figure out how to multiply your output. People created agents. Mostly chat bots, but dedicated ones, purpose-built for real workflow augmentation: the agents were doing things automatically that would otherwise be tedious and time consuming. Initially people built individual interfaces for their agents, and AI SDK made that easy with out-of-the box model integrations and AI Elements to simplify UI design. Then we hit a constraint. People wanted to interact with the agents in Slack, meaning everyone had to figure out how to integrate with Slack's API.

Then the problem got worse. Once the agents were in Slack, people wanted to integrate them with even more platforms, like Discord, Github, and even issue trackers like Linear. Each of those introduced a new integration adventure for every agent. It hit us. Instead of asking people to come to agents, we needed to deliver agents to the places they were already working. We realized we had made it easy for our teams to create agents, but we needed to make it easier to extend them for adoption across platforms. This is true for every company. People are already using Microsoft…