Key Takeaways
- May affect how AI can be used.
- 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…
- People wanted to interact with the agents in Slack, meaning everyone had to figure out how to integrate with Slack's API.
What It Means
Context
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 Vercel Blog 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. Instead of asking people to come to agents, Vercel Blog needed to deliver agents to the places they were already working.Chat needs integration abstractionWe realized Vercel Blog had made it easy for Vercel Blog's teams to create agents, but Vercel Blog needed to make it easier to extend them for adoption across platforms. This is true for every company. People are already using Microsoft Teams, WhatsApp, Telegram, and Google Chat, and agents…
For builders
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…
For Builders
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…