Vercel eve Tutorial: Build a Slack AI Agent with eve and Firecrawl

Vercel's new framework, eve, simplifies the creation and deployment of Slack AI agents by consolidating the setup into a directory of files, eliminating the need for complex server configurations and bot tokens. This filesystem-first approach allows users to define agents using files that specify models, instructions, tools, skills, and channels, which are then compiled into applications running on Vercel Functions. Eve integrates with Firecrawl to enhance web search capabilities, providing clean, citable content rather than opaque snippets, making it particularly useful for agents that require grounded and reliable information. The framework emphasizes ease of deployment and maintenance, with features like durable sessions, sandbox environments, and human approval workflows, while also supporting seamless integration with Slack via Vercel Connect, which manages authentication without requiring direct handling of bot tokens or signing secrets. Users can test their agents locally for most functionalities, except Slack-specific interactions, which require deployment for testing. Eve's integration with Vercel allows for straightforward deployment and scaling, making it a practical choice for teams looking to leverage AI agents for tasks like research and data retrieval within Slack environments.