Build an expert agentic Slack bot with OpenClaw, Nebius Token Factory, and Tavily

Deploy a web-connected AI agent in under 15 minutes without GPU infrastructure. In this hands-on webinar, we’ll build a Slack Pricing Assistant that: accepts a product query, searches live competitor pricing with Tavily, runs inference through Nebius Token Factory, and returns a structured pricing recommendation. You’ll learn how to connect inference, web search, and messaging into a production-style agent workflow that can run remotely from a Nebius serverless environment. We’ll also cover the real integration issues teams hit in practice, including deployment quirks, model compatibility, sandbox restrictions, and configuration pitfalls, so you can avoid losing hours on setup. Who it's for Developers and ML engineers building AI products who want a practical, hands-on path to deploying tool-using AI agents in production without managing GPU infrastructure Level: middle What you’ll learn How to connect Nebius Token Factory as an OpenAI-compatible inference backend How to add real-time web search and extraction with Tavily How to build and deploy a Slack-facing AI agent end-to-end How to run the full workflow without local GPUs Common integration pitfalls and how to avoid them Practical patterns for production-ready AI agents Tavily is trusted by 1M+ developers including LangChain and AWS; Nebius Token Factory runs 60+ open-source models with a 99.9% SLA.