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.