
AI Fire
Master AI with practical guides - your AI daily hub.
40 followers
Master AI with practical guides - your AI daily hub.
40 followers
AI Fire is a practical AI newsletter designed to help you actually use AI in your daily work. Instead of generic news, we break down real workflows, tools, and use cases - from AI agents and automation to content creation and productivity. Each issue is concise, actionable, and focused on helping you save time and work smarter with AI. Used by founders, creators, and professionals exploring AI.
This is the 2nd launch from AI Fire. View more
How to Build Your Own OpenClaw AI Agent
Launched this week
Learn how to build and deploy your own AI agents using OpenClaw - the fastest-growing open-source AI framework.
In this hands-on session, you'll connect agents to models like Claude or GPT, deploy them into apps like Telegram or Discord, and run them on your own device.
Includes step-by-step demos, real use cases, and practical workflows to get started.






Free
Launch Team / Built With



Hi Product Hunt 👋
I'm Dyson from AI Fire.
Today we’re sharing a hands-on session on how to build and deploy your own AI agents using OpenClaw.
We built this because we kept seeing a big gap:
- AI agents are getting a lot of attention - but for most people, it’s still unclear how to actually build one, connect it to real tools, and make it work in practice.
- So in this session, we break it down step by step.
Here’s what you’ll learn:
- How the architecture of AI agents actually works
- Build your first agent and connect it to models like Claude or GPT
- Deploy your agent into apps like Telegram, Discord, or WhatsApp
- Run everything on your own device (no complex setup)
We also cover real-world use cases - from customer support bots to personal AI assistants.
This is especially useful if you're:
- A builder or developer exploring AI agents
- A founder looking to automate workflows
- Someone curious about running AI locally
- Or just getting started with agent-based systems
🎁 For the Product Hunt community: We’re giving full access to the recording + workflows + resources.
Would love your feedback:
1. What’s the biggest challenge you face when trying to build or use AI agents today?
2. What kind of agent would you want to build for your own workflow?
Thanks so much for checking it out 🙌
I joined this workshop, then watched this again and I could say I liked it. It explains things in a simple way and shows each step clearly. I didn’t feel lost at any point.