How I Built a SaaS That Deploys AI Chatbots to Telegram in 2 Minutes

I recently launched ClawBotCloud , a managed platform for deploying AI chatbots to Telegram. Users configure a bot through a web dashboard, connect their Telegram token, and deploy. Each bot runs in its own isolated container on Fly.io, powered by Claude. In this post, I want to walk through the architecture decisions, trade-offs, and lessons learned building it as a solo developer. The Problem Setting up an AI chatbot on Telegram requires a surprising amount of infrastructure: A server (VPS, cloud instance, or a machine at home) Docker or a process manager to keep the bot running API key management and secure storage Telegram Bot API configuration Monitoring and crash recovery SSL certificates if using webhooks For a developer, this is a weekend project. For a small business owner who just wants an AI assistant in their Telegram group, it's a brick wall. I wanted to reduce that to: configure → connect → deploy. Architecture Overview Here's the high-level architecture: ┌─────────────┐