Hi all, When creating chatbots for messaging platforms like WhatsApp, Telegram, or SMS, it's important to account for how users typically communicate. People often send several short messages in rapid succession rather than single comprehensive messages - I know that do this myself. Handling this behaviour requires additional implementation steps. I recently addressed this challenge by building a Telegram bot using n8n, Supabase, and GPT-4o mini that effectively manages multiple incoming messages before generating a single response. Obviously, the individual nodes can easily be switched out for other databases and LLMs. The logic would be the same. The template has also been published by n8n so should be available from within the app itself.

For a deeper discussion on enhancing/optimizing this build, let's chat here. In this video, I'll show you step-by-step how to build an AI powerful inbox management system using n8n. What we're covering: - Connecting to Outlook - Routing emails - Setting up customized logic for each type of email - How to expand on this build to make it even more powerful ✅ No coding experience required! This tutorial breaks down each step from installation to deployment.