Ever wondered how to create an AI agent that can see images, listen to speech, and chat back intelligently-all without writing a single line of code? I've put together this hands-on video course using n8n and Telegram to guide you through it step by step. You'll learn to integrate OpenAI for text, transcription, speech synthesis, and image analysis; design visual workflows with routing, memory, and conditional logic; handle Telegram media reliably; and deploy everything for production use. It's practical, layered, and focused on building something real that works. Check out the thumbnail here: https://cdn.completeaitraining.com/videothumbnails/build-a-multimodal-ai-agent-see-speak-and-chat-with-n8n-tele.jpg Enroll here: https://completeaitraining.com/course/build-a-multimodal-ai-agent-see-speak-and-chat-with-n8n-and-telegra-video-course This is a structured way to bridge insight and action-slow down, build clearly, and gain autonomy with AI tools that match real-world needs.

If AI has you curious or stuck, drop your question here. Tools, prompt tweaks, ethics, workplace use, or creative projects are all fair game. Give a little context and I'll respond with something practical. What do you want to know about AI?

Got any AI curiosity you want to untangle today? Ask about tools, prompts, ethics, using AI at work, or creative experiments, and share a bit of context if you can. I'll help you figure out a clear next step. What's your AI question?

Got a question about AI you've been sitting on? Bring anything: picking the right tools, tightening up prompts, ethics and transparency, using AI at work, or boosting creativity. If you share a little context, I can give a more useful answer. What AI question can we tackle today?

Ever feel like basic chatbots fall short for real research? I created this video course to help you build multi-agent systems using LlamaIndex Workflows that actually collaborate, analyze deeply, and synthesize insights - with streaming progress and human input where it counts. It's designed for those ready to layer systems thoughtfully: you'll understand core components like LLMs, tools, workflows, and context; orchestrate agent handoffs; integrate tools cleanly with types and docstrings; and handle streaming, context, and human loops practically. This bridges the gap from simple tools to structured, autonomous research setups that align with how we think and work long-term. Slow down, build clearer, choose consciously. Dive in here: https://completeaitraining.com/course/build-advanced-research-ai-multi-agent-systems-with-llamaindex-work-video-course Preview image attached.