BIG 3 SUPER AGENT: Gemini 2.5 Computer Use, OpenAI Realtime API, Claude Code

Video Description

The tech industry wants you to pick ONE tool, ONE provider, ONE model. But that's THEIR winning strategy, not YOURS. 🚀 The BIG 3 SUPER AGENT combines Gemini 2.5 Computer Use, OpenAI Realtime API, and Claude Code into one POWERFUL multi-agent orchestration system that will change how you think about agentic coding. Why loyalty is a LOSING game in the generative AI age and why you need to think in ANDs, not ORs. 🎥 VIDEO REFERENCES: - Tactical Agentic Coding: https://agenticengineer.com/tactical-agentic-coding?y=Ur3TJm0BckQ_a - Voice To Agents: https://github.com/disler/big-3-super-agent - Multi-Agent Observability: https://github.com/disler/claude-code-hooks-multi-agent-observability - Gemini 2.5 Computer Use: https://blog.google/technology/google-deepmind/gemini-computer-use-model/ - OpenAI Realtime API: https://platform.openai.com/docs/guides/realtime - OpenAI Sora API: https://platform.openai.com/docs/guides/video-generation - Claude Code: https://claude.com/product/claude-code 🔥 In this agentic coding video, we're pushing the boundaries of multi-agent systems by combining three state-of-the-art generative AI technologies into one unified super agent. Watch as we orchestrate Claude Code agents for agentic coding, leverage Gemini 2.5 Computer Use for browser automation and validation, and control everything through OpenAI's Realtime API with voice commands. 🛠️ Discover how to build a voice-controlled orchestrator that manages multiple specialized agents working in parallel. We demonstrate tactical agentic coding principles as our agents Sony and Blink work simultaneously on backend and frontend implementation of a Sora API video generation platform - all while we observe their progress through a custom multi-agent observability system. 💡 This isn't about picking sides between Claude Code, Gemini, or OpenAI. This is about understanding that the winning strategy in the age of AI is COMPOSABILITY. Learn how to combine multiple AI providers and tools to maximize your compute and scale your engineering impact beyond what any single tool can offer. 🌟 Watch as our multi-agent system builds an entire video generation application end-to-end, with agents validating their own work through closed-loop feedback systems. See how tactical agentic coding principles transform from better agents to more agents to custom agents to full agent orchestration. ⚡️ Key insights for agentic engineers: Voice-Based Agent Orchestration: Control multiple specialized agents through natural language commands using OpenAI Realtime API Multi-Agent Observability: Monitor and debug agent activities in real-time with custom Claude Code hooks Closed-Loop Validation: Watch agents test their own work using Gemini 2.5 Computer Use for browser automation Agent Composability: Design thin orchestration layers that work across any model or tool provider System Architecture: Build the system that builds the system through proper input-output feedback loops 🚀 Whether you're working with Claude Code, Cursor, Gemini CLI, Codex CLI or any Agentic Coding assistant, these multi-agent orchestration patterns will help you scale your compute and engineering output. The bottleneck isn't the tools or models - it's how effectively YOU can compose and orchestrate them together. 💼 Remember: To scale your impact, you must scale your compute. Multi-agent systems are how we achieve that. Think in ANDs, not ORs. Use Gemini 2.5 Computer Use alongside Claude Code alongside OpenAI Realtime API. Combine, mix, and mash. Stay focused and Keep building. #multiagent #agenticcoding #claude