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I spent 2025 designing and building hundreds of AI agents. If you’re unsure where to start, here’s the key thing to know ↓ AI agents aren’t complicated. The real challenge isn’t coding or connecting tools. It’s picking the right foundation before you begin. Here’s my honest takeaway: You don’t need to master every framework to benefit from AI agents. You only need resources that match your current level and goals. If I were starting from scratch in 2026, this is the path I’d follow: 1 - What Is Agentic AI? https://cloud.google.com/discover/what-is-agentic-ai • Best place to start if “agentic” feels unclear • Explains autonomy and decision making • Shows how agents differ from chatbots 2 - AI Techniques: Agentic Workflows https://academy.openai.com/public/clubs/builders-etkn1/videos/unlock-agentic-power-with-the-agents-sdk • OpenAI Academy fundamentals • Covers tools, memory, and orchestration • Great for understanding architecture first 3 - 5 Day AI Agents Intensive With Google https://www.kaggle.com/learn-guide/5-day-agents • Hands-on learning from Google researchers • Covers models, tools, and evaluation • Focuses on production-ready agents 4 - Building Effective Agents Cookbook https://github.com/anthropics/claude-cookbooks/tree/main/patterns/agents • Practical guide from Anthropic • Proven patterns that scale • Turns theory into deployment 5 - Claude Code in Action https://anthropic.skilljar.com/claude-code-in-action • Walkthrough of agentic coding • Speeds up development workflows • Real examples of agents building agents 6 - Getting Started With Google Antigravity https://codelabs.developers.google.com/getting-started-google-antigravity#0 • Next-gen IDE for autonomous agents • Agents that plan, code, and browse • A preview of where dev tools are going You don’t need to learn every agentic platform to build real agents. You just need enough knowledge to ship. Pick one resource. Build something small. Break it. Fix it. Repeat. That’s how you stop overthinking AI agents and start building systems that compound. Follow Rahul Agarwal for practical AI insights.