AI Agents Explained: How to Create and Use AI Agents in 2026

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You're probably using Claude like a chatbot. Same model, same subscription — but agents can open your browser, run 10 tasks at once, and finish a week of work before lunch.

This is the complete guide to agentic AI in 2026: how to create AI agents, how agents actually work, which platforms are worth your time, and the prompt structure that makes them actually deliver.

▶ WHAT'S IN THIS VIDEO
• What separates a chatbot from a real AI agent (LLM + tools + memory + goals loop)
• Claude Code — Anthropic's reasoning agent, and why it's not just for coding
• OpenAI Codex — lowest-friction entry if you already pay for ChatGPT
• OpenClaw — open-source agent that lives inside Telegram, WhatsApp, iMessage
• Google Antigravity — visual agent built on Gemini, best for front-end and design
• Prompt Contracts: Goal → Constraints → Format → Failure (the 4-part structure that stops agents from going off the rails)
• Memory files: teach your agent once and never repeat yourself

⏱️ TIMESTAMPS:
00:00 - The most expensive AI mistake right now
01:21 - What an AI agent actually is
03:30 Claude Code — install & first run
06:45 OpenAI Codex — install & first run
09:07 OpenClaw — install & first run
12:25 Google Antigravity — install & first run
16:44 Prompt Contracts: the 4-section structure
21:53 Memory files: teach once, never repeat

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