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Before AI agents took over, we relied on rigid workflows that demanded heavy engineering and business analysis. But everything changed when LLMs gained tool calling — the single biggest unlock that transformed chatbots into autonomous agents.
In this video, we break down the complete evolution of AI agents from 2022 to 2026 — covering how prompt engineering gave way to context engineering, and how today's leading agents like Cursor, Windsurf, Lovable, Perplexity, and Manus operate using a modern paradigm called Agent harness.
You'll learn:
✅ What truly defines an AI agent (vs. a workflow)
✅ Why tool calling was the real game-changer
✅ How context windows reshaped what agents can do
✅ The shift from prompt engineering → context engineering → agent harness
✅ Real-world agent examples: Cursor, Lovable, Perplexity, Manus
✅ Where AI agents are heading next
If you're a developer, founder, or AI enthusiast trying to understand the agentic AI landscape in 2026, this is your roadmap.
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