🤖 Agentic AI Roadmap
AI agents are redefining our relationship with technology. Unlike traditional LLMs, agentic AI prioritizes decision-making and acts autonomously, without constant supervision.
🎯 What defines them?
- 🧠 Complex and structured goals
- 💬 Natural language interface
- 🔄 Autonomous action without supervision
- 🔧 Integration with external tools
- 📚 Memory to recall previous interactions
📈 Autonomy levels: the Financial Times compared them to SAE autonomous vehicles — most apps are at level 2-3, some reach level 4, and level 5 remains theoretical.
Notable examples: OpenAI Operator, Claude Code, Devin AI, AutoGPT and Manus.
💡 Quick explanation
Imagine an assistant that doesn’t just answer questions, but can plan tasks, use tools, browse the web, and execute actions on its own. That’s agentic AI: a language model with “hands” to act in the real world.
More information at the link 👇
Also published on LinkedIn.
