The Future of AI Agents.

• 1 min read

Beyond Chat

Large Language Models (LLMs) have revolutionized how we interact with information. But the next frontier is agency.

Agents are systems that can:

  1. Plan: Break down complex goals into steps.
  2. Act: Use tools (web search, code execution, APIs).
  3. Observe: Analyze the results of their actions.
  4. Iterate: Correct course based on feedback.

Challenges

  • Reliability: Agents can get stuck in loops or hallucinate steps.
  • Security: Giving an AI access to your terminal requires strict sandboxing.
  • Context: Managing long-term memory and context windows is crucial.

The Road Ahead

We are moving from “Prompt Engineering” to “Flow Engineering”—designing the loops and control structures that guide these agents.