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How to Build an Advanced Agentic AI System with Planning, Tool Calling, Memory, and Self-Critique Using OpenAI API

This tutorial demonstrates building an advanced agentic AI system using the OpenAI API, featuring a pipeline of planner, tool-using executor, and critic roles. It integrates structured tools like calculator, knowledge base search, JSON extraction, and file writing for reliable computation, retrieval, structured outputs, and artifact preservation. The system includes memory and tool trace mechanisms for debugging and scalability. A demo shows generating meeting summaries, action items, and follow-up emails from a transcript.

SourceMarkTechPostAuthor: Sana Hassan
How to Build an Advanced Agentic AI System with Planning, Tool Calling, Memory, and Self-Critique Using OpenAI API
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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EngineersIntermediate

Key points

  • Agent system comprises planner, executor, and critic roles for separation of strategy, action, and quality control.
  • Integrated tools: calculator, knowledge-base search, JSON extraction, and file writing for diverse tasks.
  • Memory and tool trace enable debugging and extensibility.
  • Full demo: from meeting transcript to summary, action items JSON, and follow-up email saved as file.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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