Progressive Disclosure for AI Skills: Token Efficiency in Agentic Systems
Our read
If you're still stuffing every detail into one massive prompt, you're wasting tokens and getting dumber AI. 'Progressive Disclosure' for AI skills is the smart play: give the AI just enough context to start, then let it pull more as needed. It's about efficiency, not just instruction.
Key findings
Traditional Prompt Engineers: Focus on crafting comprehensive, single-shot prompts.
Agentic System Architects: Emphasize modular, dynamically loaded context for efficiency and scalability.
Conversations around token economy, LLM cost optimization, and best practices for designing scalable AI agents and custom GPTs.
What happened
The 'Progressive Disclosure' principle for AI skills, loading minimal metadata first, then full instructions, and finally linked files only when needed, is emerging as a critical strategy to optimize token usage and improve the efficiency of complex AI agents. This design pattern is vital for managing costs and performance as AI interactions scale.
The fight
- Traditional Prompt Engineers
Focus on crafting comprehensive, single-shot prompts.
- Agentic System Architects
Emphasize modular, dynamically loaded context for efficiency and scalability.
The brief
The 'Progressive Disclosure' principle for AI skills, loading minimal metadata first, then full instructions, and finally linked files only when needed, is emerging as a critical strategy to optimize token usage and improve the efficiency of complex AI agents. This design pattern is vital for managing costs and performance as AI interactions scale.
The fight. Traditional Prompt Engineers say Focus on crafting comprehensive, single-shot prompts. Agentic System Architects say Emphasize modular, dynamically loaded context for efficiency and scalability.
Why now. Conversations around token economy, LLM cost optimization, and best practices for designing scalable AI agents and custom GPTs.
From the episode. Building Your Agentic OS: The Blueprint for Powerful AI Automation (https://www.youtube.com/watch?v=w0S-khYCaB4)