Persistent AI Setups

Every time you open a new AI chat, you start from zero. No memory of your role. No context about your project. No understanding of your standards. You spend the first few minutes rebuilding what the AI needs to know before it can be useful.

That is not a prompting problem. It is a design problem.

Persistent AI Setups is a 6-page guide that teaches you how to build reusable AI configurations you set up once and use every time. No more repeating yourself. No more inconsistent results.

The guide covers 3 types of persistent setups, each solving a different problem:

1. Reduce Cognitive Noise — filter information so you act on what matters
2. Build Understanding — apply a consistent analysis framework to every input
3. Evaluate Against a Standard — catch meaningful changes, ignore formatting noise
4. 
   

Every type includes when to use it, what the setup does, a real-world example, and the critical instruction elements you need to build your own.

What is inside:

• 3 persistent setup types with real-world examples
• 5 design principles that apply to every setup
• Before/after comparison of ad-hoc prompting vs. configured environments
• Critical instruction elements so you know exactly what to include
• Works with Claude Projects, ChatGPT GPTs, Google Gems, Copilot Agents, or any AI platform
• 
  

Who this is for:

Professionals who use AI daily and are tired of rebuilding context every session. Configure once. Reuse forever.

Format: PDF, 6 pages.

Built by Pedja Drazic. More frameworks at pedjadrazic.com.