7 Prompting Strategies from Claude 4’s System Prompt Leak
AI Summary
In this video, Nate B Jones breaks down the insights from the leaked Claude 4 system prompt, presenting seven key strategies for effective prompting. These strategies include: 1. Identity Anchoring: Start prompts with fixed facts to help the model’s memory. 2. Edge-Case Conditionals: Use clear conditional statements to ensure consistent behavior. 3. Three-Tier Uncertainty Routing: Direct questions to appropriate types of answers based on their nature. 4. Locked Tool Grammar & Counter-Examples: Teach tool use through both correct and incorrect examples. 5. Binary Style Rules: Use strict directives instead of vague language for clarity. 6. Positional Reinforcement: Remind the model of critical constraints within long prompts. 7. Post-Tool Reflection: Implement a reflection phase after function calls to improve accuracy. The video emphasizes the importance of clarity and defensive programming in prompt design, advocating for a focus on guardrails to enhance output quality.