Prompt Engineering Urges 'Hermeneutic Prompting' As A Powerful Technique Unlocking The True Value Of Generative AI

Abstraction: Hermeneutic circle prompting technique for richer LLM responses

Key points:

• Hermeneutic prompting asks the LLM to cycle between parts and whole (Heidegger's hermeneutic circle) rather than processing a prompt in a single forward pass
• Short-form template: "I want you to apply Heidegger's theory of the hermeneutic circle to interpret and answer the following question."
• Long-form template adds explanation of the method for LLMs that may not have been trained on hermeneutics terminology
• Works best for complex questions with many intricacies; adds no value for simple queries where extra circular reasoning wastes tokens
• Tested across ChatGPT, Claude, Grok, Llama, Gemini; supported by a 2025 research study in AI & Society by Henrickson & Meroño-Peñuela
• Example: baseline prompt yields simple "use clearer language" advice; hermeneutic prompt yields deeper insight about achieving shared understanding

Connections: Chatgpt · Prompt Engineering · Large Language Models

Source: https://www.forbes.com/sites/lanceeliot/2025/11/11/prompt-engineering-urges-hermeneutic-prompting-as-a-powerful-technique-unlocking-the-true-value-of-generative-ai/