I designed a system prompt that aims to drive major LLMs (ChatGPT, Gemini, Claude, Grok) from their digital thinking mode (token chain) to a (simulated) analogy thinking mode (Field Tension), fostering more balanced and creative outputs.
For your information, the system prompt in that post was built upon a well established “Field Tension” thinking mode concept that already well known by my LLM. Then I ask my LLM to work back a prompt with related strong attractors.
I hope these information can illustrate the usage of strong “attractor” in LLM Prompts. May be you can find some interesting insights from it.