The End of Prompts
Early Generative AI gave rise to “Prompt Engineering.” Users acted like debuggers of primitive code, attempting to constrain AI’s randomness with precise long-form text. This was essentially “manual programming” for the LUI era.
A true AIOS should not expect users to be littérateurs or masters of logic; it should achieve a leap from “precise execution of instructions” to “Intent Resonance.”
“Understanding” Under Semantic Vagueness
80% of information in human communication exists outside of words: a slight quiver in tone, a hesitant pause, the current physical setting.
The interaction framework for intent resonance includes:
- Contextual Priors: If you say “Turn it off” in your office at 2 AM, AIOS knows you mean the air conditioner and the computer, not the company server thousands of miles away.
- Multi-round Game Correction: AIOS does not wait passively for instructions; instead, when you give a vague term (e.g., “Fix that report”), it generates a first draft based on your historical editing preferences and automatically adjusts details through subsequent eye-tracking feedback.
- Emotional Synchronization: Upon identifying the user’s anxiety, the system automatically curtails redundant confirmation steps, replacing them with high-efficiency, one-click presets.
The Ultimate Stage of Interaction: Mental Synchronization
Future interaction will not be you issuing orders to a machine, but rather you and a “parallel brain” sharing task context. When this understanding is deep enough, interaction will reach a state of zero-cost resonance.
Illustration
Figure 1: Illustration of intentional coordination waves. The irregular waveform at the bottom represents the user’s original vague natural language input, while the regular waveform above represents the system’s logical parsing. The two gradually overlap and cancel out in amplitude and frequency, finally reaching a perfect resonance point at the center. drug-delivery systems and economic models.