Wave3 Partners | Supporting people in place and in context using proximity, collaboration, augmented reality, and artifical intelligence 

Guided AI



Pillar 1: Hyper-Local Data Constraints

Instead of traditional LLMs that provide broad generalizations, constrain the problem space to a 100-meter geo-fence. Whether triggered by GPS, street addresses, or image recognition, the AI acts as a pinpoint expert on the user's exact surroundings.


Pillar 2: Specialized AI (Interchangeable Lenses)

The core architecture remains constant, but the AI's "persona" is modular. By swapping Markdown-based system prompts, the AI transforms into a specialized historian.


Pillar 3: Human-in-the-Loop Oversight

To eliminate "hallucinations" and navigate complex sociological subjects like racial discrimination, provide a real-time human guide to monitor a live transcript and interject to provide empathy and accuracy


Going Deeper


Engineering an AI Expert


Augmented History


Full screen? Try this


For example


The Japanese Canadian lens: Focusing on community displacement and timeline events surrounding World War II.