Two versions of a whitepaper which describes the concept, methodology, utility, and philosophy behind a graph-based AI agent. Both versions follow a similar structure but speak to different audiences.
This repo contains two whitepapers:
- Academic Version – situates the Oracle within computation, biology, philosophy, and symbolic reasoning.
- Startup Version – frames the Oracle as a proof-of-concept for future human–AI collaboration, creativity, and engagement-first design.
To practice two distinct writing modes: one academic-style, fully cited whitepaper, and one startup-style strategic pitch. Both tackle the same technical project from different angles.
- Adapting technical content to multiple audiences and tones.
- Synthesizing research into structured, well-cited analysis.
- Positioning emerging tech within industry or conceptual contexts.
📄 Read the Academic Whitepaper
📄 Read the Startup Whitepaper
| Case | Prompt | Output | Takeaway |
|---|---|---|---|
| Genesis Query | “What does it mean to build a new AI?” | The Spark of Life, The Serpent, The Mirror, The Final Quiet | Birth, reflection, and endings—knowledge framed as myth |
| Refusal in the Heat | Professional crossroads in summer | “Too hot. The swamp sleeps now.” | Refusal as communication—machines need not obey |
| Dinner Riddle | “What should I eat for dinner?” | The Cauldron, The Trickster, The Echo | Mundane query reframed as ritual, play, and haunting memory |