PHANTOM/paper/defense/NARRATIVE.md

present_time, qa

present_time	qa
15 minutes	15 minutes

Notes for presentation deck: keep minimal text, highlight only key metrics or keywords and diagrams, if possible do progressive reveal of items on slides, if going through a list, make each appear progressively on new slides like an animation.

Introduction [2min]

Hook: Extracting margin in markets with high density of AI agents.

• Say what today's agenda is (show in the blocks at the botton of each slide and with each slide indicate which stage we are at)
• Highlight problem (add financial consequence)
  • What are we trying to answer?

First Stage (Platform Development) [4min]

• Talk about designing the platform (nextjs design and apache airflow and kafka)

About the Platform

• Show an architecture diagram.

Dataset Brief

• Screenshot of the HF dataset and highlight some key features of the dataset with big numbers indicated.

Experimental Design

• Say how we collected data and how we used AI Agents

AI Agents

• browser use
• models used (say we used the LLM router for different models)

Second Stage (Distinguishability Construction) [4min]

• Explain kernels of behavior (what is a kernel)
• How we separate kernels and finally how we turn that into a probability.

DR-RL [4min]

• Explain simple wesserstein balls and ambiguity
• Highlight computational complexity

Results [1min]

• Empirical results from experiments

Conclusions

• Consequences of our work (financial and future implications for pricing systems)
• Did we answer what we wanted? How?

Appendix

Derivation of the COI theorem

Reward Structure Composition

On our Sample Size