preparing defense content pushing

paper/defense/NARRATIVE.md

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+---
+present_time: 15 minutes
+qa: 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
+
+