​AI Automations Night with Datadog and Firecrawl

​Join us at Datadog’s iconic NYC HQ for AI Automations Night, a curated series of talks and demos on building, scaling, and operating AI-native systems in the real world. From self-improving models and agent architectures to disruptive automations and AI-powered market research, you’ll hear from operators at Datadog, Google, Firecrawl, Supermoon, khaa-lo, and more. Come to learn how leading teams are turning identical agent stacks into real differentiation, why “having the right data is the new moat,” and how to use AI automations to ship products and insights in days instead of months.

​Throughout the night, you’ll go deep on topics like the architecture of self-improving models, engineering defensible advantages in a world of similar AI tools, and designing automations that meaningfully change how teams work. You’ll also see concrete examples of AI agents driving disruptive automations, structured market research, and app development powered by high-quality data pipelines. We’ll close with open networking so you can connect with fellow founders, builders, and AI-curious operators who are pushing the frontier of automation-first products.

​Schedule

• ​5:00 PM – Opening and reception

• ​5:30 PM – Rohit Jacob (Maitai): Architecture of Self-Improving Models

• ​6:00 PM – Guilherme Galhardo & Kleber Antoniazzi (Datadog)

• ​6:30 PM – Gautami Nadkarni (Google): Engineering Differentiation in an Era of Identical Agents

• ​7:00 PM – Chris Michael (Supermoon): Disruptive AI Automations

• ​7:20 PM – Vaishnavi Varma (khaa-lo): AI Automations for Market Research

• ​7:40 PM – Nicolas Camara (Firecrawl) & Nicole Grossmann (Georgia Tech): Vibe Code the App. Engineer the Moat.

• ​8:00 PM – Open networking