Creating High Quality Context And Cursor Rules for Evals

Hosted by Isaac Flath and Hamel Husain

Mon, Jul 14, 2025

6:00 PM UTC (30 minutes)

Virtual (Zoom)

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AI Evals For Engineers & PMs
Hamel Husain and Shreya Shankar
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What you'll learn

How to use MCP context for AI evaluation frameworks

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Cursor rules for Phoenix, Braintrust, and Inspect

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Use AI for evaluation development and debugging

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Why this topic matters

AI evaluations are complex and model context is what lets AI help you.  We will cover different approaches an strategies for giving coding models context to help you, and show the most robust way to curate that information. In you see and learn my process for creating cursor rules for common AI evaluation tools such as Phoenix, Braintrust, and Inspect that will make you significantly faster at bui

You'll learn from

Isaac Flath

AI Engineer & Fullstack Developer

Isaac is a data scientist focused on AI applications. While this often means machine learning and deep learning it often means web app development and other things. AI is only a component of a successful AI application.

I am currently building out Gallery.FastHT.ML](https://gallery.fastht.ml/) and generally developing the FastHTML ecosystem.

My primary hobby is dance. I used to teach ballroom dance full time, which is where I met my partner. My partner runs her own dance instruction business here in D.C.

Hamel Husain

ML Engineer with 20 years of experience

Hamel is a machine learning engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies build AI products.

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