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Episodes


We Vetted 2000 AI Skills Before They Reached Developers — Lucas Palma, Nubank

How Kepler Built Verifiable AI for Financial Services — Vinoo Ganesh

Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai
Synthetic personas function as predictive tools for market research, operating similarly to weather forecasting by relying on computational power and data to simulate human decision-making. These models face critical failure modes, including price proxying, where models incorrectly infer product attributes from price, ...

Why Off-the-Shelf AI Doesn't Understand Money — Udi Menkes, Intuit

SimulationMaxxing: How we ship agents 20× faster — Aman Gupta (Nubank) + Shreya Rajpal (Snowglobe)

Skills are new features: Building Skill-Centric Harness — Yogendra Miraje, FactSet

Morgan Stanley's ALPHALAB: Multi-Agent Research Across Optimization Domains — Brendan Rappazzo

Your Agent Didn't Fail. Your Harness Did. — Vinoth Govindarajan, OpenAI

How Forward Deployed Engineering is done at Factory — Eno Reyes

AI tools for Forward Deployed Engineering — Vasuman Moza, Varick Agents

How Forward Deployed Engineering is done at Cognition — Jia Wu

How Forward Deployed Engineering is done at Ramp — Leo Mehr

The Dirty Secret of Forward Deployed Engineering — Natalie Meurer, Sierra

How Forward Deployed Engineering is done at Decagon — Sunny Rekhi

How Forward Deployed Engineering is done at Kepler — Vinoo Ganesh

Forward Deployed Engineering 101 — Kevin Bai, Anthropic, ex Palantir & Rippling Founding FDE
Forward Deployed Engineering (FDE) functions as a strategic go-to-market motion by embedding engineers directly within client organizations to build custom solutions on a core software platform. This approach bridges the gap when selling complex, technical products to non-technical buyers, ensuring customers achieve ta...

Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face

AI Agents for Performance: Ship Faster, Pay Less — Rajat Shah, Netflix

DeepSWE: A Contamination-Resistant Coding Benchmark — James Shi, Datacurve
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