Your Team Doesn't Need to Understand RAG. It Needs These 3 Things
Curiosity Code Podcast
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Your Team Doesn't Need to Understand RAG. It Needs These 3 Things
35 просмотров · 5 дней назад
Curiosity Code Podcast
258 подписчиков
35 просмотров · 5 дней назад
Prudential in Singapore built an AI assistant for its insurance representatives. Six of its own experts graded the answers, and 59% failed. Four months later 99% passed. Nobody on that team had to learn how the model works.
A solo episode of Curiosity Code on what people in a financial firm actually need to know about RAG and AI agents. Most need to know how to use it and where it goes wrong. The firm needs three things: an owner who decides what a correct answer is, a set of graded questions it reruns whenever something changes, and a register of which model wrote which answer. I show the three ways an answer goes wrong on a small mock-up (a made-up travel insurer, a real model), then what OpenAI, Anthropic and Singapore's regulator have published about it.
Three questions for your team: Which model produced the last AI answer that someone here relied on? If that model changed tomorrow, how would we find out? And who decides what a correct answer is?
Chapters
0:00 An AI assistant that failed 59% of the time
0:24 What most people need to know, and what they don't
1:20 Why Prudential's assistant scored 41%
2:35 Three ways an answer goes wrong
6:27 Who does the work
7:28 Three questions for Monday
Episodes mentioned
Stéphane Malrait, "Burning Cash Too Fast? Why Most Fintechs Collapse Within 3 Years": • Burning Cash Too Fast? Why Most Fintechs C...
Daniel Flowe, "The DARK Side of AI in Finance, Can We Trust It?": • The DARK Side of AI in Finance, Can We Tru...
Sources
Project MindForge, AI Risk Management Implementation Examples (the Prudential case): https://www.mas.gov.sg/-/media/mas-me...
Jeff McMillan of Morgan Stanley on the RegulatingAI podcast (write-up, January 2026): https://americanbazaaronline.com/2026...
OpenAI, API deprecations page (read 9 October 2026): https://developers.openai.com/api/doc...
Anthropic, "A postmortem of three recent issues" (17 September 2025): https://www.anthropic.com/engineering...
Monetary Authority of Singapore, Guidelines on Artificial Intelligence Risk Management (October 2026): https://www.mas.gov.sg/-/media/mas-me...
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The mock-up in this video is an illustration: the insurer and its policy wording are made up, the model output is real (Claude Opus 5.5, 9 October 2026).
Music: "Soundbed" by Blue Saga, via Epidemic Sound.
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