The AWS Developers Podcast
Episode 208
May 13, 26 • 00:50:13
With Lewis James, Senior Data Scientist at Reach PLC
What happens when a data scientist builds a generative AI proof of concept — and it scales to 700,000 articles and 4 billion page views? Recorded live at AWS Summit London, Romain is joined by Lewis James, Senior Data Scientist at Reach PLC — the UK's largest commercial publisher with over 120 brands including the Mirror, the Express, and OK Magazine. Lewis shares the full journey from GPT-2 experiments to a production AI publishing platform called Launchpad that now assists with 20–30% of the portfolio's daily article output. We explore how the team earned journalist trust by focusing on mundane tasks first, how they built multi-model pipelines with quotation fidelity checks to avoid misquoting, and why working backwards from users — not pushing technology — drove adoption where others failed. The conversation covers the technical evolution from prompt engineering to fine-tuning, model distillation, and agentic workflows built with the Strands Agents SDK running on Amazon Bedrock AgentCore. Lewis also introduces the concept of 'vibe publishing' — giving journalists a chatbot interface with more creative freedom — and discusses how evaluation strategies differ when you're measuring editorial tonality versus factual accuracy. Whether you are building AI-assisted content pipelines, navigating enterprise AI adoption, or thinking about how to earn user trust for generative AI tools, this episode offers a rare look at what three years of production generative AI looks like at massive scale.
Links
Here are the links to the tools, technologies, or articles we mentioned in this episode.
Reach PLC — UK's Largest Commercial Publisher
Amazon Bedrock AgentCore
Strands Agents SDK — Open Source
Amazon Bedrock Model Distillation
Amazon Bedrock LLM-as-a-Judge Evaluations
The 4 Stages of Psychological Safety — Timothy R. Clark
Werner Vogels — The Renaissance Developer (re:Invent 2025)