<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://chrislovejoy.me/</id><title>Chris Lovejoy</title><subtitle>Doctor turned ML Engineer/Founder</subtitle> <updated>2026-03-09T18:05:16+00:00</updated> <author> <name>Chris Lovejoy</name> <uri>https://chrislovejoy.me/</uri> </author><link rel="self" type="application/atom+xml" href="https://chrislovejoy.me/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://chrislovejoy.me/"/> <generator uri="https://jekyllrb.com/" version="4.3.4">Jekyll</generator> <rights> © 2026 Chris Lovejoy </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>The Sour Lesson: A Guide to Building AGI-Pilled Products</title><link href="https://chrislovejoy.me/sour-lesson" rel="alternate" type="text/html" title="The Sour Lesson: A Guide to Building AGI-Pilled Products" /><published>2026-02-12T00:00:00+00:00</published> <updated>2026-02-12T00:00:00+00:00</updated> <id>https://chrislovejoy.me/sour-lesson</id> <content src="https://chrislovejoy.me/sour-lesson" /> <author> <name>Chris Lovejoy</name> </author> <summary>With the current rate of AI progress, every AI product builder must confront an uncomfortable question: How should I build my product when my approach could become obsolete with the next model release? You need to serve customers today so you have to ship something using current capabilities - but those capabilities will change. Build too specifically around those limitations and you create te...</summary> </entry> <entry><title>The new AI playbook: why LLM-native beats traditional ML in verticals</title><link href="https://chrislovejoy.me/llm-native-vs-traditional-ml" rel="alternate" type="text/html" title="The new AI playbook: why LLM-native beats traditional ML in verticals" /><published>2025-10-30T00:00:00+00:00</published> <updated>2025-10-30T00:00:00+00:00</updated> <id>https://chrislovejoy.me/llm-native-vs-traditional-ml</id> <content src="https://chrislovejoy.me/llm-native-vs-traditional-ml" /> <author> <name>Chris Lovejoy</name> </author> <summary>The emergence of large language models like chatGPT and Claude has fundamentally changed how value can be created in vertical industries using AI. But with this technology comes a new rulebook. Previous AI approaches were characterized by using datasets to train models for specific use cases and then deploying them within existing workflows. With LLM-native approaches, the focus is on stitchin...</summary> </entry> <entry><title>How to leverage domain experts for building domain-specific vertical AI</title><link href="https://chrislovejoy.me/domain-experts-ai" rel="alternate" type="text/html" title="How to leverage domain experts for building domain-specific vertical AI" /><published>2025-08-23T00:00:00+00:00</published> <updated>2025-08-23T00:00:00+00:00</updated> <id>https://chrislovejoy.me/domain-experts-ai</id> <content src="https://chrislovejoy.me/domain-experts-ai" /> <author> <name>Chris Lovejoy</name> </author> <summary>A popular maxim when building LLM products is to “look at your data”: one of the best ways to understand and improve AI performance is to review your AI outputs. But what if you can’t understand your data? What if you’re building a language learning app - but don’t speak the languages your AI is outputting? What if you’re building an LLM app analysing legal contracts - and you’re not a lawye...</summary> </entry> <entry><title>Lessons from building verticalized agents (with Jason Liu)</title><link href="https://chrislovejoy.me/lessons-verticalized-agents" rel="alternate" type="text/html" title="Lessons from building verticalized agents (with Jason Liu)" /><published>2025-08-13T00:00:00+00:00</published> <updated>2025-08-13T00:00:00+00:00</updated> <id>https://chrislovejoy.me/lessons-verticalized-agents</id> <content src="https://chrislovejoy.me/lessons-verticalized-agents" /> <author> <name>Chris Lovejoy</name> </author> <summary>This is a lightning lesson with Jason Liu delivered on 13th August 2025. Recording Slides Downloadable as a PDF here.</summary> </entry> <entry><title>AI Evals in Vertical Industries (Guest Talk with Shreya and Hamel)</title><link href="https://chrislovejoy.me/ai-evals-in-vertical-industries" rel="alternate" type="text/html" title="AI Evals in Vertical Industries (Guest Talk with Shreya and Hamel)" /><published>2025-08-03T00:00:00+00:00</published> <updated>2025-08-03T00:00:00+00:00</updated> <id>https://chrislovejoy.me/ai-evals-in-vertical-industries</id> <content src="https://chrislovejoy.me/ai-evals-in-vertical-industries" /> <author> <name>Chris Lovejoy</name> </author> <summary>This is a guest lecture as part of the AI Evals For Engineers &amp;amp;amp; PMs online course (7th August 2025). Recording (Will be uploaded later - sign up below to be notified.) Slides Downloadable as a PDF here.</summary> </entry> </feed>
