The Domain-Native AI Organization: How to Leverage Domain Expertise
I’m giving a talk at the first AI Engineer Europe conference (10th April 2026). Recording (I’ll update this once the recording is live.) Slides Downloadable as a PDF here.
Chris Lovejoy
About Me
Hi, I'm Chris Lovejoy đź‘‹ I build AI products for complex, domain-specific verticals like healthcare and life sciences.
Previously: founding team at Anterior (healthcare LLM startup backed by Sequoia/NEA), medical doctor, academic researcher, and ML engineer. (I describe that journey here).
I write about building vertical AI products that generate real-world value. I previously wrote a book about learning medicine and lectured on AI for healthcare.
Popular
- Own your vertical: A playbook for building a domain-native LLM application (100k+ views)
- Machine Learning for Healthcare video series (50k+ views)
- The Academic Knowledge Management (AKM) system that 10x'd my research productivity
- The Truth Is In The Title? Video Title Generation as a novel training objective for video summarisation
- Mission-Critical Evals at Scale: Learnings from 100,000 medical decisions
- AI versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies (1,000+ citations)
- I created my own YouTube algorithm (to stop me wasting time) (100k+ views)
Recent Essays
The Sour Lesson: A Guide to Building AGI-Pilled Products
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 rele...
The new AI playbook: why LLM-native beats traditional ML in verticals
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. Pr...
How to leverage domain experts for building domain-specific vertical AI
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 y...
Lessons from building verticalized agents (with Jason Liu)
This is a lightning lesson with Jason Liu delivered on 13th August 2025. Recording Slides Downloadable as a PDF here.
AI Evals in Vertical Industries (Guest Talk with Shreya and Hamel)
This is a guest lecture as part of the AI Evals For Engineers & PMs online course (7th August 2025). Recording (Will be uploaded later - sign up below to be notified.) Slides Download...
Why custom AI review dashboards transform AI products - and how to build one
Without metrics on performance of your AI product, you’re flying bind. You don’t truly know how your app is doing nor how you could improve it. Performance could drop and you won’t know until your ...
How to find and hire a technical leader (when you're not technical)
It’s a common scenario: you’ve got an entrepreneurial itch, an idea you’re really excited to build… it’s just, you don’t really know how to build it. Perhaps you’ve worked around products but on t...
Lessons on applying AI in vertical industries
I recently went to the AI Engineer World’s Fair in San Francisco and took away a lot of lessons about how the industry is approaching vertical artificial intelligence, vertical AI agents, and the f...
7 eval mistakes that can kill your AI product (and how to avoid them)
When done right, evals can be the backbone of product development, enabling teams to build great products that users love. Done wrong, evals can become a massive time sync that never add any real v...