https://chrislovejoy.me/Chris LovejoyDoctor turned ML Engineer/Founder 2026-07-05T10:33:51+00:00 Chris Lovejoy https://chrislovejoy.me/ Jekyll © 2026 Chris Lovejoy /assets/img/favicons/favicon.ico /assets/img/favicons/favicon-96x96.png Why enterprise tech stacks aren't ready for AI agents — and the primitives that can unlock them2026-07-03T00:00:00+00:00 2026-07-03T00:00:00+00:00 https://chrislovejoy.me/ai-agents-for-enterprise Chris Lovejoy I gave this talk at the 2026 AI Engineer World’s Fair in San Francisco on 2nd July 2026. (Last year, I spoke at the same conference about building a domain-native LLM application.) Recording I will add link once available. Slides Downloadable as a PDF here. Why your startup equity offer is worth less than you think - and what to do about it2026-07-01T00:00:00+00:00 2026-07-01T00:00:00+00:00 https://chrislovejoy.me/startup-equity Chris Lovejoy Okay, so you’ve been offered equity: 80 thousand options, with a pre-money valuation of $6M, a double trigger clause, a strike price of $0.60 and a 90-day post-termination exercise window. So… Is that good? With salary, its value is immediate and obvious: you can benchmark the amount against peers and ultimately see it land in your bank account every month. Equity is murkier: What needs to ha... The Domain-Native AI Organization: How to Leverage Domain Expertise2026-04-09T00:00:00+00:00 2026-04-09T00:00:00+00:00 https://chrislovejoy.me/domain-native-ai-org Chris Lovejoy I gave a talk at the first European AI Engineer conference on 10th April 2026. Recording Slides Downloadable as a PDF here. The Sour Lesson: A Guide to Building AGI-Pilled Products2026-02-12T00:00:00+00:00 2026-02-12T00:00:00+00:00 https://chrislovejoy.me/sour-lesson Chris Lovejoy 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... The new AI playbook: why LLM-native beats traditional ML in verticals2025-10-30T00:00:00+00:00 2025-10-30T00:00:00+00:00 https://chrislovejoy.me/llm-native-vs-traditional-ml Chris Lovejoy 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...