Lovelaice · Author
Madalina Turlea
Co-founder & CPO, Lovelaice
Product leader from regulated fintech — 10+ years shipping software people can stand behind.
Madalina is co-founder and Chief Product Officer at Lovelaice. She brings more than ten years of product experience from fintech, payments, and compliance — environments where you can't ship something just because the demo looks right. Before Lovelaice she led AI product development inside a highly regulated fintech, watching first-hand how teams struggled to evaluate AI features against the standards their industries demand.
She is a CFA charterholder, which informs how she thinks about model risk, calibration, and the costs of being wrong at scale. At Lovelaice she leads the product practice, owns the customer relationship for early design partners, and shapes how product managers — not just engineers — can drive AI quality.
Madalina teaches product managers on Maven, co-leading two cohorts with Catalina: "Build AI Features for Confident Product Managers" and "AI Evals for Product Managers". She writes here about the workflows product teams need when domain experts, not data scientists, are the people who actually know whether the AI is working.
Background & credentials
- CFA Charterholder
- 10+ years in fintech, payments, and compliance product
- Former AI product lead in regulated fintech
- Maven instructor — Build AI Features for Confident PMs & AI Evals for PMs
Published by Madalina
Article
What is AI experimentation, and why do you need it?
One idea. One prompt. Five real cases. Several models. Read every response. That's where AI-native products start. An 8-step playbook for product thinkers running their first experiment.
Article
Should you still write PRDs when building AI features?
The programming language is plain English. The prompt IS the spec, so why is the PM three handoffs away? Why "evals are the new PRDs" makes things worse, and what PM-owned AI development actually looks like.
Article
Why Your AI Evaluation Is Lying to You
Teams automate evaluation before understanding what they're evaluating. Why thumbs-up/down and generic LLM-as-a-Judge silently mislead — and the evaluation ladder that actually works.
Newsletter
Why Your AI Evaluation Is Lying to You
Why most teams automate AI evaluation before understanding what they're evaluating — and the step-by-step approach that actually works.
Newsletter
The Death of the Prompt Box: What A16Z's 2026 Prediction Means for Your AI Features
What A16Z's 2026 Prediction Means for Your AI Features.
Newsletter
Lessons from one year of AI product building
Key insights from building AI products over the past year.
Course ↗
Ship AI Features With Confidence for PMs
Course on shipping AI features with confidence for product managers.
Newsletter
The expert test: how to identify high-value AI features for your product
How to identify which AI features will deliver the most value.
Newsletter
Why ship and learn just does not work for AI features
Why the traditional 'ship and learn' approach fails for AI features.
Masterclass ↗
Reverse-Engineering AI Products: From System Prompts to Cost
Let's look at some of the most popular AI products and their estimated AI cost.
Masterclass ↗
Myth Busters Edition - Prompting Techniques
Let's test out some popular beliefs about prompting AI.
Masterclass ↗
Demystify popular AI features with us - part 1
Breaking down how popular AI features work under the hood.
Masterclass ↗
Personalised Activation Emails with AI
Live workshop on building AI-powered personalised activation emails.
Masterclass ↗
Personalization demo for Airbnb AI product feature
A demo of AI experimentation for personalisation features.
Masterclass ↗
Test an AI Feature with us - Implement Linear's AI Slack feature
Live walkthrough implementing Linear's AI Slack feature.
Masterclass ↗
AI Experimentation Masterclass: Personalised Airbnb Description with AI
Your first AI experiment - a live walkthrough for PMs.