“It was mind-blowing to see how the cost differences can be 60–100x between models. Having this data before shipping is crucial for us.”
Alicia Dick Wahlberg
— Founder, Folksnest
Your domain expertise is your AI advantage.
Lovelaice gives product teams the tools to own AI quality, without waiting on engineering.
AI product development is slower than it should be.
92%
Projects fail in production
70%
PMs have AI on their roadmap
<10%
PMs contribute directly to AI
PMs need a stuctured way to design, test, and validate AI features, before committing engineering efforts.
ROI Calculator
What poor AI quality costs you
Adjust the sliders to match your team. See the real cost of shipping AI without proper evaluation.
Engineers on AI features3
Product managers1
Iteration cyclebi-weekly
Hours of manual testing per cycle10h
Quarterly cost
€24K
5 cycles · 4 people
Manual testing€12.000
PM overhead€1.200
Silent failures€11.250
AI development reality
Prompts live in code, evaluations hide in spreadsheets, and product teams wait on engineering to test ideas.
Without lovelaice
Prompts in code
Manual testing
Slow iteration
With lovelaice
Structured experiments
Model comparison
Faster validation
AI product development, simplified.
We help you take the lead, collaboratively and data-driven.
01
Build your test library
Create 50-200 test cases from your domain—real scenarios, edge cases, and variations. Not generic benchmarks, your actual data.
02
Run experiments
Compare 15+ leading AI models like OpenAI, Claude, Gemini, Deepseek and more. Track accuracy, cost, and latency for each.
03
Analyze performance
Review detailed metrics, identify strengths and failure modes, and export presentation-ready reports for stakeholders.
04
Decide confidently
See exact costs and projected performance before writing any code. Deploy the best setup knowing it works at scale.
See it in action
Product teams use Lovelaice to validate AI features across these common use cases.
Data Extraction
Extract structured data from invoices, contracts, and documents. Test which model handles your specific formats best.
Learn moreAI Chatbot & Assistants
40% of AI answers can be wrong. Test your chatbot on real queries before customers find the failures.
Learn moreText Generation
Test content generation across models before scaling. Find the right balance of quality, consistency, and cost.
Learn moreProduct teams using Lovelaice
“We had a gut feeling our results were good but no way to prove it. When we changed the prompt, we couldn't tell if it actually improved anything until Lovelaice.”
Viktoria Mall
— Founder, Mind the brain
“It used to takes us 3-4 days to a week or more to run a new iteration on the prompt and get the new results. With Lovelaice we cut this time to few hours, and product managers can do it without an engineering ticket.”
Albert Cristea
— Director of products
AI success ecosystem
Achieve AI success with ease
Transform experimentation into a scalable and repeatable AI capability across your organization.
01
The framework
A structured framework for systematic AI development. The same approach top consultants use—now accessible to every team.
02
The education
Free masterclasses teaching teams to build AI systematically. Hands-on workshops with your actual use cases. Book sessions for your team.
03
The community
Join product teams building AI expertise together. Share learnings, compare approaches, grow capability collectively.
Build AI features your users can trust
Lovelaice transforms how teams evaluate and evolve AI features. All in one platform. For the whole team.
Product Resources
Curated resources to get started.
Learn how product teams design, test, and deploy AI features through practical guides and insights.
Newsletter31 Mar 2026
Why Your AI Evaluation Is Lying to You
Madalina Turlea
31 Mar 2026
Newsletter28 Jan 2026
The Death of the Prompt Box: What A16Z's 2026 Prediction Means for Your AI Features
Madalina Turlea
28 Jan 2026
Newsletter13 Jan 2026
Lessons from one year of AI product building
Madalina Turlea
13 Jan 2026