Empowering every team to build AI productsconfidently and efficiently
While 77% of executives feel urgent pressure to adopt AI, only 25% have the infrastructure ready.
The real AI challenge isn't adoption—it's execution
95% of AI initiatives fail to scale. Yours won't.
While 77% of executives feel urgent pressure to adopt AI, only 25% have the infrastructure ready. But the bigger problem? Your team treats prompts like disposable scripts instead of strategic assets. Without systematic methodology, AI stays a tactical free-for-all that never makes it to production.
Without systematic methodology, AI stays a tactical free-for-all that never makes it to production.
What this workshop unlocks
It's how your team starts building AI expertise that stays.
01
AI native teams
AI success requires empowering your entire team—PMs, experts, engineers—to become AI-native.
02
Systematic methodology
The methodology that top-performing teams use to achieve 40-60% prompt reuse and sustainable AI scaling.
03
Your team's AI roadmap
Validate your AI idea before committing further resources.
Everything You Need to Start Building AI Expertise Today
In this 2.5-hour interactive workshop, your team will:
The 4-step framework
- •Bring Real Challenges → Experiment Systematically → Get Intelligent Insights → Capture Knowledge
- •Structure experiments that build team capability, not just solve one-off problems
Live experiments
- •Using your actual use cases
- •Hands-on testing across multiple AI models.
- •Real-time analysis of results—learning to read patterns and make decisions
Expert Coaching
- •Review of your specific AI use case and implementation approach
- •Cost-accuracy tradeoff analysis for your requirements
- •Q&A with teams who've built AI capability successfully
Your AI Playbook
- •Experiment templates customized for your domain
- •30-day platform access to continue building expertise
- •Recorded session for onboarding new team members
Hands-on experimentation with your actual data
Before the Workshop
Submit 3-5 real examples from your domain (customer queries, use cases, data samples) 15-minute call to understand your AI goals and team structure We prepare relevant demonstrations using scenarios similar to yours
Workshop - Part 1 - 45 mins
Framework overview + methodology training
Workshop - Part 2 - 60 mins
Hands-on experimentation with your data Your team runs experiments together Domain experts evaluate outputs in real-time PMs see cost-accuracy tradeoffs firsthand
Workshop - Part 3 - 45 mins
Implementation strategy + knowledge capture planning
After the Workshop
Written summary: what you learned, what worked, what to do next Your experiment results and analysis 30-day platform trial with your use cases loaded Documentation templates to capture team learnings 2 weeks of email support as you build momentum
From 0 to potential unlocked in one workshop
Common Approach
We should probably use GPT-4 because everyone else does
Let me check with engineering if this AI idea is feasible
I think the AI outputs look good, but I'm not sure what metrics to use
We're having AI on our product roadmapbut we don't know where to start
With Lovelaice
We tested across 15 models with our data—we know which one works best for our use case.
We validated the concept before involving engineering—here's the cost-accuracy breakdown
Our domain experts can now evaluate AI quality directly using our framework
We're building our AI playbook with every experiment—knowledge that gives opions and perspective.
Investment in capability that compounds
Team Workshop Package
€2,890
- 2.5-hour interactive workshop for up to 10 team members.
- Custom experiments with your actual data and use cases.
- Framework documentation and playbook templates.
- 30-day Lovelaice platforms trial.
- Recorded session for team onboarding.
- Workshop experts available for 2 weeks in the platform.
Compare the alternatives:
Engineering time
Weeks of feasibility studies without systematic methodology.
Wrong model choice
Wasting money and compromising quality by chosing default models.
Failed implementations
95% of AI initiatives fail to make it to production.
This workshop gives your team the capability to avoid all of that. One systematic approach to AI development pays for itself in the first month.
FAQ
Validate AI ideas independently before investing resources
The gap between your team and AI confidence isn't technical—it's methodological.You need a systematic approach to building expertise with your actual data.