Faster Loops, Better Results: Your Blueprint for AI in Experimentation

In this episode of the GMS Podcast, Julia and André sit down with Manuel Brückmann, the wizard behind optmzeAI and long-time tech brain of GMS. Manuel shares how AI is transforming experimentation, helping teams overcome complexity, avoid “prompting fatigue,” and scale their optimization programs with speed and precision.

From rookie pitfalls to future trends like autonomous testing, simulated A/B tests, and AI-powered stakeholder management, this conversation is packed with practical insights for growth-minded superheroes who want to stay ahead of the curve.

Key Highlights of this episode:

• Why “shit in, shit out” still holds true in AI and how to prompt smarter

• The problem of prompting fatigue and how optmzeAI makes AI accessible

• Pitfalls to avoid when starting with AI in CRO and experimentation

• How AI can accelerate scaling from 20 to 100+ tests per year

• Future trends: simulated A/B tests, hyper-personalization, and AI as the new interface

• Manuel’s personal mindset shift: asking “How can AI help me?” instead of “Can AI help me?”

Want to learn more about optmzeAI? Visit https://optmze.ai/ or connect directly with Manuel on LinkedIn.

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