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Say goodbye to manual prompt generation. ✍️ Say hello to prompt optimization in AI Foundation. ✨

Fantastic step forward! Removing manual prompt work and empowering teams with optimized AI workflows is a game-changer. Kudos to the team behind this!

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What stands out to me is the shift from individual prompt usage to more governed outcomes. I’ve seen in several organizations that AI works well in pilots, but adoption slows when results differ between users. When performance depends on individual expertise, teams hesitate to rely on it in core workflows. Monitoring and optimization create the consistency organizations need — and that’s usually when AI moves from experimentation into something the business actually trusts and uses.

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AI grows faster when humans and machines collaborate efficiently. Tools like prompt optimization remove friction, letting ideas and insights flow naturally. That’s the future of intelligent work.

Optimized prompts built on disorganized personal data can still produce the wrong answer. SAP, with AI Foundation pulling from enterprise data across systems, how do you ensure the business context coming in is actually clean before optimization starts?

Automating prompt optimization is a game-changer. Reducing manual steps not only saves time but also improves consistency and accuracy across AI workflows. Smart move, SAP.

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People who understand model behavior will have an unfair advantage.

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