One of the more challenging aspects of building production-ready AI solutions is designing them to handle unpredictable real-world inputs and tricky edge cases. Identifying and fixing these can take up the majority of development time, especially when a small prompt tweak might solve one issue but introduce new, unintended behavior elsewhere.

Evaluations for AI workflows let you measure AI against predetermined metrics so you can make data-driven decisions on whether to adjust a prompt or switch to a new model. You can even use this approach to catch regressions by monitoring performance - giving you peace of mind for AI solutions in production.

Join host, **Angel Menendez**, and expert guest, **Elvis Saravia**, in exploring strategies for evaluating AI and how to implement them into your development process.

This session will include a presentation with practical examples and demos.

**In this session, you'll learn how to:**

* Apply industry best practices for evaluating agentic workflows
* Build evaluation datasets
* Select and design evaluation metrics
* Perform evaluations with n8n

Learn more in our blog, [Introducing Evaluations for AI workflows](https://blog.n8n.io/introducing-evaluations-for-ai-workflows/).
​
**​This webinar is ideal for:**

* ​Enterprise teams looking to make data-driven decisions about models and prompt changes.
* ​Developers and engineers seeking to iterate faster while increasing AI reliability.
* ​AI builders at any level who are building and deploying AI solutions where response predictability is crucial.

**Format:**
This session will include a shared presentation with demos that includes live chat Q&A. Live video Q&A will be available at the end of the presentation.

n8n Automation and AI -  San Francisco

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Vman Me

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Jason

Don Wexler

Benjamin

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Bill Thompson

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mraestach

Shamshad

Brigido Bautista

From Prompt to Production: Smarter AI with Evaluations

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