From Prompt to Production: Smarter AI with Evaluations

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.
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​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.