“Watson” to analyze Workato recipe steps and provide recommendations based on user questions/prompts

In this blog, I have developed a “Watson” framework using Generative AI/LLM to analyze Workato recipe steps and provide recommendations based on user questions/prompts. This framework generates documentation or recommendations according to the given prompt.

For example, I can ask it to generate recipe documentation, provide recommendations for enhancing recipe, summarize the recipe, or even highlight key risks within the recipe.

Watson has the capability to produce an in-depth review in a visually appealing PDF format, styled like a Wikipedia article, which transforms the explanation into an engaging and immersive experience, breaking away from the monotony of traditional step-by-step presentations.

Please note that this feature is not part of the Workato platform. I am not affiliated with Workato and do not work for them, but I hope they consider introducing a similar feature in the future.

High Level Flow

We extract the recipe code from the platform and use resources from Workato Copilot to…