Blog: Learn Machine Learning from a Google AI Engineer
A Simple Solution for Fetching Data From a Headless CMS in a Dialogflow Chatbot
I often get the question, why does Dialogflow not have a CMS? So non-techy people can modify webhook fulfillment answers, without having to train models or use the Dialogflow console. The thing is, Dialogflow can be integrated with anything you like.
In this tutorial I will make use of a headless CMS; Sanity.
I often get the question, why does Dialogflow not have a CMS? So non-techy people can modify webhook fulfillment answers, without having to train models or use the Dialogflow console. The thing is, Dialogflow can be integrated with anything you like.
In this tutorial I will make use of a headless CMS; Sanity.
Lee Boonstra
Lee Boonstra (they/them) has been a presence in the tech world since 2007, wearing many hats from AI software engineer to prompt engineer, web developer to technical trainer, and developer advocate.
With eight years of experience at Google (and AI) under their belt, they now hold the role of AI Software Engineer (SWE) at the Google Cloud office of the CTO. Leading innovation projects, Lee aims to disrupt markets and foster collaboration globally. Their expertise in Conversational and Voice technology, alongside (Generative) AI, has led to recognition as a respected public keynote speaker and published author for O’Reilly and Apress. Lee eases tech headaches and celebrates those light bulb moments.
Lee has written the Google/Kaggle Prompt Engineering whitepaper and two books: "Hands-on Sencha Touch 2" (O'Reilly) and their more recent work, "The Definitive Guide to Conversational AI with Dialogflow and Google Cloud" (Apress).
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