The Cloudcast

Zapier + AI integration


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Reid Robinson (@Reidoutloud_, Lead AI Product Manager @Zapier)  talks about automation, application integrations and how to integrate AI in projects with Zapier

SHOW: 831

SHOW TRANSCRIPT:
The Cloudcast #831 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST -
"CLOUDCAST BASICS"

SHOW NOTES:

  • Zapier AI homepage
  • Zapier integration with OpenAI
  • Zapier Central - AI Workspace to Teach AI Bots to work with Apps
  • Zapier Chatbots - Build AI Chatbots
  • Zapier Canvas - Diagram AI Workflows


Topic 1 - Welcome to the show, Reid. Before we get started, tell us a little bit about your background, and what you focus on now at Zapier.

Topic 2 - Lots of individuals and companies use Zapier for a wide variety of automated tasks and application integrations. Recently, the company has added a number of ways to integrate AI into those workflows. At a high-level, how did you go about thinking about adding AI into the platform?

Topic 3 - What are some of the most common AI usage-patterns and integrations that you’re seeing companies build around?

Topic 4 - As Zapier began to integrate with OpenAI (or any 3rd-party LLM), how did you think about it as a source of integration? What did you have to think about regarding filtering, security and hallucinations with ChatGPT?

Topic 5 - We often hear discussions about AI agents interacting with other AI agents to complete tasks, or evolve the outputs of multi-step, complex tasks. Is that an area where we might expect to see things like the new Zapier AI tools playing a role?

Topic 6 - What are some of the best ways to get started building AI apps around these new integrations and tools?

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