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 ([ Ссылка ])
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SHOW NOTES:
• Zapier AI homepage ([ Ссылка ])
• Zapier integration with OpenAI ([ Ссылка ])
• Zapier Central ([ Ссылка ]) - AI Workspace to Teach AI Bots to work with Apps
• Zapier Chatbots ([ Ссылка ]) - Build AI Chatbots
• Zapier Canvas ([ Ссылка ]) - 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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