Question 1

How are leading companies like Intercom and Vercel integrating AI into their engineering workflows and customer-facing products?

Accepted Answer

This collection features deep dives with Intercom's CTO on their AI stack and the development of their Fin AI agent, as well as Vercel's VP of Engineering discussing how AI accelerates their development. You'll gain practical insights into their architectural approaches and real-world applications of AI, moving beyond theoretical discussions to see actual implementation.

Question 2

What specific AI tools and platforms are world-class engineering teams using to build with AI?

Accepted Answer

The "AI Speedrun" explores the internal AI tools and tech stacks of companies like Gong, HeyGen, and Twilio, detailing how they leverage AI for revenue intelligence, hyper-realistic video generation, and internet-scale communications. You'll hear directly from their Chief R&D Officer, CTOs, and Heads of AI about their chosen technologies and strategies for building robust AI solutions.

Question 3

Where can I find examples of AI's impact on customer support and customer success roles in modern organizations?

Accepted Answer

Several interviews highlight AI's transformative role in customer support and success, including discussions with leaders from Givebutter, Belfry, Productboard, and Appcues. These sessions reveal how AI is being used to enhance customer experiences, streamline operations, and redefine service delivery through practical applications and strategies.

Question 4

Can I learn about real-world AI strategies for building at scale from organizations like Twilio and Wix?

Accepted Answer

Absolutely. The collection includes interviews with Twilio's Head of AI on building AI at internet scale and Wix's Chief Architect on their company-wide AI adoption journey. These discussions provide insights into the challenges and solutions for implementing AI across large user bases and complex platforms, offering valuable lessons for scaling your own AI initiatives effectively.

Question 5

What are the practical applications of AI for product development and observability, as demonstrated by companies like Honeycomb and Merge?

Accepted Answer

Charity Majors, CTO of Honeycomb, shares what's actually working with AI in observability, offering insights into enhancing system monitoring and debugging for engineering teams. Additionally, Merge's Co-founder and CTO discusses how AI is integrated into their unified API platform, providing concrete examples of AI-driven product innovation and efficiency improvements.