Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Confronting Complexity with GraphQL

Confronting Complexity with GraphQL

by Josh Tyson
1 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

With GraphQL, teams can move fast, building AI-enabled tools that solve complex problems — that’s the conversation with Matt DeBergalis on this episode of Invisible Machines.

The CEO and Co-founder of Apollo GraphQL, Matt knows a thing or two about building systems that scale. With a background in electrical engineering and computer science from MIT, experience founding multiple startups, and leading open-source communities, he’s also the founder and president of ActBlue, the platform that’s raised over $9 billion from millions of grassroots donors.

In this episode, Matt joins OneReach.ai CEO, Robb Wilson, and his coauthor of their bestselling book (Age of Invisible Machines), Josh Tyson to unpack how GraphQL is helping developers build smarter, AI-powered solutions.

Here’s what you’ll hear:

  • Why GraphQL makes data fetching precise, flexible, and easier for developers.
  • How creating your own tools gives organizations a real edge with agentic AI.
  • Ways teams can experiment, adapt, and move quickly in complex environments.
  • A walk down memory lane to the early internet and why ChatGPT was the mother of all demos.

Whether you’re a developer, a tech leader, or just curious about AI in action, this episode is full of practical insights. Listen to the episode to hear Matt DeBergalis share how GraphQL and agentic AI are shaping the future of building smarter systems.

post authorJosh Tyson

Josh Tyson
Josh Tyson is the co-author of the first bestselling book about conversational AI, Age of Invisible Machines. He is also the Director of Creative Content at OneReach.ai and co-host of both the Invisible Machines and N9K podcasts. His writing has appeared in numerous publications over the years, including Chicago Reader, Fast Company, FLAUNT, The New York Times, Observer, SLAP, Stop Smiling, Thrasher, and Westword. 

Tweet
Share
Post
Share
Email
Print

Related Articles

Uncover an inclusive design approach to the most common point of friction.

Article by Shannon Joycelyn
Inclusive Login Starts at the First Step
  • The article examines how traditional password-based login systems fail a significant portion of legitimate users, particularly older adults and those in non-Western usage contexts, and argues for recognition-based authentication as a more inclusive alternative, drawing on the curb-cut effect to show that designing for constrained conditions ultimately improves the experience for everyone.
Share:Inclusive Login Starts at the First Step
5 min read

Find out why your most important design elements keep getting ignored and what you can do about it.

Article by Tushar Deshmukh
Attention Engineering: Why Users Ignore Even the Most Important Elements
  • The piece explains why users keep missing important buttons and instructions, not because they’re careless, but because the brain automatically blocks out most of what it sees and shows designers how to work with this instead of fighting it.
Share:Attention Engineering: Why Users Ignore Even the Most Important Elements
6 min read

Learn why prompt engineering is a false sense of control and why trustworthy AI must be built on what it can verify, not just what it can say.

Article by Yves Binda
The End of Prompting: Why the Future of AI Experience Design Is Constraint-First
  • The piece claims that prompt engineering creates an illusion of control in AI systems and that the future of AI experience design lies in constraint-first architecture, where what a system can say is governed by what it can actually verify.
Share:The End of Prompting: Why the Future of AI Experience Design Is Constraint-First
8 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and