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 ›› AI Agent Building in Action

AI Agent Building in Action

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

Save

Do you think building AI agents is just for developers? Think again.

In this In Action episode of Invisible Machines, Robb and Josh team up with Daniel Lametti, Associate Professor of Psycholinguistics at Acadia University, Visiting Fellow at the University of Oxford, and Senior Academic Advisor to OneReach.ai, to show how easy it can be to bring an AI agent to life—no deep coding skills required.

Using OneReach.ai’s GSX platform, Daniel has been able to build a whole host of AI agents, including one that operates around the objective of writing and sending emails. He takes us behind the scenes, showing how he set up the agent’s objectives and created a task flow for seamless email automation.

The trio also discusses how coding languages are gradually receding in importance as machines become more adept at understanding and communicating in human language.

Tune into this In Action episode with Daniel Lametti to explore how AI is evolving to meet us on our terms, in our own language.

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

Discover how the design choices behind streaks, infinite scrolls, and guilt nudges are engineered to keep you hooked, and what ethical UX designers can do about it.

Article by Tushar Deshmukh
Designing for Dependence: When UX Turns Tools into Traps
  • The article argues that many popular apps are deliberately designed to create dependency rather than serve users, using psychological tricks like streaks, guilt nudges, and endless scrolls to hijack behavior, and calls on UX designers to prioritize user well-being over engagement metrics.
Share:Designing for Dependence: When UX Turns Tools into Traps
10 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

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

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