ConTejas Code is a podcast in the web engineering space that has deep dives on various topics between frontend engineering with React, TypeScript, Next.js, and backend engineering with Kafka, Postgres, and more. The series is a mix of long-form content and guest episodes with industry leaders in the web engineering space.
From the podcast, listeners will take away actionable best practices that you can integrate into your workflows as well as valuable insights from prominent people in the industry.
Hosted on Acast. See acast.com/privacy for more information.
ConTejas Code is a podcast in the web engineering space that has deep dives on various topics between frontend engineering with React, TypeScript, Next.js, and backend engineering with Kafka, Postgres, and more. The series is a mix of long-form content and guest episodes with industry leaders in the web engineering space.
From the podcast, listeners will take away actionable best practices that you can integrate into your workflows as well as valuable insights from prominent people in the industry.
Hosted on Acast. See acast.com/privacy for more information.
Links
- Codecrafters (sponsor): https://tej.as/codecrafters
- Agent Experience: https://agentexperience.ax
- Arrazo: https://spec.openapis.org/arazzo/latest.html
- Netlify: https://netlify.com
- Sean on X: https://x.com/JavaSquip
- Tejas on X: https://x.com/tejaskumar_
Summary
This episode dives deep into the emerging field of Agent Experience (AX), exploring how software agents, including LLMs, will interact with the web and online services. The conversation highlights the distinction between the "human web" and the "agent web," emphasizing the need for new approaches to ensure agents can effectively understand context and execute tasks.
Key topics include contextual alignment protocols like MCP (Machine Context Protocol), and standards such as `llms.txt` and `agents.json`, alongside efforts like Arrazo, which aim to provide structured information and enable complex workflows for agents. A significant portion of the discussion focuses on the challenges of authentication for agents, moving beyond human-in-the-loop processes and complex systems like OAuth2 towards more agent-friendly, secure, and auditable solutions, possibly involving dedicated agent user identities.
The dialogue also covers practical considerations like providing data to LLMs efficiently, the importance of API accessibility for agents, and the need for businesses to adapt to this new paradigm of interaction. Finally, the conversation underscores that AX is a rapidly evolving area, transitioning from theoretical concepts to practical applications, with a strong call for community collaboration to develop best practices and robust solutions for the future of agent-driven web interactions.
Chapters
00:00 Intro
03:35 Exploring Agent Experience (AX) and Its Importance
06:23 Understanding the Role of Model Context Protocol (MCP)
09:22 The Principles of Great Agent Experience
12:24 Agent Accessibility and Its Challenges
15:34 Contextual Alignment: Enhancing Agent Interaction
18:31 Human-Centric Design in Agent Experience
21:23 The Future of AI and Agent Experiences
24:25 Improving Human Accessibility Through Agentic Experiences
27:29 Primitives of Agent Accessibility
30:22 Avoiding Human in the Loop Patterns
33:19 Authentication in an Agentic World
38:34 Navigating API Token Strategies
43:30 Contextual Alignment: The Next Frontier
55:50 Understanding Agents vs. Bots
01:00:19 Optimizing Contextual Alignment for Agents
01:14:11 Understanding Website Infrastructure and Cost Implications
01:14:37 The Role of LLMs in Web Navigation
01:17:54 Quantifying ROI in Web Technologies
01:19:43 Introduction to Arazo and Workflow Management
01:24:26 Measuring Human vs. Agent Interaction
01:30:28 The Emergence of Agent Experience (AX)
01:38:09 Five Principles of Agent Experience (AX)
Hosted on Acast. See acast.com/privacy for more information.
