AI Is Getting Smarter—Why Is It Still So Hard to Use?

AI Is Getting Smarter—Why Is It Still So Hard to Use?

Welcome back to The Postman Blurb! ??

Have you tried integrating an AI model into a workflow or application, and ended up debugging API errors for hours instead? Yeah, us too. ??

In this issue, we’re tackling why AI integration is harder than it should be—and how to fix it. From messy API formats to endless authentication headaches, we’ve got insights and tools to make AI actually easy to work with.

Let’s get into it!

AI Needs Simplicity: Lessons from Serverless Computing ??

Featured blog by Rodric Rabbah, Head of Product - Postman Flows

Software development is changing—AI is no longer just about model evaluation, but about making applications intelligent. Yet integrating AI into real-world applications and workflows still feels like reinventing the wheel, tangled in development complexity, deployment friction, and infrastructure overhead. Developers don’t want to manage infrastructure; they want to build. AI should be as effortless to integrate as any other tool in a modern developer’s stack.

The Power of the Right Abstraction

We've seen this before. Before serverless computing and container services, developers spent more time configuring infrastructure than writing applications. Serverless platforms like AWS Fargate and Google Cloud Run changed that by abstracting infrastructure without requiring major code refactors. AWS Lambda took it even further—letting developers focus on individual functions, not servers—offering performance scalability, better security, and faster development lifecycles.

AI integration is at the same crossroads. Today, developers not only have to understand how to use Large Language Models (LLMs) effectively, but they also need to manage model evaluations, deployments, security, and compliance safeguards.

AI needs a powerful abstraction layer, just like serverless computing—one that simplifies integration into workflows, process automation, and AI-driven applications. Right now, too many AI implementations are blocked by custom pipelines and specialized engineering. But history tells us that technology succeeds when it disappears into the background—when it becomes as seamless as calling an API.

AI as an API: The Future of Simplicity

APIs have already transformed software development, making modularity, scalability, and interoperability second nature. AI should follow the same pattern. Instead of being a complex, standalone system, AI should be an API-driven building block—easily accessible, configurable, and composable.

By treating AI as APIs, developers can:

? Integrate AI capabilities without rebuilding workflows

? Test and validate models the same way they test APIs

? Modularize intelligence, making it easy to scale and swap

We’re already seeing this shift with platforms like Anthropic, Google, Perplexity, and OpenAI making their AI models available via APIs. The Postman AI Protocol provides an intuitive interface for LLM interactions while also offering capabilities similar to API testing. Beyond testing and exploration, Postman Flows enables developers to build AI applications (agents) using a low-code visual canvas, making it easier to understand, collaborate, and create intelligent workflows—without the overhead of managing complex infrastructure. These solutions are part of the Postman AI Agent Builder suite, designed to make AI integration seamless, modular, and API-driven, empowering developers to build intelligent applications without friction.

The real question isn’t whether AI will follow the path of APIs—it’s how quickly we can remove the friction. The shift is already happening. The faster we treat AI as APIs, the faster we unlock its full potential.

Want to join the conversation? Follow Rodric on Linkedin or share your thoughts in Postman’s Community!


?? See you in LA for POST/CON 25!

Big news—registration is now open for POST/CON 25, our annual user conference! ?? On June 3 & 4 in Los Angeles, we’re bringing together the brightest minds in APIs and AI for two days of hands-on workshops, visionary keynotes, and live demos designed to take your API skills to the next level. Don’t wait—lock in your spot now!


?? Skip the Struggle: 5 Features to Make AI & APIs Easier

APIs power modern applications, but inefficient workflows can slow development, introduce errors, and create frustration. A well-functioning API workflow keeps teams connected, projects on track, and customers satisfied. This month’s edition of The Drop highlights five features that will simplify your workflow, helping you work smarter, not harder.

Ready to fall for your workflow again? Dive into The Drop now →


?? See Simplicity in Action: AI Agent Builder

We’ve been talking about simplifying AI—now see just how easy it can be.

?? Postman’s AI Agent Builder removes the friction from designing, testing, and launching AI agents by bringing LLMs, APIs, and workflows into one seamless platform. No complex setup, no endless debugging—just a simple way to build intelligent, adaptive systems that work.

Watch the video to see how you can:

? Compare LLMs effortlessly to find the right fit

? Design agent workflows—without writing code

? Test and iterate all within Postman—no infrastructure needed.

Want to try it yourself? Start building today → Postman AI Agent Builder


?? Worth a Listen

The Stack Overflow Podcast: Robots building robots in a robotic factory

Stack Overflow chats with Sterling Chin, Senior Developer Advocate at Postman, about the emergence of AI APIs, the importance of quality APIs for AI integrations, the evolving role of GraphQL, and the future of data access in the agentic era. Listen to the podcast →

?? Worth a Watch

Streamline LLM Integration with Postman's AI Protocol

Working with multiple AI models can be complex, with different authentication methods, parameters, and response formats. A unified AI protocol simplifies everything, providing a single interface to integrate LLMs seamlessly. This video walks you through how to set up, test, and optimize AI workflows effortlessly. Watch on YouTube →

??? Postman Pro Tip

APIs Don’t Have to Be Hard—Level Up with Postman Academy

Getting started with APIs can feel overwhelming, but the right tools make all the difference. Postman Academy offers free, self-paced courses to help you build, test, and debug APIs without the frustration. Start learning →


That’s a wrap! ??

We’re all about making AI and APIs easier to work with—and we’d love to hear what you think of this edition of The Postman Blurb. Drop a comment and let us know!

If this issue helped simplify your workflow, share it with your network and keep the conversation going.

Want more insights, tools, and pro tips every month? Make sure you subscribe to The Postman Blurb.

Until next time,

?? The Postman Team


Darshil S.

QA Lead | Test Automation Engineer | Agile Testing | Healthcare IT | API Testing | AI in QA | SDET

2 周

Curious to learn

回复
Amrin Kadri

QA with 5 yrs of exp.| Manual Testing| Database Testing

3 周

Thanks for sharing

回复
Jonathan Lucchesi

API & Developer Evangelist | Micro-Services <> CX Strategist | Passionate About All Things Mountain

3 周
Jan Bender

Solution Engineer | Bridging Tech and Business

3 周

Thanks, that’s pretty interesting and worth to know!

回复
Katrina Frolov

Head of Content Strategy @ Postman

3 周

Always appreciate rodric rabbah's POV!

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