The software landscape is undergoing a significant shift from passive business processes to dynamic, AI-driven workflows. AI agents, systems that interact with APIs, make decisions, and execute complex tasks, are at the forefront of this transformation. However, building these agents is a challenge, requiring developers to integrate multiple tools, testing frameworks, and APIs. Recognizing this shift, Postman has introduced AI Agent Builder, a suite of tools designed to simplify the creation, testing, and deployment of AI agents.

This new offering aims to democratize agent development, allowing teams to focus on designing intelligent workflows rather than wrestling with technical overhead. AI Agent Builder provides three key AI-driven capabilities that enhance API development and testing: evaluating and comparing large language models (LLMs) based on performance and cost, orchestrating intelligent automations as agentic workflows, and discovering and integrating relevant APIs as agent tools without coding complexity.

One of the key features of AI Agent Builder is its AI Protocol, which extends Postman's existing API testing platform to handle AI model interactions. By treating large language models like powerful APIs, development teams can systematically test both system and user prompts, configure model properties for desired creativity or predictability, and benchmark performance based on response time, accuracy, and cost. This approach helps prevent fragmentation across multiple LLM providers by enabling side-by-side comparisons and centralized metrics.

Another significant feature is Postman's Agent Builder, which uses the platform's Flows visual programming interface to create multi-step workflows that integrate both API requests and AI interactions – no extensive coding required. With full integration of the new Postman AI protocol, developers can embed LLMs into their automation sequences to enable dynamic, adaptive, and intelligence-driven processes. Flows also includes low-code building blocks for conditional logic, scripting capabilities for custom scenarios, and built-in data visualization and reporting, enabling teams to quickly tailor workflows to specific business requirements, reduce development overhead, and deliver actionable insights faster.

Postman's API Discovery and Tool Generation capabilities add the ability to find and integrate the right APIs to use with AI agents. By leveraging Postman's network of more than 100,000 public APIs, developers can automatically generate "agent tools," removing the need to manually write wrappers or boilerplate code for those APIs. This scaffolding step includes specifying which agent framework (e.g., Node.js, Python, Java) and which target LLM service or library the agent will use, even if official SDKs don't exist yet.

By combining AI model testing, low-code agent building, and tool discovery in one platform, Postman helps developers standardize how AI workflows and traditional APIs intersect. Teams can build on familiar API practices – such as versioning, environment variables, and collaboration – while extending them to AI-powered services. This unified approach fosters consistent testing, quality standards, and data management across both conventional APIs and AI-driven workflows.

For organizations looking to operationalize AI, these capabilities provide a smooth pathway from prompt engineering and multi-LLM evaluation to production-grade intelligent automation, without juggling multiple platforms, integrations, or tools. With AI Agent Builder, Postman aims to simplify and unify AI development workflows, making it easier for businesses to harness the power of AI in their operations.

Rodric Rabbah, the head of product for Flows at Postman, is an accomplished entrepreneur and technologist who founded Nimbella, a serverless cloud company that was successfully acquired by DigitalOcean. He is the main creator and developer behind Apache OpenWhisk, the open-source platform for serverless computing.

For deeper technical details and documentation, visit the official Postman AI Agent Builder documentation. Whether you're a newcomer experimenting with LLMs or a seasoned pro looking for enterprise-grade testing and integration, Postman's latest features aim to simplify and unify your AI development workflow.