Building Aira, Postman’s Product Research Agent
Blog post from Postman
At the company, an AI agent named Aira was developed to streamline product research by automating the analysis of user feedback. Built on the Postman agent platform, Aira scans issue trackers, extracts insights, and integrates them into existing workflows like Slack, enabling product managers to act on data more efficiently. Initially utilizing the GPT-4.1 model, the project quickly evolved to incorporate a knowledge graph and a reasoning-class model, enhancing its ability to provide cross-issue analysis. The project focused on reusable, composable components, which not only improved Aira but also laid the groundwork for future agents. Despite challenges like hallucination risks and data retrieval issues, the agent's integration into Slack facilitated natural adoption across teams, leading to faster decision-making and a more collaborative environment. The success of Aira has prompted the company to explore deeper integrations, collaborations with other agents, and domain-specific improvements, highlighting the potential for AI agents to transform workflows by acting as digital teammates.
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