Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS
Choosing the Right AI Evaluation and Observability Platform: An In-Depth Comparison of Maxim AI, Arize Phoenix, Langfuse, and LangSmith

Choosing the Right AI Evaluation and Observability Platform: An In-Depth Comparison of Maxim AI, Arize Phoenix, Langfuse, and LangSmith

As AI agents become integral to modern products and workflows, engineering teams face increasing demands for reliability, quality, and scalability. Selecting the right evaluation and observability platform is crucial to ensure agents behave as intended across varied real-world scenarios. This article provides a comprehensive, technically detailed comparison of four leading
Kuldeep Paul
How to build a Real-Time AI Interview Voice Agent with LiveKit and Maxim: A Technical Guide

How to build a Real-Time AI Interview Voice Agent with LiveKit and Maxim: A Technical Guide

AI-powered interview agents are rapidly transforming the recruitment landscape, enabling organizations to conduct scalable, consistent, and insightful candidate assessments. By leveraging real-time voice capabilities and advanced observability, these systems offer a glimpse into the future of automated interviewing. This guide presents a comprehensive walkthrough for building a robust AI Interview
Kuldeep Paul
Uncovering the Real Costs of Scaling Agentic AI: How Maxim AI Empowers Teams to Build, Evaluate, and Deploy with Confidence

Uncovering the Real Costs of Scaling Agentic AI: How Maxim AI Empowers Teams to Build, Evaluate, and Deploy with Confidence

Agentic AI is rapidly reshaping how organizations automate workflows, enhance customer experiences, and drive operational efficiencies. Yet, despite its promise, a significant proportion of agentic AI projects struggle to reach production, often derailed by hidden costs, infrastructure complexity, and unreliable evaluation processes. In this comprehensive guide, we examine the underlying
Kuldeep Paul