Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS
How to Evaluate AI Agents and Agentic Workflows: A Comprehensive Guide

How to Evaluate AI Agents and Agentic Workflows: A Comprehensive Guide

AI agents have evolved beyond simple question-answer systems into complex, multi-step entities that plan, reason, retrieve information, and execute tools across dynamic conversations. This evolution introduces significant evaluation challenges. Unlike traditional machine learning models with static inputs and outputs, AI agents operate in conversational contexts where performance depends on maintaining
Kuldeep Paul
Top 5 Prompt Versioning Tools for Enterprise AI Teams in 2026

Top 5 Prompt Versioning Tools for Enterprise AI Teams in 2026

TL;DR Prompt versioning has become critical infrastructure for enterprise AI teams shipping production applications in 2026. The top five platforms are Maxim AI (comprehensive end-to-end platform with integrated evaluation and observability), Langfuse (open-source prompt CMS), Braintrust (environment-based deployment with content-addressable versioning), LangSmith (LangChain-native debugging and monitoring), and PromptLayer (Git-like
Kuldeep Paul
Top 5 Platforms to Evaluate and Observe RAG Applications in 2026

Top 5 Platforms to Evaluate and Observe RAG Applications in 2026

TL;DR Retrieval-Augmented Generation (RAG) systems require comprehensive evaluation and observability platforms to ensure accuracy, reliability, and production readiness. This guide examines the five leading platforms in 2026: Maxim AI (full-stack platform with experimentation, simulation, evaluation, and observability), LangSmith (deep LangChain integration with strong tracing capabilities), Arize AI (open-source observability
Kuldeep Paul