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Building Custom Evaluators for AI Applications: A Complete Guide

Building Custom Evaluators for AI Applications: A Complete Guide

Pre-built evaluation metrics cover common quality dimensions like accuracy, relevance, and coherence. However, production AI applications require validation against domain-specific business rules, compliance requirements, and proprietary quality standards that generic evaluators cannot assess. Custom evaluators enable teams to enforce these specialized quality checks across AI agent workflows, ensuring applications meet
Kuldeep Paul
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