Pranay Batta

Pranay Batta

Building Reliable AI Agents: How to Ensure Quality Responses Every Time

Building Reliable AI Agents: How to Ensure Quality Responses Every Time

AI agents are like new hires. If you give them a half-baked job description and never check their work, they’ll embarrass you in front of the client. Give them a clear mandate, reliable feedback loops, and the right tools, and they’ll crush deadlines while you sip coffee. In

Agent Observability: The Definitive Guide to Monitoring, Evaluating, and Perfecting Production-Grade AI Agents

Agent Observability: The Definitive Guide to Monitoring, Evaluating, and Perfecting Production-Grade AI Agents

AI agents have stormed out of research labs and into every corner of the enterprise, from customer-facing chatbots that field millions of support tickets to multi-step decision-making agents that reconcile invoices or craft marketing campaigns. Yet, as adoption accelerates, one uncomfortable truth keeps resurfacing: agents behave probabilistically. They hallucinate, drift,

Prompt Engineering Platforms That Actually Work: 2025’s Top Picks

Prompt Engineering Platforms That Actually Work: 2025’s Top Picks

Prompt engineering used to be a side-quest for power users who liked to poke large language models and see what spilled out. In 2025 it is core infrastructure. Pick the wrong platform and you will spend more time debugging token storms, hallucinations and compliance audits than shipping features. Pick the

Agent Simulation & Testing Made Simple with Maxim AI

Agent Simulation & Testing Made Simple with Maxim AI

Generative-AI agents do more than answer one question, they maintain context, call external APIs, enforce refund policies, and handle sensitive data. Releasing such systems without systematic testing risks hallucinations, privacy breaches, and broken user journeys. Maxim’s Agent Simulation module turns quality assurance into a repeatable, dataset-driven discipline. This article