Understand how to choose execution models, infrastructure layers, and deployment topologies for production AI agents.
Author Archive | Vinod Chugani
Introduction to Small Language Models: The Complete Guide for 2026
Learn when small language models outperform large models while cutting AI deployment costs by 95%.
Top 7 Small Language Models You Can Run on a Laptop
Compare seven small language models for local deployment with hardware requirements and specific use cases.
The 7 Biggest Misconceptions About AI Agents (and Why They Matter)
Learn the seven misconceptions that cause AI agent projects to fail in production environments.
Agent Evaluation: How to Test and Measure Agentic AI Performance
Learn how to evaluate AI agent performance using the Four Pillars framework: task success, tool quality, reasoning coherence, and cost efficiency.
7 Important Considerations Before Deploying Agentic AI in Production
Discover why 40% of agentic AI projects fail and how to avoid common deployment pitfalls.
The 3 Invisible Risks Every LLM App Faces (And How to Guard Against Them)
Discover the three invisible security risks facing every LLM application and the guardrail solutions that protect against them.
The 2026 Time Series Toolkit: 5 Foundation Models for Autonomous Forecasting
Foundation models replace traditional forecasting with pretrained transformers that enable zero-shot predictions on unseen data.
Mastering LLM Tool Calling: The Complete Framework for Connecting Models to the Real World
Learn the three-pillar framework for building production-ready LLM agents using data access, computation, and actions tools.
7 Agentic AI Trends to Watch in 2026
Discover the seven emerging trends reshaping agentic AI in 2026, from multi-agent orchestration to production scaling challenges.