In this article, you will learn where traditional machine learning reaches its limits, what agentic reasoning adds, and how combining the two produces AI systems more capable than either approach alone.
Author Archive | Vinod Chugani
Chain of Thought vs. Tree of Thoughts: Which is Best for AI Agents?
Compare Chain of Thought and Tree of Thoughts reasoning to understand which approach best fits your AI agent.
Single-Agent vs. Multi-Agent Systems: When the Complexity Is Worth It
In this article, you will learn the key differences between single-agent and multi-agent AI systems, and how to decide which architecture fits your problem.
Comparing Local Tool Calling: Gemma 4 vs. Llama 3 vs. Mistral
In this article, you will learn how Gemma 4, Llama 3, and Mistral implement tool calling locally, and what trade-offs each model family presents for real-world deployment.
How to Build a Robust RAG System with Minimal Resources
Build a fully local RAG system on a laptop using quantized models, compact embeddings, and file based indexes.
7 Regression Tests Every AI Agent Should Pass Before Deploy
In this article, you will learn seven concrete regression tests for catching the orchestration-layer failure modes that matter most before deploying an AI agent to production.
7 Async Patterns for Running Agents Concurrently in Python
In this article, you will learn seven async patterns for running AI agents concurrently in Python, what each pattern is suited for, and the production-level pitfalls to watch out for with each.
Identifying Token Costs Hiding in Your Agentic Loop
Learn how context accumulation, retry loops, and static prompts silently inflate token costs in agentic AI systems.
7 Chunking Strategies That Decide Whether Your RAG Works
Discover 7 chunking strategies for RAG pipelines and learn which approach fits your document type and query needs.
Ollama vs. LM Studio vs. llama.cpp: Which Local AI Runtime Should You Use in 2026?
Compare Ollama, LM Studio, and llama.cpp across five key dimensions to find the right local AI runtime for your workflow.