Topic Cluster

AI Agents

Build autonomous AI agents that reason, use tools, and accomplish complex tasks.

13 articles in this topic

Jan 14, 2026

Human-in-the-Loop for AI Agents: When to Require Approval

Learn when AI agents should require human approval before taking action. Practical guidance on balancing automation efficiency with risk management based on real production implementations.

Jan 13, 2026

Function Calling vs ReAct Agents: Which Pattern Fits Your Use Case

Compare function calling and ReAct agent patterns with practical guidance on when to use each. Learn implementation tradeoffs, performance characteristics, and decision frameworks.

Dec 9, 2025

How to Make AI Agents Remember Context Across Conversations

AI models are stateless by design. Learn practical memory architectures—from context window management to vector databases—that let agents maintain conversation history and user preferences.

Nov 13, 2025

How many reasoning steps do AI agents need for optimal performance

Learn how to optimize AI agent reasoning loops for production systems. Practical guidance on determining optimal step counts, preventing infinite loops, and balancing agent autonomy with performance based on real implementations.

Nov 6, 2025

How to Design REST API Endpoints for AI Applications

A practical guide for technical teams designing REST API endpoints for AI systems, covering request patterns, streaming responses, error handling, and performance optimization strategies used in production environments.

Oct 27, 2025

LangChain vs LlamaIndex vs Building from Scratch: Which Option Works for Your AI Project

Compare LangChain, LlamaIndex, and custom development for AI applications. Learn which framework fits your project scope, timeline, and technical requirements.

Oct 21, 2025

When to Use Multi-Agent AI Systems vs Single Agents for Business Automation

Multi-agent systems solve different problems than single agents. Here's how to choose the right AI architecture based on your actual workflow complexity and team capabilities.

Oct 8, 2025

How to Make AI Agents Use Tools Correctly: A Practical Implementation Guide

Learn proven techniques to ensure AI agents select and execute tools accurately. Practical guidance on prompt design, validation, and error handling for reliable agent systems.

Sep 29, 2025

What is MCP? Understanding Model Context Protocol

A comprehensive guide to Model Context Protocol (MCP) - the new standard for AI agent integration. Learn how MCP works, its business benefits, and practical implementation strategies from real-world experience at Particula Tech.

AI Agents

Human-in-the-Loop for AI Agents: When to Require Approval

Function Calling vs ReAct Agents: Which Pattern Fits Your Use Case

How to Make AI Agents Remember Context Across Conversations

How many reasoning steps do AI agents need for optimal performance

How to Design REST API Endpoints for AI Applications

LangChain vs LlamaIndex vs Building from Scratch: Which Option Works for Your AI Project

When to Use Multi-Agent AI Systems vs Single Agents for Business Automation

How to Make AI Agents Use Tools Correctly: A Practical Implementation Guide

What is MCP? Understanding Model Context Protocol

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