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Author: Mohamed Hamdy

Low-poly green AI agent bust wearing a headset and microphone with a speech bubble, symbolizing a LangChain agent or chatbot for a tutorial on building practical agents

LangChain Agents Tutorial: Build Practical Agents

LangChain agents tutorial: step-by-step guide to build LangGraph agents with tool calling, memory, and production-ready best practices.

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Green low-poly 3D handshake icon with two gears above, representing CrewAI and n8n integration for hybrid agent workflows and automated orchestration.

Integrating CrewAI with n8n: Hybrid Agent Workflows

Learn to integrate CrewAI with n8n for hybrid agent workflows, secure deployment, and human-in-the-loop approval.

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Low-poly green illustration of a four-person marketing agent crew with laptop and headset, representing a marketing team for a 2026 guide

Building a Marketing Agent Crew: 2026 Guide

How to build a marketing agent crew in 2026 — roles, architecture, and a clear step-by-step setup for autonomous marketing.

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Low-poly green server tower, laptop, and gear icon on white background representing on-prem local LLM setup for CrewAI 2026 guide

Setting up CrewAI with Local LLMs — 2026 Guide

Set up CrewAI with local LLMs (Ollama). Keep data private, cut API costs, and run agents on your own hardware.

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Low-poly green illustration of user avatars on a laptop screen with a magnifying glass highlighting one avatar, symbolizing selecting and recruiting research agents for a team.

How to Build a Research Agent Team

Step-by-step guide to set up a research agent team: roles, tech stack, workflows, and deployment options for your organization.

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Three low-poly connected busts with a central green figure and two white figures on a shared base, symbolizing a networked AI team structure for a CrewAI beginner tutorial.

CrewAI Tutorial for Beginners: Build Your First AI Team

Step-by-step CrewAI tutorial for beginners to build and run a multi-agent AI crew. Includes setup, agents, tasks, and deployment tips.

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Low-poly green dollar sign next to connected cube nodes representing a multi-agent system, illustrating infrastructure and operational costs of running MAS in 2026

Cost of Running Multi-Agent Systems in 2026

Get a clear breakdown of the cost of running multi-agent systems, tokens, storage, orchestration, and hidden ‘chatter tax’ to budget effectively.

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Green low-poly piggy bank next to stacks of coins symbolizing operational and infrastructure costs of running multi-agent systems

Cost of Running Multi-Agent Systems (2026 Guide)

Understand the real cost of running multi-agent systems: compute, storage, orchestration, and upkeep to plan your 2026 budget.

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Low-poly green human head with a speech bubble and floating document icons representing AI agent memory, context management, and information storage

Agent Memory and Context Management Explained

Practical guide to agent memory and context management: make AI agents remember, cut token costs, and keep workflows reliable.

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Stylized polygonal green robot typing at a desktop computer, symbolizing AI workforce automation and building AI teams for a 2026 practical guide

Building an AI Workforce: 2026 Practical Guide

Build an AI workforce in 2026 – deploy digital employees, integrate systems, and secure your data.

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