Are AI Agents are taking over 2025?

Are AI Agents are taking over 2025?


AI agents are set to be one of the biggest tech shifts of 2025. If you’re looking to deepen your understanding of what truly makes a system agentic, here are some blogs, articles, and videos to get up to speed.

I especially appreciate Anthropic’s perspective ... many of us have been building what we thought were AI agents, only to realize they were just workflows. This distinction is key to designing AI that moves beyond automation to real autonomy.

Is the agent marketplace the next stop? Hire autonomous agents from a curated list or is it knowledge as a service, workflow automation or tools for LLMs...



Anthropic’s “Building Effective Agents”

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This article is pivotal for understanding the distinction between workflows and agents. Many of us confuse workflows (a series of predefined steps) with truly agentic systems.

“AI Agent Workflows and Architectures Masterclass”

This masterclass explores various implementation architectures for AI agents, including event-based systems. It discusses how components operate as independent units responding to events.

Sanjeev Mohan’s “Demystifying AI Agents: Frequently Asked Questions (FAQ)”

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A beginner-friendly, FAQ-style article that simplifies the complex world of AI agents. It breaks down the building blocks, making it an ideal starting point.

“Build Generative AI Agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain”

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This blog and video explanation demonstrates how to integrate various AWS services to construct generative AI agents.

Swapan Rajdev’s “Understanding Agentic AI Architecture”

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A detailed exploration of agentic architectures and frameworks, this article goes deep into practical considerations and the current ecosystem. It’s perfect for those wanting a structured overview of how to approach agentic AI from a systems perspective.


“Enabling Complex Generative AI Applications with Amazon Bedrock Agents”

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This Blog post discusses how Amazon Bedrock Agents facilitate the development of generative AI applications. It explains how developers can leverage Bedrock Agents to connect multiple AI agents through LangGraph.


AI agents need to think, reason, and hopefully auto heal. As we move into 2025, the challenges I see is not just to implement AI agents, but to build truly autonomous systems that go beyond simple automation.

Validate what you’re building against best practices—are your agents really autonomous, or just workflows?

Think about knowledge as a service—where does straight knowledge access make sense, and how can it be shared dynamically across applications?

Create the right playground—AI agents will need a way to communicate, discover, and interact with each other. What protocols and frameworks will facilitate this?

Expose and classify your data—if we want true autonomy, structuring data access might be the first building block toward AI agents that can operate independently.



I am curious to see a true autonomous AI agent end-customer use case. As a marketing person, researcher and consumer I have not yet seen something that impressed me. But, I am super positive! As a consumer I would be happy to see companies using intelligence, does not even have to be artificial.

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