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Anthropic’s Blueprint for Building Lean, Powerful AI Agents

2025-01-01 Science & Technology
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Prompt Engineering
Prompt Engineering
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Description

In this video, I dive into a must-read blog post from Anthropic about building agentic systems. I'll walk you through why starting with simple, composable patterns often outperforms complex frameworks like Crew AI, LanGraph, and Autogen. We'll explore architectures, code examples, and practical recommendations for when to use workflows over agents. LINKS: Blog: https://www.anthropic.com/research/building-effective-agents Github: https://github.com/anthropics/anthropic-cookbook/tree/main/patterns/agents 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Introduction to Agentic Systems 01:09 UAgents and Workflows 03:47 When to Use Agents vs. Workflows 05:15 Frameworks for Building Agentic Systems 07:45 Common Patterns in Agentic Systems 21:58 Implementing Agentic Systems: Code Examples All Interesting Videos: Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z

Top Comments (10)

@tollington9414 2025-01-01

I totally agree with this assessment- after all we are just calling a very simple API when working with LLMs - no need to learn a framework to do that

11
@harisjaved1379 2025-01-01

This is 100% true! I build a multi agent app on azure and it was too complex, the goal was to take a user request and use tools to perform analysis, the problem was that the requests we not always sent to the right agent, best to use a pre-defined / predictable paths.

4 3 replies
@OfficialChatbotBuilder 2025-01-02

I just did a live yesterday showing how to build powerful agents with no-code 🔥

3
@FinanceGraphics 2025-01-01

Beautiful

2
@verma.prashant 2025-01-03

I built this system 11 months ago; I am ahead of RAgentic 😂 time.

2
@oopsec 2025-01-01

Its all in the prompts, and the use of prompt chains.

1 1 replies
@sun-ship 2025-01-02

Thank you so much! This was very clarifying.

1
@saumyaranjannayak2101 2025-05-03

love the video!

0 1 replies
@VerdonTrigance 2025-07-31

btw, what's about tools permissions? when I do my own tools it's clear, but when I use 3rdparty agent with its own tools, how can I control it?

0
@niks4u93 2025-03-29

the way you teach is powerful

0

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