Anthropic’s Alex Albert (Claude Relations) sits down with Erik Schluntz (Multi-Agent Research and co-author of our blog post, Building Effective Agents) for a discussion on the evolution of agents over the past six months, including tips for building multi-agent systems, common multi-agent patterns, and best practices for using skills, MCP servers, and tools.

00:00 - Introductions
00:35 - Training Claude to tackle agentic tasks
1:30 - Making Claude more autonomous with code
3:20 - Using the Claude Agent SDK to build agents
5:00 - Tips for using Agent Skills
6:40 - The evolution of workflows and agents (workflows of agents)
8:30 - The value of simple agent architectures
9:30 - Building multi-agent systems: orchestrators, subagents, and tool calling
11:40 - Training Claude to use subagents
12:25 - Multi-agent use design patterns: parallelization, MapReduce, and test-time compute
13:20 - Coordinating problem solving with tools and subagents
14:15 - Common agent failure modes
15:00 - Best practices for getting started with building agents (context engineering, MCPs, and tools)
17:15 - The future of agents: coding, computer use, and beyond

Read the original blog post: https://www.anthropic.com/engi....neering/building-eff
Learn more about Agent Skills: https://www.anthropic.com/engi....neering/equipping-ag

Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4

Boost your productivity with Vectal: https://[a]www.vectal.ai%2F[/a]

DEVELOPERS, I'M HIRING! Apply here: https://forms.gle/NbLaQNwAE6d9kkWs7

Wanna start a business with AI Agents? Go here: https://www.skool.com/new-society

n8n: https://n8n.partnerlinks.io/80qtp72nd4eh
Docs: https://docs.n8n.io/integrations/

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Subscribe if you're serious about AI.

here's how to automate anything with n8n - the make.com killer

www.vectal.ai

This video contains affiliate links. If you buy through these links, I may earn a commission at no extra cost to you.

Hi my name is Chris and I build productivity apps 👋 and this is EVERYTHING I learned building an AI agent using the Anthropic Agent SDK :)

---
Check out Convex (database I'm using): https://convex.link/chrisraroque
(please tell them I sent you 🙏)
---

My apps and socials: https://chrisraroque.com
My agency (work with me): https://aloa.co/

Timestamps:
0:00 – Intro / What we are covering
1:03 - What I built with the Agent SDK
2:28 - How Agents Work & Agent SDK Bascs
4:50 - What makes the Agent SDK special
7:55 - Using Convex as the database for my agent
9:19 - Building tools for the agent
10:28 - Agent Skills
12:32 - Agent memory
14:24 - Why I could not release my agent
17:07 - Practical use cases for agents
18:26 - Deploying agents
19:47 - Final thoughts and thank you :)

#appdevelopment #dayinthelife #softwareengineer #startup #softwaredev #indieappdeveloper #dayinthelifecoding #codewithme #buildinpublic #vlog

Get 20% off NVIDIA certification exams using the code "TechWithTim20" from here: https://nvda.ws/46Sehq8

Today we're diving deep into one of the hottest topics in AI right now. Building actual agents in Python. Not just chat bots to respond to your queries, but autonomous systems with memory goals and the ability to take actions in the world.

Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter

⏳ Timestamps ⏳
00:00 | AI Agents
00:37 | NVIDIA Free AI Courses
01:38 | AI Agent Building Blocks
05:30 | Python Frameworks
09:01 | Python Tools
09:40 | AI Agent Patterns
13:15 | Picking Your Stack

Hashtags
#Nvidia #AiAgents #Python

Not only have I built hundreds of AI agents myself, I've seen other people build thousands of AI agents for every use case under the sun. The people who are the most successful are the ones who don't overcomplicate it - and I want that to be you too.

It's easy to think building AI agents is super complicated, but honestly you can learn 90% of what you need to know (and what to focus on) from this video. No matter how you're building your agents, I'll show you here what you need to think about, and more importantly what you shouldn't worry about when you're first creating your agent.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Platforms mentioned in this video (most are open source!):

- Synk for automated AI-native app security:
https://snyk.plug.dev/xgmYQhO
- Guardrails AI for agent guardrails:
https://github.com/guardrails-ai/guardrails
- Pydantic AI for the AI Agent framework:
https://ai.pydantic.dev/
- Mem0 for long term memory:
https://mem0.ai
- Langfuse for agent observability:
https://langfuse.com/
- Docker for deployment:
https://www.docker.com/

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

- If you want to master AI coding assistants and learn how to build systems for reliable and repeatable results, check out the new Agentic Coding Course in Dynamous:
https://dynamous.ai/agentic-coding-course

- Here is the repo for the super simple AI Agent we built in this video:
https://github.com/coleam00/ot....tomator-agents/tree/

- Here is the system prompt template I covered:
https://docs.google.com/docume....nt/d/1-OB4ZMg20pIRVm

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Thanks to Snyk for working with me on the security portion of this video! It's been a pleasure and I really do believe Snyk is on the forefront of software/agent/AI coding security especially with their new MCP server:
https://docs.snyk.io/integrati....ons/snyk-studio-agen

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

00:00 - Master the First 90% of Building AI Agents
01:38 - The 4 Core Components of AI Agents
03:06 - The First 3 Steps of Building an Agent
04:09 - Building a Basic AI Agent Together Live
09:17 - Choosing Your LLM
10:34 - Crafting Your System Prompt
12:20 - Creating Your Tools (Agent Capabilities)
14:26 - AI Agent Security
15:32 - Guardrails AI
16:45 - Snyk MCP Server
19:45 - Managing Agent Context (Memory)
22:05 - Mem0 for Long Term Agent Memory
23:53 - Agent Observability (with Langfuse)
26:28 - Agent Deployment (with Docker)
28:41 - Final Thoughts

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!

My AI Toolkit: https://academy.jeffsu.org/ai-toolkit?utm_source=youtube&utm_medium=video&utm_campaign=177

Understanding AI Agents doesn't require a technical background. This video breaks down the evolution from basic LLMs like #ChatGPT to AI Workflows and finally to true #AI Agents through practical, real-world examples.

Learn the key differences between these technologies and discover how concepts like RAG and ReAct actually work in simple terms. Perfect for regular AI users who want to understand how these emerging technologies will impact their daily lives.

*TIMESTAMPS*
00:00 AI vs. AI Agents
01:04 Level 1: LLMs
02:17 Level 2: AI Workflows
05:26 Level 3: AI Agents
07:48 Real-world Example
09:10 Summary

*RESOURCES MENTIONED*
Helena Liu's AI Workflow Tutorial: https://youtu.be/H0YRniHh2tg
Andrew Ng's AI Agent Demo: https://youtu.be/KrRD7r7y7NY

*BE MY FRIEND:*
📧 Subscribe to my newsletter - https://www.jeffsu.org/newsletter/?utm_source=youtube&utm_medium=video&utm_campaign=description
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🤝 LinkedIn - https://www.linkedin.com/in/jsu05/

*MY FAVORITE GEAR*
🎬 My YouTube Gear - https://www.jeffsu.org/yt-gear/
🎒 Everyday Carry - https://www.jeffsu.org/my-edc/

*MY TOP 3 FAVORITE SOFTWARE*
❎ CleanShot X - https://geni.us/cleanshotx
✍️ Skillshare - https://geni.us/skillshare-jeff
💼 Teal - http://tealhq.co/jeffsu

#aiagents

Want to start freelancing? Let me help: https://go.datalumina.com/AnPJSFV
Want to learn real AI Engineering? Go here: https://go.datalumina.com/nxqQtsA

New to Python? Watch my FREE Python for AI Course:
https://youtu.be/ygXn5nV5qFc

💼 Need help with a project?
Work with me: https://go.datalumina.com/TMGbUvO

🔗 GitHub Repository
https://github.com/daveebbelaa....r/ai-cookbook/tree/m

🔗 Other links
https://www.anthropic.com/rese....arch/building-effect
https://platform.openai.com/do....cs/api-reference/int

🛠️ My VS Code / Cursor Setup
https://youtu.be/mpk4Q5feWaw

⏱️ Timestamps
0:00 Introduction
2:45 Basic API Call
5:10 Structured Output
8:00 Using Tools
18:31 Memory and Retrieval
24:35 Building an AI Calendar Agent
34:59 Prompt Chaining
37:56 Routing Requests
41:57 Parallelization
46:18 Deploying Your AI Application

📌 Description
In this tutorial, we’ll cover everything you need to start building AI agents in pure Python. We’ll start with the essential building blocks and then dive into workflow patterns for more reliable systems. To follow along, basic Python skills are recommended, along with familiarity with the OpenAI SDK and an API key. I highly recommend cloning the GitHub repository so you can work through the code step by step. Watch me go through it first, then try it yourself to reinforce your understanding. I move quickly to cover a lot in 45 minutes, but you can always pause, rewind, or ask ChatGPT for help.

👋🏻 About Me
Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!

🖥️ Download the free AI Agents Resources: https://clickhubspot.com/39c59b

More from Futurepedia:
👉 Join the fastest-growing AI education platform! Try it free and explore 20+ top-rated courses in AI: https://bit.ly/futurepediaSL

Links:
n8n - https://n8n.partnerlinks.io/Futurepedia

Summary
If you're new to AI agents, this is the perfect place to start. In just 25 minutes, you'll learn exactly what an AI agent is, how it differs from traditional automations, and how to build one from scratch using n8n — no coding required. We’ll cover the core components of agent systems, how to set up guardrails, how agents interact with APIs, and what kinds of tools they can use. By the end, you'll have a working AI agent that can think, remember, and take action — and a clear understanding of how to build more. This is a hands-on, beginner-friendly guide designed to take you from zero to a working agent with practical, real-world applications.

Chapters
0:00 Intro
0:33 What is an Agent?
0:54 Agents vs. Automations
2:09 3 Main Components
3:29 Types of Systems
4:25 Guardrails
5:05 Resources
6:01 Recap
6:58 APIs and HTTP Requests
9:07 What Can You Build?
9:52 n8n Overview
11:08 Agent Build Overview
12:12 Set Trigger
12:26 AI Agent Node
13:20 Connect the Brain
14:40 Setting up Memory
15:54 Adding Tools
22:48 Testing and Debugging
24:53 Possibilities From Here

Leverage AI agents with the FREE Master AI Agents Playbook: https://clickhubspot.com/7002aa

Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

🖱️Links mentioned in video
========================
OpenAI components: https://platform.openai.com/docs/guides/agents
Anthropic's building AI agents article: https://www.anthropic.com/engi....neering/building-eff
financial agent: https://github.com/hellotinah/financial_agent
Y Combinator YT channel: https://www.youtube.com/@ycombinator

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

⏰Timestamps
========================
00:00 — Intro
00:41 — Video structure
01:36 — AI agent definition & use cases
04:23 — AI agent components
13:28 — Quiz 1
14:25 — AI agent workflows & implementation
23:17 — Prompt engineering for AI agents
26:58 — Quiz 2
27:21 — Demo 1: Customer Support AI Agent using n8n
29:19 — Demo 2: News Aggregator AI Agent using n8n
31:06 — Demo 3: Daily Expenses Tracker AI Agent using n8n
32:54 — Demo 4: Financial Research AI Agent using OpenAI Agents SDK
38:10 — AI agents bootcamp
38:33 — How to decide what AI agent to build

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: hellotinah@gmail.com

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

Full courses + unlimited support: https://www.skool.com/ai-autom....ation-society-plus/a
All my FREE resources: https://www.skool.com/ai-automation-society/about
Work with me: https://uppitai.com/

My Tools💻
14 day FREE n8n trial: https://n8n.partnerlinks.io/22crlu8afq5r
Code NATEHERK to Self-Host n8n for 10% off (annual plan): http://hostinger.com/nateherk
Voice to text: https://ref.wisprflow.ai/nateherk



In this video, I break down building an AI Agent so simply even a 10-year-old could do it! I’ll walk you through what an AI agent is and how to build a basic email agent in n8n that can automatically send emails for you.

No coding experience? No problem! I’ll guide you step-by-step, showing just how quick and easy you can get this set up. By the end of this video, you’ll have your very own email-sending AI agent up and running in no time.


Sponsorship Inquiries:
📧 sponsorships@nateherk.com

WATCH NEXT:
https://youtu.be/u2Tuu02r7QI

TIMESTAMPS
00:00 Components of an AI Agent
03:50 Step 1: Chat Input
04:18 Step 2: Adding the Brain
05:49 Step 3: Adding Memory
07:45 Step 4: Adding Send Email Tool
10:21 Step 5: Adding Instructions (System Message)
12:04 Testing the Email Agent
13:43 Reviewing the Agent Log
15:00 Step 6: Adding Contact Database Tool
16:57 Final Test
18:05 Final Thoughts

Gear I Used:
Camera: Razer Kiyo Pro
Microphone: HyperX SoloCast
Background Music: https://www.youtube.com/watch?v=Q7HjxOAU5Kc&t=0s

Anthropic’s Barry Zhang (Applied AI), Erik Schluntz (Research), and Alex Albert (Claude Relations) discuss the potential of AI agents, common pitfalls to avoid, and how to prepare for the evolving landscape.

Read more advice on building agents: https://www.anthropic.com/rese....arch/building-effect

00:00 Introduction
00:26 Defining AI agents and workflows
02:55 Anatomy of an agent prompt
04:29 Behind the scenes stories
07:29 Why write about agents now
08:53 Overhyped and underhyped aspects of agents
09:57 Identifying useful applications of agents
10:47 Coding agents: Potential and challenges
12:47 The future of agents in 2025
16:26 Advice for developers exploring agents

AI Agents Explained: A Comprehensive Guide for Beginners by Alfie Marsh Co-Founder & CEO of https://www.getstation.ai/

(0:00) Introduction to AI Agents
(0:23) What is an AI Agent?
(0:49) How AI Agents Differ from Traditional Software
(1:36) AI Agents vs Large Language Models (LLMs)
(2:50) How AI Agents Work
(3:16) Component 1: Planning
(3:47) Component 2: Interacting with Tools
(4:10) Component 3: Memory and External Knowledge
(5:07) Component 4: Executing Actions
(5:39) Risks and Future of AI Agents
(6:30) Conclusion

In this video, Alfie Marsh, Co-Founder & CEO of Station AI, unpacks the world of AI agents and explains how they are evolving to become an integral part of our lives. Discover what AI agents are, how they differ from traditional automations and other large language models (LLMs) like GPT, Claude, and Gemini, and explore real-world examples of AI agents in action.

Learn about the key components that make up AI agents, including their ability to plan, interact with tools, store memory, access external knowledge, and execute actions autonomously. Alfie also discusses the potential risks and the future of AI agents as they become more sophisticated with advancements in language models like GPT-4 and beyond.

Whether you're interested in building AI agents, understanding how they work, or exploring no-code solutions and tutorials, this video provides a comprehensive overview of AI agents and their growing importance in our lives and careers.

👍 If you've enjoyed the video, then subscribe to our channel for more! 👇
https://www.youtube.com/@go9x?sub_confirmation=1

Learn how to build AI agents from scratch in this beginner-friendly tutorial!

Jan breaks down the complex world of AI agents into simple, understandable components and shows you how to create a fun "Santa's Helper" agent that researches toys and sends wish lists - all without writing a single line of code.

What you'll learn:
▶︎ Understanding AI agent components and architecture
▶︎ Setting up large language models (LLMs)
▶︎ Implementing agent memory systems
▶︎ Writing effective agent system prompts
▶︎ Connecting research and web search tools
▶︎ Automating email communications
▶︎ Testing and debugging agents
▶︎ Real-world business applications

⏰ TIMESTAMPS
00:00 What are AI agents and how do they work
00:30 AI agent components and architecture explained
02:31 Understanding agent tools and capabilities
05:19 Building your first agent in n8n
06:30 Connecting language models to your agent
07:37 Why memory is crucial for AI agents
09:35 Creating effective system prompts for agents
12:08 Adding web search capabilities to agents
14:38 Setting up email automation tools
15:26 Testing and debugging your AI agent
18:22 Business use cases and advanced applications

📚 RESOURCES MENTIONED
https://www.youtube.com/watch?v=SzPE_AE0eEo
https://www.youtube.com/watch?v=6BRyynZkvf0
https://www.youtube.com/watch?v=vgncj7MJbVU
https://www.youtube.com/watch?v=0GX7xEeRPIo

👨‍🏫 OUR COURSES
🆓 AI Starter Course: https://go9x.me/ceosy5
🧠 AI Operator Course: https://go9x.me/dh1te0
🤖 AI Builder Course: https://go9x.me/g7dv14

🤝 CONNECT WITH 9x
🌐 9x Website: https://go9x.me/q2smyf
💻 9x LinkedIn - https://www.linkedin.com/company/go9x/
💭 Jan - https://www.linkedin.com/in/jan-meinecke/
💭 Alex: https://www.linkedin.com/in/akantjas/
💭 PYV: https://www.linkedin.com/in/thisispyv/
📺 Subscribe - https://www.youtube.com/@go9x?sub_confirmation=1

#AIAgents #n8n #NoCode #Automation #AITutorial #Gemini #Perplexity #DigitalWorkers

📚 Get access to the AI Agents Full Guide & all my AI resources on Skool: https://bit.ly/skool-ov
📈 Become a Wildly Profitable AI Entrepreneur: https://bit.ly/aaa-accelerator-ov
🤝 Ready to transform your business with AI? Let's talk: https://bit.ly/morningside-ai-ov
📋 Get our FREE 14-day playbook for finding high-impact AI opportunities in any business: https://bit.ly/14-day-playbook

This full course on AI agents is segmented into three chapters: foundational understanding of AI agents, hands-on tutorials for building various AI use cases, and strategies for monetization. You’ll gain insights into the anatomy of AI agents, practical steps for creating them using no-code platforms, and real-world applications to seize the growing opportunities in AI.

Timestamps:
0:00 - What We’re Covering
2:39 - Why Learn to Build AI Agents?
5:39 - What Are AI Agents?
6:40 - Chatbot or Agent?
8:44 - Anatomy of an AI Agent
12:34 - The Three Ingredients
13:58 - The Web, APIS, and Tools Explained
17:04 - Anatomy of a Tool
18:40 - Schemas: API Instruction Manuals
23:00 - Advanced Tools Use
26:11 - Conversational or Automated Agents
29:23 - Real-World Applications
32:39 - Foundations Summary
35:00 - What We’re Building
38:34 - Build 1
1:11:12 - Build 2
1:47:44 - Build 3
3:01:29 - Build 4
3:35:29 - The Real Opportunity
3:39:47 - Three Ways to Win
3:41:30 - Extending Your Knowledge Gap
3:45:49 - Getting Your First Clients
3:48:46 - Next Steps

🖥️ Download the free AI Agents PDFs: https://clickhubspot.com/f865c2

More from Futurepedia:
👉 Join the fastest-growing AI education platform! Try it free and explore 20+ top-rated courses in AI: https://bit.ly/futurepediaSL

Summary:
AI Agents seem overwhelming, but in 2026, we've gotten to the point that any non-technical person can create and manage their own AI agents to accomplish tasks. I cover everything simply: what an agent actually is, what to automate, how to start, and build two agents step by step using two of the leading platforms. Then dive into common pitfalls and how to avoid them. This is everything you need to get started with building AI agents in 2026, no coding required.

Chapters
0:00 Intro
0:50 What is an agent?
1:37 Where we're at right now
2:08 What to automate first
4:58 How to start
7:01 Time to build
7:24 Build 1
14:04 Build 2
20:43 More complex agents
22:03 Zapier vs n8n
22:40 Common Pitfalls (and how to avoid them)
24:44 The real skill