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

Check out HubSpot’s AI Agents Unleashed: Playbook for 2025 Success - https://clickhubspot.com/23bc50
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

I tested every no-code AI agent builder so you don’t have to.
From StackAI and Relevance AI to n8n, Flowise, Lindy, and Dify, this video breaks down the best platforms to create AI agents — without writing a single line of code.

You’ll learn:
⚙️ The core features and ideal use cases of each builder
🧩 How each platform handles automation, API integration, and LLM workflows
📈 When to use visual tools vs workflow orchestrators
💡 The difference between automations and dynamic agents — and why it matters
🚀 The easiest way to go from idea → AI agent → deployed product

We’ll explore:

StackAI for general-purpose agents and API publishing
Relevance AI for scalable workflows
n8n for powerful orchestration & branching logic
Flowise / Langflow for open-source prompt engineering
Dify and Lindy for hybrid and business automation
Botpress, Bubble, Make, MindStudio, and more

By the end, you’ll know exactly which no-code agent builder fits your workflow.

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

🔗 Tools & Resources Mentioned
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l
https://learn.deeplearning.ai/....courses/agentic-ai/l

🔗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
========================
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📲Socials
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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: [email protected]

========================
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! :)

MIT 6.7960 Deep Learning, Fall 2024
Instructor: Sara Beery
View the complete course: https://ocw.mit.edu/courses/6-....7960-deep-learning-f
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

This video provides a course overview and introduces deep neural networks, covering their fundamental concepts and basic building blocks. It sets the stage for understanding how these models work and what components they are built from.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 14.41, Public Finance and Public Policy, Fall 2024
Instructor: Prof. Jonathan Gruber
View the complete course: https://ocw.mit.edu/courses/14....-41-public-finance-a
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture Prof. Gruber discusses the importance of studying public finance, which is the role of the government in the economy. When should the government intervene? How should the government intervene? What is the effect of those interventions?


License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Continues discussion of natural language processing with a focus on embeddings, including stand-alone and contextual embeddings.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 8.04 Quantum Physics I, Spring 2013
View the complete course: http://ocw.mit.edu/8-04S13
Instructor: Allan Adams

In this lecture, Prof. Adams begins with a round of multiple choice questions. He then moves on to introduce the concept of expectation values and motivate the fact that momentum is given by a differential operator with Noether's theorem.

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu

MIT 6.622 Power Electronics, Spring 2023
Instructor: David Perreault

View the complete course (or resource): https://ocw.mit.edu/courses/6-....622-power-electronic
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture, we first review linear vs. switching regulators. We then introduce definitions and methods for analyzing switching circuits, including the Method of Assumed States and Periodic Steady State.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
View the complete course: https://ocw.mit.edu/courses/18....-200-principles-of-d
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

We first describe the mechanics of the course. We then discuss the pigeonhole principle, explaining what it is and giving several surprising applications of it. The we briefly discuss foundations of probability and sample spaces.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

Sebastian's books: https://sebastianraschka.com/books/
The lecture slides are available at: https://github.com/rasbt/stat4....53-deep-learning-ss2

Covers some of the basics of recurrent neural networks. In particular, this lecture covers

RNNs and Sequence Modeling Tasks: 00:00
Backpropagation Through Time: 20:23
Long-short term memory (LSTM): 31:42
Many-to-one Word RNNs: 45:16
Generating Text with Character RNNs: 50:45
Attention Mechanisms and Transformers: 1:00:09

A brief introduction into the concepts behind deep learning.

Github repo:
https://github.com/mlberkeley/intro-dl-workshop

This video is a VERY basic introduction to deep learning. I do not delve too deeply into the specifics, rather this video is meant as a cursory overview of the concept of deep learning and how it works. In later videos, we will explore the terms introduced in this video much more.

If you enjoy this video, please subscribe. I provide all my content at no cost. If you want to support my channel, please donate via
PayPal: https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=AZ73QW52SUX8N¤cy_code=USD&source=url
Patreon: https://www.patreon.com/WJBMattingly (its my www.themedievalworld.com account as well).

If there's a specific video you would like to see or a tutorial series, let me know in the comments and I will try and make it.

If you liked this video, check out www.PythonHumanities.com, where I have Coding Exercises, Lessons, on-site Python shells where you can experiment with code, and a text version of the material discussed here.

You can follow me at:
https://twitter.com/wjb_mattingly

This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques
Github Links
Langchain : https://github.com/krishnaik06..../Langchain-V1-Crash-
Langgraph: https://github.com/krishnaik06..../Agentic-LanggraphCr
RAG: https://github.com/krishnaik06/RAG-Tutorials
Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb
Deep Agents: https://drive.google.com/file/....d/1SVjvgqvKfF-FPAIqp
Guardrails : https://github.com/krishnaik06..../Langchain-V1-Crash-/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb
LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb
LLM Gateways: https://github.com/krishnaik06..../Langchain-V1-Crash-/blob/main/llm_gateway_tutorial.ipynb

Timestamp
00:00:00 Introduction
00:02:31 Langchain Course
02:35:12 Langraph Course
05:02:29 RAG Course
07:10:43 Vectorless RAG
08:02:11 Deep Agents
08:45:43 Guardrails
09:22:55 LLM Evaluation
10:30:25 LLM Gateways
-------------------------------------------------------------------
Learn from us visit https://krishnaik.in/liveclasses

Get started with @GensparkProduct and get unlimited access to AI usage: https://bit.ly/4tBYC7v

New registered users can get free credits. What’s wild, Genspark is offering unlimited use of AI chat and AI image for all paid users in 2026. Unlimited subject to abuse guardrails.

Most people are still using AI like it's 2023 — open ChatGPT, ask a question, copy the answer. But there are actually four levels of AI usage, and the majority of people are stuck on level one without even knowing the other three exist. In this video, I'll walk through real demos of each level so you can see exactly how to apply them, including a live example of an AI agent that researches, builds, and deploys a full landing page — completely on its own.

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

🚀 Tools I Use
Get 10% off with code techwithtim
Openclaw setup: https://www.hostinger.com/techwithtim
VPS setup: https://www.hostinger.com/techwithtim10
Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/techwithtim

⏳ Timestamps ⏳
00:00 | Overview
01:16 | AI Framework
04:20 | Level 1 - Chat
06:00 | Level 2 - Tools
09:15 | Level 3 - Workflows
14:15 | Level 4 - Claw/Agents
18:32 | When to Use Each
19:56 | Genspark Usage

Hashtags
#Genspark #AIAgents #WorkwithGenspark

UAE Media License Number: 3635141

📚 Grab all of the automation blueprints and prompts for FREE on Skool: https://bit.ly/AI-Automations-Course-Skool
📈 Become a Wildly Profitable AI Entrepreneur: https://bit.ly/AI-Automations-Course-Accelerator
🤝 Ready to transform your business with AI? Let's talk: https://bit.ly/AI-Automations-Course-Morningside
📋 Get our FREE 14-day playbook for finding high-impact AI opportunities in any business: https://bit.ly/14-day-playbook-

Two years ago, I taught myself how to build no-code AI automations with zero technical background. Today, I’ve built multiple AI businesses, generated over $5M in revenue and helped companies, from startups to NBA teams, integrate powerful AI systems. In only 100 minutes, I break down what AI Automations are, how they work and the most popular tools to develop them. You'll find some of the most sold use cases like AI lead qualifiers, voice agents, and proposal generators. This is the exact course I wish existed when I started.

Timestamps:
0:00 - Introduction
2:26 - Why Learn AI Automation?
4:49 - What is AI Automation?
9:21 - The AI Automation Landscape
12:10 - Anatomy of an Automation
15:48 - Exploring the Ecosystem
19:01 - Foundations Recap
23:45 - What We're Building
29:00 - Build #1
51:34 - Build #2
1:22:09 - Build #3
1:30:36 - Troubleshooting & Tips
1:36:55 - How to Sell AI Automations

As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system design, retrieval, reliability, and security. Learn how to build AI agents that actually work in production 🚀.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/Bdpm3C

#aiagents #aiengineering #aiskills

Khu rừng bí ẩn tuyệt đẹp | Beautiful mysterious forest #thuysinh #aquariums

THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

Chúng tôi nhận thiết kế cảnh quan cho các công trình lớn, các công ty, toà nhà và sân vườn.

Phone: (+84) 0777-525-328
Facebook: https://facebook.com/thuysinhnhatrang
Website: https://thuysinhnhatrang.com
YouTube: youtube.com/@ThuySinhNhaTrang
Address: 566/23 đường 2 Tháng 4, Vĩnh Phước, Nha Trang, Khánh Hòa, Việt Nam (hẻm đối diện Đặng Tất)

#bethuysinhdep, #thuysinh, #howtobuildaquarium, #hothuysinh , #studymusic, #relaxmusic, #calmingmusic , #bethuysinhmini