Uploaded November 2025 | Updated September 2026, 5 days ago
Check out HubSpot’s AI Agents Unleashed: Playbook for 2025 Success - clickhubspot.com/23bc50
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: 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
learn.deeplearning.ai/courses/agentic-ai/lesson/uz37vtiou/ungraded-lab:-chart-generation
learn.deeplearning.ai/courses/agentic-ai/lesson/nae3i1ymg/ungraded-lab:-adding-a-component-level-eval-to-the-research-workflow
learn.deeplearning.ai/courses/agentic-ai/lesson/9inumthkb/ungraded-lab:-customer-service-agent
learn.deeplearning.ai/courses/agentic-ai/lesson/cnd59gh0b/ungraded-lab:-market-research-team
🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
365datascience.com/learn-sql-for-data-science-interviews
365 Data Science:
365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
stratascratch.com/?via=tina
🎥 My filming setup
========================
📷 camera: amzn.to/3LHbi7N
🎤 mic: amzn.to/3LqoFJb
🔭 tripod: amzn.to/3DkjGHe
💡 lights: amzn.to/3LmOhqk
📲Socials
========================
instagram: instagram.com/hellotinah
linkedin: linkedin.com/in/tinaw-h
tiktok: tiktok.com/@hellotinahuang
discord: discord.gg/5mMAtprshX
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
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: linkedin.com/in/tinaw-h
email for business inquiries only: tina@smoothmedia.co
========================
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! :)
Check out HubSpot’s AI Agents Unleashed: Playbook for 2025 Success - clickhubspot.com/23bc50
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: 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
learn.deeplearning.ai/courses/agentic-ai/lesson/uz37vtiou/ungraded-lab:-chart-generation
learn.deeplearning.ai/courses/agentic-ai/lesson/nae3i1ymg/ungraded-lab:-adding-a-component-level-eval-to-the-research-workflow
learn.deeplearning.ai/courses/agentic-ai/lesson/9inumthkb/ungraded-lab:-customer-service-agent
learn.deeplearning.ai/courses/agentic-ai/lesson/cnd59gh0b/ungraded-lab:-market-research-team
🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
365datascience.com/learn-sql-for-data-science-interviews
365 Data Science:
365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)
Check out StrataScratch for data science interview prep:
stratascratch.com/?via=tina
🎥 My filming setup
========================
📷 camera: amzn.to/3LHbi7N
🎤 mic: amzn.to/3LqoFJb
🔭 tripod: amzn.to/3DkjGHe
💡 lights: amzn.to/3LmOhqk
📲Socials
========================
instagram: instagram.com/hellotinah
linkedin: linkedin.com/in/tinaw-h
tiktok: tiktok.com/@hellotinahuang
discord: discord.gg/5mMAtprshX
🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
youtube.com/watch?v=INymz5VwLmk
How I would learn to code (if I could start over):
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: linkedin.com/in/tinaw-h
email for business inquiries only: tina@smoothmedia.co
========================
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! :)
