@rain8miao I'm currently at web development since I'm a SEO specialist, but I find myself learning about LLMS, EMBEDDING models and automations, I think it is a huge step in my career and personal development.
Bro I'm literally this close to be 600,
If you’re in:
🚀 startups
📷 web development
📷 AI
📷 Vibe coding apps
I am looking to connect with more and more builders!
Share what you’re working on and let’s #connect🤝
I added a new Node to my make Scenario, this Node make a HTTP request to ubersuggest using my API key and it searches for keywords related to my blog topics.
This enrich my content and helps the pages to rank better.
Since I'm a SEO specialist I know the process so most of the steps are covered.
I made $22 in June 2026.
⭐️ mobile app — $22
given the absurd amount of time I've dedicated to the project, I can tell you it's a massive fail
I can still see a few big features I could, and hopefully will, make in order to continue progressing on it
I believe a lot in the project, but I am also human, and feel burnt out of my constant attempts of trying to make things work
nevertheless it is great to know people are willing to pay for your product, and I'll carry on trying to make my moves towards feeling fullfilment
we never know when life decides to give us a chance, I just haven't received mine
but you might receive yours tomorrow
🌿 177
👥 1507
@Jtyles Hard truth that my father in law taught me, happens that if you get fired you lost your principal source of income.
You lost your stability and everything.
But if you build something, something yours, you can be okay, because you have your own source of income.
Corporate America is excellent at one thing:
Making the cage feel comfortable.
The pay is “good enough.”
The benefits feel safe.
The routine is familiar.
So you stay.
Until one day you realize comfort was the most expensive thing they ever sold you.
Quick YouTube operator check:
What is currently your biggest bottleneck?
A. Finding profitable niches
B. Getting enough views
C. Improving thumbnails
D. Building a reliable team
E. Avoiding demonetization
F. Scaling beyond one channel
G. Expanding to Spotify, MSN and more
Reply with the letter.
I’ll share what I would focus on next.
After 18 months of writing, coding, and experimenting, Build a Reasoning Model (From Scratch) is
finally out!
My first copies just arrived! 📚
440 full-color pages. Inference scaling, reinforcement learning, and distillation from scratch.
@UiSavior B. Most of your customer would be happier if the see less buttons in a simple step such a login.
Bringing this version you deliver a clear outcome, it's also easier to look at it without going crazy.
The last 6 months of building:
❌ Didn't get enough sleep
❌ Didn't stop doubting myself
❌ Didn't know if any of this would work
✅ Built a product I'm genuinely proud of
✅ Connected with 5,000 amazing people on X
✅ Never stopped showing up
Stay in the game longer than your doubts.
@iam_kennygPRMR@tryquantio Happened that I used an AI model without an API key, then I realized that 1M tokens were spend (sonnet 4.6 uses credit for every 60 token)
Spent the night building my first real automation no code, just stubbornness and make.com.
Google Form → Google Sheets → Airtable, fully automated:
✅ New ambassadors get auto-onboarded
✅ Returning ambassadors get updated, not duplicated
✅ Task IDs get validated before anything logs
✅ Points get calculated automatically based on the task
Hit more dead-end errors than I can count.
Didn't stop until it ran clean.
This is what learning in public looks like. 🚀
#NoCode#Automation#BuildInPublic#Airtable#MakeDotCom
Programming Languages and Reasons Behind their Creation
• C → To build operating systems.
• C++ → To add OOP to C without losing performance.
• Java → To run on any device (Write Once, Run Anywhere).
• Python → To make coding simple & readable.
• JavaScript → To add interactivity to websites.
• C# → To build Windows & enterprise applications.
• Go → To simplify scalable backend systems.
• Rust → To ensure memory-safe systems programming.
• Swift → To build modern iOS apps.
• Kotlin → To improve Android development.
• PHP → To power dynamic websites.
• Ruby → To optimize for developer happiness.
• TypeScript → To add types to JavaScript to catch errors early.
• SQL → To manage relational databases.
• R → To perform statistical analysis.
• MATLAB → To solve engineering computations.
• Dart → To build cross-platform apps (via Flutter).
• Solidity → To create smart contracts.
• Assembly → To directly control hardware.
• Objective-C → To develop classic Apple applications.
@vallcodes@TechSphereAcad This is actually really helpful, thank you! The cost angle on Make vs Zapier is something class didn't fully cover. And yeah, n8n seems to be where serious builders end up 😅 noted!
Day 7/30 One week down
Zapier — simple, no-code
Make — visual, more logic
n8n — low-code, most flexible
No "best" platform. Just the right one for your skill + budget.
Also dove into JSON & data relationships — automation's backbone.
#30DaysOfTech#LearningWithTS@TechSphereAcad
@AndrewBolis Where is the sense of learning if everything rely in a prompt? Get all the canvas done but a simple error happens and everything becomes a mess.
People think building AI agents in n8n is hard.
Reality: one prompt builds an entire agent for you.
No need to learn complex workflows or spend hours on setup.
Just give ChatGPT the following prompt. It handles the entire agent creation process in minutes.
Here's exactly how to use it step by step:
[bookmark 🔖 this post for later]
The process:
1. Open ChatGPT
2. Paste in one mega prompt
3. Describe the agent’s purpose
4. GPT delivers:
↳ Workflow structure
↳ n8n nodes
↳ Trigger setup
↳ LLM integration
↳ Error handling
↳ Ready-to-use code
5. Implement the steps in n8n.
And you’re done.
Here's the mega prompt (copy it):
- - - prompt starts below this line - - -
You are an experienced automation architect with advanced knowledge of building AI-powered agents in n8n. You have deep expertise in automation flows, activation triggers, third-party APIs, GPT connections, custom JavaScript logic, and error handling.
Walk me through, step by step, how to create an AI-powered agent in n8n. The agent’s purpose is: {$AGENT_PURPOSE}
1. Begin by defining the agent's objectives and necessary inputs/outputs.
2. Create the overall architecture for the agent workflow.
3. Suggest the required n8n nodes to include (built-in, HTTP, function, OpenAI, etc.).
4. Explain how to configure each node and why it’s needed.
5. Provide instructions for any custom logic (JavaScript functions, expressions, etc).
6. Help me implement retry logic, error handling, and backup procedures.
7. Show how to store and access data between runs (e.g., with Memory, Databases, or Google Sheets).
8. When the agent requires external APIs or services, explain the connection and authentication process.
Be exceptionally clear and practical, as if coaching a beginner automation developer. Use visual formats if possible (e.g., structured lists, flow-style layout), and always provide ready-to-implement node configurations or code examples.
Conclude by recommending ways to increase the agent's capabilities, such as workflow chaining, webhook integration, or connections to vector databases, CRMs, or Slack.
- - - prompt ends above this line - - -
I used this to create:
✓ A Reddit, Claude, Telegram content curator
✓ A prospect qualifier that evaluates and directs incoming leads
✓ An automated email assistant that analyzes messages + creates replies
All driven by Claude + n8n.
- No Zapier.
- No LangChain.
- No complex frameworks.
Why this approach works:
→ GPT acts like a senior engineer, designing the agent end-to-end
→ n8n gives you complete flexibility (logic, memory, APIs, webhooks)
→ Claude or ChatGPT handles reasoning and decision-making
It’s the simplest way to launch real AI agents today.
📌 Get Advanced ChatGPT Guide (free): bit.ly/3StIB3z
👉 Follow me @AndrewBolis for more and 🔄 Repost this to help others learn AI