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Alex Prompter Profile picture
@alex_prompter
Sep 1 • 14 tweets • 4 min read • Read on X
If you want to learn n8n, read this.

It’s the fastest way to understand what it is, why it matters, and how to use it to build your first AI-powered automation ↓
What is n8n?

n8n is an open-source automation tool that connects your apps, builds agentic workflows, and lets you host everything yourself.

Think Zapier, but with more power and zero vendor lock-in.

Ideal for devs, indie hackers, & AI builders.

n8n.ioImage
What's so special about it.. you ask:

- AI-native workflows
- Fully customizable
- No-code UI, low-code freedom
- 1,000+ integrations
- You can self-host (keep your data!)
- Agents that think, not just trigger → act

It’s built for the AI era.
Let’s get you started in 2 minutes:

1. Visit
2. Create an account
3. Click “Create New Workflow”
4. Tap the “+” icon to add a node (e.g. Gmail, OpenAI, Google Sheets)
5. Configure it, test it, connect more

Automation = visual blocks. No code needed. n8n.io
This was a game-changer for me:

✅ No code
✅ Fully customizable
✅ Reusable across any niche
✅ AI-powered + searchable
✅ Easy to share + scale

If you’ve ever wanted to build an AI agent without engineering headaches this is it.
Use Cases That Print Time:

- Generate market research reports in minutes
- Run email campaigns w/ smart segmentation
- Auto-generate personal newsletters
- Summarize Twitter trends for clients

n8n doesn’t just automate tasks, it automates thinking.
Integrations:

• Google Sheets
• Gmail
• Notion
• OpenAI, Gemini, Claude
• Tavily Search
• Webhooks
• HTTP/REST APIs
• Custom code blocks if needed

You can connect everything. Image
AI Templates in n8n:

- Research agents
- Email writing bots
- Summarizers
- Data pipelines
- LLM + Web search stacks
- Personal knowledge management

You don’t start from scratch, just remix what’s already working. Image
Agentic Workflows?

Yes. n8n enables autonomous behavior.

You can loop tasks, build conditionals, insert reasoning logic, and even have an AI decide what to do next.

It’s not just triggers → actions.

It’s intelligent decision-making automation.
Testing is simple:

Each node has a “Test Step” button

→ Run it before chaining
→ Debug fast
→ See what went wrong immediately

Zero black-box mystery. It’s one of the most transparent tools I've used.
Zapier vs Make vs n8n

Zapier = most integrations, easy to use, least flexible
Make = strong visual builder, some limits
n8n = best for AI + full control + dev freedom

Also: you can host it yourself (nobody else offers that).
n8n is how you go from idea → automation → AI product… in hours.

It’s open-source. Visual. Powerful. And ready for the next wave of AI agents.

You don’t need to code to build like a coder.

Try it now: n8n.io
10x your prompting skills with my prompt engineering guide

→ Mini-course
→ Free resources
→ Tips & tricks

Grab it while it's free ↓
godofprompt.ai/prompt-enginee…
I hope you've found this thread helpful.

Follow me @alex_prompter for more.

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More from @alex_prompter

Alex Prompter Profile picture
Aug 31
This one concept explains why LLMs “forget” mid-conversation.

It’s called 'context length' and it defines how much an AI can “remember” at once.

Here’s the concept explained in plain English: Image
Every Large Language Model (LLM) has a token limit.

A token = a chunk of text (≈ 3–4 characters of English).

Think of it as the AI’s working memory.

If you exceed it, the model starts dropping information.

Example:

- GPT-4o has ~128k tokens (~300 pages of text).
- Claude 3.5 Sonnet has 200k tokens (~500 pages).
- Gemini 1.5 Pro: 1M+ tokens (~3,000 pages).

But no model has “infinite memory.”Image
Why it matters:

Context length defines how much history you can pass in:

- A long chat log
- A book or research paper
- Multiple files or codebases

If your prompt + conversation > token limit → earlier parts get truncated.
Read 10 tweets
Alex Prompter Profile picture
Aug 30
GPT-5 is insanely powerful.

Stop listening to people who say GPT-5 gives you the same boring outputs as every other AI.

I've been using it for 3 weeks and it has automated 90% of my work.

Here are 5 ways I use it daily to automate my boring tasks:
1. Research + summarization

I don’t waste hours skimming reports anymore. gpt-5 turns 50 pages into a 2-minute actionable summary.

Helps me move fast without missing key details.

Prompt I use:

"you are my research assistant. read the following document or url and give me:
1. a 10-sentence executive summary
2. 5 key insights i should act on
3. the top 3 risks or blindspots most people might miss
4. rewrite the insights in simple, no-jargon language i can share with my team "

here you've to add the document link or the document itself (i prefer the file)
2. Content Ideation

Instead of staring at a blank page, I use GPT-5 to generate structured ideas for posts, newsletters, and scripts. What used to take me 2 hours is now a 15-minute draft.

Prompt I use:

"You are a professional ghostwriter. Generate 15 high-signal content ideas on [topic].

For each idea:
- Give me a hook line (<= 15 words, curiosity-driven)
- Outline the structure in 3 parts (hook, point, action)
- Include an example or analogy that will resonate with [audience type]

Make them practical, non-generic, and designed to spark discussion."
Read 8 tweets
Alex Prompter Profile picture
Aug 29
AI is getting scarily good at app development.

I asked 3 models to code a timer app from scratch:

🇺🇸 ChatGPT
🇨🇳 Qwen
🇨🇳 Kimi

Here's the result (prompt + demos 👇) Image
Prompt I used:

"Create a simple timer app using only HTML, CSS, and JavaScript. It should have Start, Pause, and Reset buttons and display the elapsed time in mm:ss format."
1. ChatGPT

✅ Fully functional
✅ Clean, modern design
✅ Smooth UX

It nailed both functionality and presentation.

chatgpt.com/canvas/shared/…
Read 9 tweets
Alex Prompter Profile picture
Aug 28
America is quietly entering its 4th major reinvention.

The last 3 times this happened, it triggered 25 years of explosive growth.

We’re at that point again... right now.

Here’s what most people don’t see yet 🧵: Image
1/ Every 80 years, America hits a breaking point.

And from that breakdown, it reinvents everything - tech, economy, politics.

It happened in:
• 1787 (Post-Enlightenment)
• 1865 (Post-Civil War)
• 1945 (Post-WWII)

Each one sparked a 25-year boom. Image
2/ We’re now in the 2025 version.

And 3 tipping points are hitting at once:
• Artificial Intelligence
• Clean Energy
• Bioengineering

They’re not “emerging.”
They’ve arrived - and they’re scaling. Image
Read 12 tweets
Alex Prompter Profile picture
Aug 23
This is wild.

Google just dropped 5 new AI agents that automate data pipelines, migrations, notebooks, dashboards, and even GitHub reviews.

If you’re a developer, this isn’t just another product release it’s the start of autonomous dev tooling.

Here’s the breakdown 👇
1. BigQuery Data Agent

Data engineers spend too much time on plumbing writing ETL scripts, fixing schema issues, checking data quality.

This agent cuts all of that down to prompts.

Describe what you want → it builds the pipelines, maintains data quality, and generates SQL automatically.

No boilerplate. Just insights.Image
2. Notebook Agent (NotebookLM for Enterprise).

Imagine a Jupyter notebook that:

- Runs your exploratory analysis,
- Engineers features,
- Builds models,

Summarizes the results into reports (or even audio).

That’s what this does.

It’s basically an AI-powered research assistant that lives inside your notebooks.Image
Read 10 tweets
Alex Prompter Profile picture
Aug 22
The best marketers don’t “write” copy.

They reverse engineer what’s already working.

And with LLMs, you can do it in minutes.

This is one of the most slept-on uses of AI.

Here’s exactly how I do it → Image
Step 1: Find high-converting copy.

Landing pages you admire

Ads you keep seeing (they’re running for a reason)

Emails you actually read

If it’s everywhere, it’s converting. That’s your goldmine.
(i found this for my project)
Step 2: Feed that copy into an LLM.

But don’t just ask it to “summarize.”

That’s too shallow.

You want it to break the copy down by psychology, persuasion, and structure.

(i copied and took screenshots of the website landing page... and feed the copy to ChatGPT)
Read 9 tweets

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