n8n just dropped an AI image generation tool
You give it a text prompt
It filters for content, sends it to Fal ai, polls for completion and delivers a final image.
All inside one workflow.
Here’s the workflow behind it and the images it produced:
#buildinpublic
not able to dm you
totally!
missed this view of my hometown
there’s a stillness here that reminds me why I started
not for the noise. not for the grind
but for peace. for freedom
for a life that scales without burning out
this season is about clarity
AI is just the tool
the goal is space to breathe
#buildinpublic
Step by step instructions in the system prompt and clear description of when to use what
Took me weeks to build this AUTOMATION BEAST properly
The trickiest part was getting all 5 agents to communicate seamlessly. But now it crushes tasks via simple VOICE COMMANDS.
#buildinpublic
3 years ago...
My first office
My first real startup
Fresh out of college with more hope than certainty
No clients. No playbook. Just belief
I didn’t know what would work
I just knew I wouldn’t quit
I made a full-time content team with n8n
Scripts. Visuals. Voiceover. Editing. Uploads.
All automated from a simple Google Sheet
No editors, VAs or stress
If you want the exact AI workflow:
Like + RT + Comment “n8n” and I’ll DM it to you
Must be following
#buildinpublic
Here's the workflow:
I built a complete Twitter/X scraping system on n8n that:
- Scrapes unlimited tweets from any keyword
- Extracts all engagement data (likes, retweets, views)
- Auto-saves to Google Sheets with clickable URLs
- Handles pagination for bulk data collection
#buildinpublic
Haven't made it public yet
Most founders don’t need another customer support tool.
They need a brutally honest cofounder who’ll say:
“You don’t have a customer problem.
You have a systems problem. A team problem. A you problem.”
I built a bot that does exactly that - tells the brutal truth!
#buildinpublic
The Pinecone Integration:
This is where n8n really shines. The Vector Store node:
Connects directly to Pinecone
Handles embedding searches automatically
Returns relevant company info
One node = entire knowledge base access.
Memory Management in n8n:
Traditional chatbots lose context. With n8n's memory nodes:
Simple Memory: Stores recent conversation
Vector Store Memory: Accesses company documents
All managed through n8n's interface.
The AI Agent Node handles:
OpenAI model selection
Prompt engineering within the interface
Tool calling (for knowledge base searches)
Response formatting
The Webhook node is where it all starts. Configure it once and you get:
Instant endpoint for your chatbot
No server setup. No API management headaches.
The n8n Architecture Breakdown:
Webhook Node: Captures incoming customer messages
AI Agent Node: The brain powered by OpenAI
Memory Node: Store conversation context
Vector Store Integration: Access company knowledge base
I built this entire customer support chatbot using just n8n.
Here's exactly how I did it ↓
Everyone's asking 'Will AI take my job?'
Wrong question.
Ask: 'What job will AI help me take?'
The biggest transfers of wealth don't happen during stability.
They happen during transitions.
And we're in the biggest one yet.
I built an AI partner that works while you sleep:
→ Answers calls 24/7
→ Checks your calendar availability
→ Books appointments automatically
Top execs & founders quietly use it to:
Delete 10h/week of call-juggling
Never miss a high-ticket client again
Look effortlessly responsive
#buildinpublic
I built a silent AI partner works while you sleep:
→ Answers calls 24/7
→ Checks your calendar availability
→ Books appointments automatically
Top execs & founders quietly use it to:
Delete 10h/week of call-juggling
Never miss a high-ticket client again
Look effortlessly responsive
It's similar to Vercel v0 of you've tried that. It does coding based on your prompts
Yup, anytime!
Anytime :)
try Vercel V0. It generates code based on your prompts. Vercel V0 is an ai tool of vercel
Vercel V0
list of 7 ai tools all developers should use:
claude
chatgpt
lovable
vercel
bolt
cursor
windsurf
what am I missing?
#buildinpublic
The task is not to see what has never been seen before, but to think what has never been thought before about what you see every day
