Aidbase

CEO & Founder

LinkDrip

FeedHive

the LEGO Group

Senior Software Engineer

TV 2 DANMARK A/S

Tia Technology

Software Engineer

IT Minds

Software Developer

Advice A/S

Created a native mobile app for Copenhagen Zoo.
The project was managed by Advice A/S.
Freelance contract through IT Minds.

Software Developer ‧ Startup CEO 🚀
Building a portfolio of bootstrapped SaaS products.

It's not n8n vs. Agent Builder.
It's both.

This is exactly how I'm building now.

For:
- Internal tools.
- Agentic systems.
- Knowledge agents.

Most ops tools aren't fully automatic.
They need an entry-point, often a chat.

✨ Agent Builder + ChatKit is PERFECT for this.

Here's how it works:

🗨️ Agent Builder
We use this to build the chat agent.

This is our AI manager.
It handles the requests and delegates the task.

⚙️ n8n
We use n8n to expose an MCP server.

Agent Builder will delegate to n8n.
Our n8n workflows will be responsible for solving the actual task.

🧡 Lovable
We use Lovable to build the chat interface using OpenAI's ChatKit.

In this way, we get a custom chat UI, specialized to the specific tool.

Building out internal tooling and ops infrastructure for your company has never been easier.

Simon Høiberg

Building a portfolio of bootstrapped SaaS products

AI ops tools combine.
They don't compete.

Whenever a new tool launches, people go "RIP existing tools" (especially if it's from OpenAI).

But they're missing the point.

The field of ops and AI automation is WAY too big to be covered by one single tool.

That's why Agent Builder isn't killing n8n.
That's why there's room for tools like Lindy.
That's why Zapier and Make still thrive.

These tools don't compete.
Instead, you have the option to combine.

Do this - and you can build the most powerful AI ops infrastructure imaginable.

✨ Agent Builder + n8n
Build a chat interface with Agent Builder.
Have it delegate to specialized agents in n8n.
Request in natural language → Complex solution.

✨ Aidbase + GitHub Copilot
Build a user-facing AI chat in Aidbase.
Pass bug reports to GitHub Copilot agents.
Get PRs with bugfixes proactively.

✨ Let AI mix and match.
Build an AI manager in Agent Builder.
Give it access to an n8n MCP server.
Let it mix and match between a broad list of tools and specialized workflows.

At this point, you don't need more people.
You need a better understanding of what AI ops infrastructure can do.

---

Do you want to get started?
We offer 5 powerful AI-native tools on a lifetime deal.
Click "View my portfolio" underneath my profile to see more.

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Most people still think GPT, Claude, Gemini (and maybe a few others) are the only AI models that exist.

The real number?
It's closer to 2 million!

That's right.

You have almost 2M AI models at your disposal.

- Most of them are very niche.
- They solve very specific issues.

And they're free.

You only pay for the compute it takes to run them.

This is an INSANE unlock!

- For your internal ops.
- For potential new businesses.

And most people don't realize this.

All you need:
🔹 Replicate
🔹 HuggingFace
🔸 An ops tool like n8n or Lindy

Let me show you how 👇

AI is still being oversold.
And it's such a shame.

They tell you it will:
- Think for you
- Run everything for you
- Make money for you

It's obviously not true.
And people had it enough of this...

And as a result, you might go 180 and think: "AI seems like useless hype"

I'm telling you: It's not.
You can do INCREDIBLE things with AI.

But you need the following:

→ A human orchestrator.
→ The right lineup of tools.

Here is the breakdown 👇

🔸 Postman
API discovery and agent-builder.

🔸 Aidbase
UI-based RAG and AI support.

🔸 n8n
Automation and Agentic workflows.

🔹 GitHub Copilot
Agentic AI coding

🔹 Cursor
Full AI-Assisted IDE.

🔹 Lovable
Text-to-prototype in minutes.

✨ Social content and blogs:
A combination of n8n, fine-tuned models, and FeedHive's AI post-prediction workflow.

You can create this setup for yourself too!
Right now, you can get LIFETIME access to FeedHive, Aidbase, and +3 other tools for a single one-time purchase.

Click "View my portfolio" underneath my profile (👆) to see how.

Creating an outstanding knowledge base and documentation page is worth obsessing over just as much as you would on your landing page and onboarding flow.

Here's an example for Aidbase docs 👇

→ It should be easy to navigate
→ It should be easy to (fuzzy) search
→ Bonus points if you have an AI chatbot that will help you search and navigate the page.

Additionally, on the maintainer's side, it should be easy to keep updated.

We're writing these in markdown.

It's perfect as it allows AI to help manage it and keep it up to date through simple GitHub PRs.

The doc page itself is using Nextra (a NextJS template).

This works perfectly 👌

Product development has completely changed for us.

Three steps.
One seamless flow.

Step 1: Lovable.
Sketch. Prototype. MVP.
Ideas take shape fast - design to build, all in one place.

Step 2: GitHub + Copilot.
Delegate repeat work. Track issues, review PRs.
No manual coding - just smart support in the background.

Step 3: VSCode + Cline + Claude Code.
When it’s complex, hands-on creativity takes over.
AI meets expertise.

From idea to launch - this is how we build now.

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