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.
Simon Høiberg
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.
3 weeks ago | [YT] | 177