Lukas Lang

I'd like to share an opinion on the current situation in AI ops, not the coding/tech side.

Right now the market has a pretty clear pattern. Big labs like OpenAI, Anthropic and xAI are building their own desktop AI and computer-use apps. The trick is they still treat this segment as Growth. Maturity is far away. So the biggest players burn money acquiring customers and giving them huge subsidies on tokens vs real cost.

Today the world is getting a huge AI bill, mostly paid by investors. We're running on debt. If there is no real breakthrough, math doesn't lie, there will have to be a cost-effective compromise. Using heavy models for coding is justified. Using them for the simplest things in operations is not, economically.

Mine was Semrush's Authority Score. It went from 2 to 5 in a few weeks on a side project and I read it as progress.

Then I pulled the backlink list instead of trusting the summary number. 116 referring domains, up from before. The count of real follow links, the ones search engines actually treat as a vote, was exactly 4. Same as three weeks earlier. Not one more.

A few weeks ago, we launched MCP integration, which means Claude can now create and organize content in your Cluing workspace directly, without you switching between tabs or copy-pasting anything manually.

When you are in the middle of a conversation with Claude and something useful comes up, instead of manually going to Cluing to save it, you just ask Claude to do it for you. It creates the snippet, puts it in the right Topic, and your workspace updates on its own.
You can ask it to:

• turn a conversation into a summary snippet

• bookmark something for later

• capture a stray idea worth revisiting

• create a new Topic and organize related content into it

And the part I find most interesting is that it goes both ways. Claude can pull from your saved knowledge in Cluing, and it can write back to it. That's a pretty different relationship than most AI integrations, which are read-only.