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hasantoxr argues Miro’s Canvas 26 fixes the real AI adoption problem—scattered…

Brief

hasantoxr argues Miro’s Canvas 26 fixes the real AI adoption problem—scattered, siloed AI sessions—by providing a shared context layer that aggregates outputs from Claude, Cursor, ChatGPT onto one board. He describes dropping a half-built Claude product spec onto the board, enabling two teammates to run AI passes within minutes and eliminate copy-paste/version confusion.

Source evidence

Most teams have the AI tools. Claude, Cursor, ChatGPT, all of it.

The problem was never the tools. It's that every person runs them in their own tab, and none of that work connects.

Watched Miro fix exactly this at Canvas 26. Here's what changed for me: ↓

The thing that clicked: Miro isn't trying to replace Claude or Cursor.

It sits as the shared context layer, so the work one person does in their AI tool becomes something the whole team can see and build on.

That sounds small. In practice it's the difference between scattered experiments and an actual workflow.

I had a product spec half-built in Claude. Normally that lives in my tab and dies there.

Dropped it onto the board, and within a few minutes two teammates were running their own AI passes on the same context. No copy-paste relay, no "wait which version is this."

The capability that mattered most: the board pulling AI output from different AI tools into one shared canvas the whole team could work from.

The point wasn't another AI feature. It was that everyone's context finally lived in the same place instead of scattered across accounts.

What I keep coming back to:

Individual AI wins are easy now. Turning them into something a whole team can build on is the hard part. That's the gap that closed for me here.

If your team is drowning in AI tabs that don't talk to each other, the Canvas 26 livestream is worth your time.

miro.pxf.io/7Xn5Mr

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