A2UI + MCP Apps: Combining the best of declarative and custom agentic UIs

You bought an AI tool. Nobody on your team uses it. Sound familiar? That's not a you problem. That's a design problem. Google just quietly released something that actually matters for business owne

You bought an AI tool. Nobody on your team uses it. Sound familiar?

That's not a you problem. That's a design problem.


Google just quietly released something that actually matters for business owners — a new way for AI tools to connect with the software you already use, without rebuilding anything.

Here's what that means in plain English: AI assistants can now "talk to" your existing tools — your CRM, your scheduling system, your customer data — instead of forcing you to abandon them. No ripping out what works. No six-month migration project.

This is the shift worth paying attention to. Not the hype. The connective tissue underneath it.


The real reason most AI tools collect dust isn't the AI itself. It's that they sit in isolation, separate from where your team actually works. When AI plugs into existing workflows, adoption follows. That's your first win.


One thing you can do this week: before evaluating any AI tool, ask the vendor one question — "Does this connect to the tools my team already uses daily?" If they can't answer clearly, keep walking.

That single filter will save you more than a bad purchase.


What's the biggest reason an AI tool failed to stick in your business — was it the tool itself, or how it was introduced to your team?

#AIStrategy #SmallBusiness #BusinessGrowth #AIImplementation

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... integration. Until now, developers often had to choose between two ... This interactive demo features an AI Agent integrated with an MCP ...