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Google just dropped a free no-code AI app builder — and most service providers haven’t found it yet.

Google Opal lets you build fully functional, shareable AI tools for clients using plain language descriptions. No coding. No subscriptions. No developer required. In this video, I break down exactly how it works and how to use it inside a real service business using the Deployed Asset Model.
What you’ll learn:

What Google Opal is and how to access it through Gemini
How the node-based workflow builder actually functions
Why persistent memory and dynamic routing make these tools feel like real software
Real-world use cases across law, fitness, property management, and marketing
How to structure Opal apps as billable client deliverables

⏱ TIMESTAMPS
00:00 – What Google Opal actually is
00:48 – The problem it solves for solo service providers
01:42 – How Opal works: no-code, no developer, no cost
02:28 – The Gemini integration and how to access the builder
03:10 – The Deployed Asset Model explained
03:55 – Inside the builder: nodes, inputs, outputs, and workflows
04:45 – Persistent memory and dynamic routing
05:38 – Image gen, video, and live web data inside one workflow
06:15 – The shareable link and how clean delivery works
06:48 – Real-world client use cases you can build today
07:42 – Freelancer example: the Deployed Asset Model in action
08:10 – Template gallery and how to use it to get started fast

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