AI assistants and search decision

Google AI Pro

A competent developer can build a useful assistant plus storage and simple Drive/Gmail integrations, but cannot replicate Google’s proprietary Gemini models, first‑party Google app integrations, or bundled ecosystem perks — so building replaces only part of the paid product.

Visit website
You pay

$19.99/mo

$240/yr

Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$100/mo10 h/mo upkeep

On cash alone, building overtakes the subscription at 6 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Google AI Pro alternatives, with the arithmetic →

What a replacement has to do

  • Provide a chat/assistant UI that accepts user prompts, sends them to a hosted LLM API, and returns results combined with user files stored in cloud storage.

What it still won’t have

  • Access to Google’s proprietary Gemini Pro/Flash models
  • Deep, built-in integrations across Google apps with first-party privileges
  • YouTube Premium Lite and Google Home/Health bundled perks
  • High usage limits and scale-backed features (expanded token/context windows, agentic capabilities)

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 6 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted Google-One-like assistant: use Next.js + React for frontend, Node.js + Express for backend, Postgres for metadata, S3-compatible storage for files, and Stripe for billing. In scope: user sign-up/login, file upload/download, a chat UI that forwards prompts to an LLM API (configurable API key), Drive import/export via Google Drive API (OAuth), usage tracking, and admin pages for usage/billing. Out of scope: training models, reproducing Gemini, YouTube/Google Home/Health perks, and large-scale multi-tenant optimizations. Provide error handling, input validation, basic automated tests for backend endpoints, and deployment instructions (Docker + managed Postgres + S3).
How we checked4 sources · 2/3 runs agreed · evidence score 63

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score63

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded