Gemini 3.8 Flash Website Test: A Practical AI Delivery Checklist

An AI-generated website can look impressive and still be a poor client deliverable. In my latest video, I tested a futuristic agency website with Gemini 3.8 Flash inside Antigravity, revised it four times, and then tried a consolidated brief with Astra. The useful business lesson was not a universal model ranking. It was how much judgement is still required between generation and delivery.

Watch the original demonstration on YouTube (Turkish)

What the experiment actually showed

The first version felt too basic for the brief. Adding visual references in the second round did not automatically improve it: I preferred aspects of the first version and found layout problems in the revision. A third attempt introduced a more organised structure, but the visual result still felt generic to me. The fourth improved typography and some earlier issues, without reaching a standard I wanted to deliver to a client. Those are observations from this particular project, not measurements of every task the model can perform.

Why the Astra comparison is not a controlled benchmark

I then combined the project requirements for Astra and used a high reasoning setting. I preferred its output in this example. However, the context, iteration history and settings were not held constant. Neither the elapsed effort nor the final model cost was normalised. A purchase decision should not depend on treating this demonstration as a scientific leaderboard. Use it to design your own small acceptance test instead.

Define acceptance criteria before choosing the model

For a business website, start with the action the visitor should take. Is the page explaining one service, collecting an enquiry, or presenting a portfolio? Write down the required sections and the evidence that each section works. A working enquiry button matters more than an additional background effect. Require readable text, a usable mobile layout, appropriate contrast and a form that reaches its intended destination. These are suggested delivery criteria, not claims that every item passed in the video.

Run revisions as separate, testable tasks

Avoid making every revision a request to improve everything. First confirm the structure and copy. Next test navigation and forms. Then add motion only where it helps explain the offer. Keep the previous working version so that a more attractive revision does not silently remove functionality. Record the prompt, the result and what still needs correction. That makes it easier to compare tools by the amount of usable work they produce rather than by their opening screenshot.

Budget for the full workflow

The video includes account-specific access and student or promotional offers. Those are not a promise that every reader qualifies. Application subscriptions, API usage and promotional credits are separate budget items. Check the current terms in your own account before pricing a project. Also count your review time, revisions, hosting and licensed assets. I did not independently verify a final Astra invoice in the demonstration, so this article does not present the spoken cost estimate as a confirmed production price.

A sensible first commercial experiment

Build one small demonstration for a clearly defined type of customer. Keep its scope narrow: one service, one page and one primary action. Test it on a phone and a desktop before showing it as a finished deliverable. Review generated code and form handling, and check the licences of any design references or components you reuse. A generated page is a prototype until those checks are complete. This approach can help you evaluate a service idea, but it does not guarantee demand, revenue or a successful sale.

Frequently asked questions

Did the free workflow produce a client-ready website?

Not to my preferred standard in this test. Several iterations improved parts of the design, but I still wanted further work.

Does this prove that Astra is always better?

No. It records my preference in a non-controlled comparison. Your task, settings and acceptance criteria may produce a different result.

What should a business owner measure?

Useful output, correction time, functional checks and actual total cost. Do not substitute a benchmark headline for those measurements.

Plan the next step

Explore our approach to AI, commerce and business workflows at Digital Market Mentoring before choosing a project scope.

Disclosure: Digital Market Mentoring is our own business. This article is educational and based on a personal demonstration. It does not guarantee earnings or a particular result. Check current provider terms, permissions and prices before committing to a workflow.