How the Vynix AI diagnosis works

Vynix AI diagnosis helps explain why something on a website may be broken. It combines what you click with browser context, then suggests a likely root cause for a developer or coding agent to investigate.

1. Add the lightweight Vynix widget to the site you want to review.
2. Open the site, click the widget, then select the element or area that looks wrong.
3. Vynix captures the selected element, a screenshot, and relevant browser context such as console messages and network activity.
4. The AI reviews the captured context and generates a diagnosis of the likely root cause.
5. Copy the ready-to-build prompt, or open a GitHub issue and assign it to a coding agent or developer.

The diagnosis starts with the exact place you click. Instead of describing a bug from memory, you point Vynix at the broken button, layout issue, missing content, or unexpected behavior. This gives the AI a focused starting point.

Vynix then gathers supporting context from the page. This may include the selected element, nearby structure, a screenshot, console errors, and network request details. The goal is to give the AI enough evidence to explain what is probably happening without requiring you to manually collect logs.

The AI diagnosis is not a guaranteed fix. It is a structured, evidence-based suggestion that helps developers move faster. A developer should still review the output, confirm the root cause, and test any changes before shipping.

After the diagnosis is created, Vynix helps turn it into action. You can copy a developer-ready prompt or create a GitHub issue with the captured context so the work can be picked up by a person or coding agent. For setup details and current feature behavior, see the Vynix docs.

Related questions

What information does Vynix use for the AI diagnosis?

Vynix uses the element you select, a screenshot, and relevant browser context such as console and network information. The exact context available can depend on the page, browser, and widget setup.

Can I trust the AI diagnosis as the final answer?

Treat it as a strong starting point, not a final verdict. The diagnosis can help identify likely causes and next steps, but a developer should verify the issue and test the fix.