The AI step in SnippingFlow is generic on purpose. It is the same vision-capable model behind every capture, so it is up to you what you do with it. After watching a few thousand prompts come through, nine patterns stand out as the ones that consistently return useful answers. They are organized by persona below.
For developers
1. "Explain this error"
Snap a stack trace, console output, or a debugger pane. The AI reads the error text, the surrounding line numbers, and any inline code. The answers tend to be specific: which frame is the actual cause versus which ones are downstream, what the most common fix is, and which file you should open first.
2. "Convert this UI to code"
Snap a screenshot of any UI — a competitor's landing page, a Dribbble shot, a Figma export — and ask for HTML and Tailwind. The output is rarely production-ready, but it is close enough that you can iterate from it instead of starting from a blank file.
3. "What does this regex do?"
Snap a regex you found in an old repo. The AI breaks it down component by component and gives you a one-line summary plus two or three examples of strings it would and would not match. Useful when you inherit code from someone who loved obfuscation.
For marketers and growth folks
4. "Summarize this pricing page"
Snap any SaaS pricing page — yours or a competitor's — and ask for a structured summary: the tiers, what each tier gates, any hidden usage caps, and the implied target customer per tier. It is faster than reading four columns of fine print.
5. "Rewrite this headline as five variations"
Snap your current hero section and ask the AI to rewrite the headline five different ways — punchier, more concrete, question-form, first-person, etc. Pick one, A/B test it.
6. "Extract the offer details from this email"
Snap a marketing email in Gmail. Ask for the sender, the offer, the deadline, the CTA copy, and any disclaimer fine print. Useful when you are running a competitive teardown and need structured data fast.
For ops and finance
7. "What is this chart saying?"
Snap any chart — Mixpanel, Stripe, a Google Sheet, a Notion dashboard — and ask for a plain-English interpretation: what variable is on each axis, the trend, any obvious outliers, and the highest and lowest values visible. Faster than re-pivoting the underlying data.
8. "Extract this invoice line items as a table"
Snap a PDF invoice open in your browser, ask for line items, subtotal, tax, and total in CSV. Paste straight into your spreadsheet.
For everyone
9. "Translate this, keep the layout"
Snap a screenshot of any UI in any language. Ask for a translation that preserves the position of every element. The answer is useful for quickly understanding what a foreign-language product does, even when you do not read the language.
What the AI is bad at
A short honesty list: it cannot do math reliably, so do not ask "what is 14% of 2,847?". It cannot browse, so do not ask "is this product still in stock?". It cannot open links inside the screenshot. And it cannot see anything outside the rectangle you captured, so if the answer needs surrounding context, snap a larger region or paste the page URL alongside the prompt.