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Before You Buy: Use Minis for Purchase Decision Analysis — MacBook Neo Example

One Prompt → Full Purchase Decision Report with Benchmark Ladder, Pros/Cons, and Price Research


🎯 Pain Point

Before buying a new laptop, you need to watch many review videos, manually check prices across platforms, compare benchmark scores across generations, and understand subsidy-stacking rules. The information is scattered across Bilibili, tech media, Geekbench, and retailer promotion pages, often leaving you more confused than before.


💡 What It Does

Say one sentence to Minis. It automatically fetches Geekbench 6 scores, tech media reviews, e-commerce prices, and subsidy policies, then generates:

  • CPU benchmark ladder: single-core and multi-core comparisons, clearly showing which models the target machine matches
  • Deal-breaker list: structured cons with impact levels for different use cases
  • Use-case analysis: distinguishes “pure Vibe Coding” from workloads like “compiling apps”
  • China final-price lookup: official price → after national subsidy → with education discount → lowest trade-in price, all in one table
  • Shareable infographic: an AI-generated purchase decision visual with a “hype vs. deal-breaker” style

Example: MacBook Neo (A18 Pro, starting at ¥4,599). Minis reached a conclusion in 5 minutes:

  • Single-core performance ≈ MacBook Air M3; multi-core only ≈ M1, roughly 2020-level
  • ¥3,909 after national subsidy; as low as ¥3,399 with education discount
  • Good enough for pure Vibe Coding, but compiling iOS apps is multi-core intensive. After thermal throttling, Neo performance drops by 87%, and large-project compile time is 2x+ compared with M4
  • Verdict: fine as a ¥599 entry device, but not suitable as a primary development machine ❌

🛠 Skills Used

Skill Purpose
Built-in browser_use Fetch Geekbench scores, tech media reviews, and e-commerce prices
Built-in shell + Python Aggregate data and run comparison analysis
nano-banana Generate a shareable infographic with the Nano Banana 2 model

💬 Example Prompts

How does the MacBook Neo's CPU and benchmark scores compare to other MacBook models?
What is the MacBook Neo's China price after the national subsidy?
Generate an infographic titled “MacBook Neo — From Hype to Deal-Breaker”.
On the left, show the Neo benchmark ladder, comparing single-core and multi-core
scores with other Macs. On the right, list the cons and explain that it may be fine
for pure Vibe Coding, but I need to compile apps.

⚙️ Requirements

  • nano-banana skill installed; it currently defaults to Nano Banana 2 (gemini-3.1-flash-image-preview)
  • GEMINI_API_KEY configured for Gemini image generation
  • No extra configuration for web search and data analysis; Minis built-in capabilities are enough

💡 Tips

  • Replace the target with any digital product, such as “iPhone 17e vs previous iPhone SE models” or “RTX 5080 vs 4090 value comparison.”
  • The generated infographic can be screenshotted and shared to Weibo, Xiaohongshu, or WeChat Moments.
  • National subsidy policies may change quarterly; include the current month and year when asking for the latest pricing.
  • For developers, focus on “multi-core performance” and “thermal throttling,” because these determine compile experience.

📸 Screenshots

MacBook Neo — From Hype to Deal-Breaker: CPU ladder + deal-breaker infographic


👤 Contributor

Internal case · Added 2026-04-09


📅 Last Verified

2026-04-09