Import the First-Principles Deconstructor preset
Download the `.json` file and import it into Vezz me's Saved Prompts.
First-Principles Breakdown Prompt: strip away buzzwords to core mechanisms.
Cut through marketing hype, architectural buzzwords, and academic abstraction. This Vezz me prompt preset decomposes any passage into fundamental constraints, inputs/outputs, and tradeoffs.
Best fit
Best for engineers, founders, and researchers evaluating new technologies, whitepapers, and system designs.
On-screen walkthrough
How this looks on a real webpage.
Instead of switching tabs and rebuilding context, highlight the exact passage that slowed you down and press your shortcut (default: Ctrl+Shift+X or Cmd+Shift+X on macOS, fully customizable in settings).
1. Highlighted on page (AI Infrastructure Product Page — 'Infinite Context Memory Engine')
Our proprietary Neural Memory Fabric eliminates context window limits entirely, allowing agents to reason over 100 million tokens with zero latency degradation.
Ctrl+Shift+X“Run First-Principles Deconstructor on this claim.”
2. Vezz me on-screen answer overlay
**1. Fundamental Constraint:** Transformer self-attention scales quadratically (or linearly with KV-cache memory) with token length; you cannot attend over 100M raw tokens in GPU HBM simultaneously without massive memory and bandwidth cost.
**2. Actual Mechanism Beneath the Buzzwords:** 'Neural Memory Fabric' is almost certainly an indexed retrieval pipeline (vector/hybrid RAG, hierarchical summarization, or episodic KV-cache eviction) that fetches only a small top-K subset of tokens into the active context window per turn.
**3. Hidden Tradeoff Paid:** **Recall vs. Latency.** You get constant latency only by dropping non-retrieved tokens—meaning 'needle-in-a-haystack' or global aggregation queries ('count every mention of X across all 100M tokens') will lose accuracy.
3. Suggested follow-up questions in thread
- “What 2 technical questions should I ask their engineering team to confirm if this is just RAG?”
- “Under what workload would this architecture genuinely outperform a 1M-token native context window?”
Importable Prompt Preset
Use this custom prompt in Vezz me.
Copy the system prompt below or download the .json preset file to import it directly into the Vezz me Chrome or Firefox extension.
Vezz me Custom Prompt Preset
First-Principles Deconstructor
Every engineering or economic system trades one scarce resource for another. Asking what tradeoff is being paid exposes what marketing pages hide.
Deconstruct the selected passage from first principles. Strip away all marketing buzzwords and domain jargon: 1) What is the actual physical, mathematical, or economic constraint being solved? 2) What is the exact mechanism (inputs -> transformation -> outputs)? 3) What fundamental tradeoff is being paid (e.g., latency vs throughput, memory vs compute, risk vs return) that the passage glosses over?Step-by-step workflow
How to run this workflow in place.
Highlight buzzword-heavy paragraphs
Select product pitches, architecture overviews, or abstract theories and press Ctrl+Shift+X.
Inspect the fundamental tradeoff
Read what resource—memory, latency, consistency, or risk—is being traded away behind the scenes.
Key details
Why this approach works better than switching tabs.
Frequently asked questions
Common questions about deep analytical preset.
Why use Detailed context mode with this preset?
Detailed context lets Vezz me see the surrounding headings and technical specifications on the page so it can connect high-level marketing claims in the hero section with the actual architecture details further down.
Related workflows & guides
Explore connected pages.
Ready to try this workflow on your own reading?
Install Vezz me free, highlight text on any webpage, and press your customizable shortcut (default: Ctrl+Shift+X or Cmd+Shift+X on Mac) to get an answer right beside the source.
