Download and import the Decision Matrix Extractor JSON
Save `decision-matrix-extractor.json` and import it via the Vezz me extension popup.
Download the Decision Matrix Extractor JSON preset for Vezz me. Highlight technical comparisons, vendor specs, or debate threads to generate a Markdown trade-off table.
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).
Server-Sent Events (SSE) run over standard HTTP/1.1 or HTTP/2 connections and support automatic reconnection via Last-Event-ID, but only allow unidirectional server-to-client text streaming. WebSockets upgrade the connection to a full-duplex framing protocol supporting binary and text frames in both directions, but require custom heartbeat/reconnect logic and stateful load-balancer routing.
| Dimension | Server-Sent Events (SSE) | WebSockets |
| :--- | :--- | :--- |
| **Directionality** | Unidirectional (Server -> Client) | Full-Duplex (Bidirectional) |
| **Proxy & Firewall Friendliness** | Native HTTP/2 (zero upgrade blocks) | Custom `Upgrade` (blocked on some L7 proxies) |
| **Reconnection** | Built-in (`Last-Event-ID`) | Manual (must code backoff + resync) |
| **Payload Format** | UTF-8 Text only | Binary (`ArrayBuffer`) + Text |
- **Choose SSE when**: Streaming LLM tokens, notifications, or live feeds where client actions happen <1/sec via normal `POST`.
- **Choose WebSockets when**: Building sub-50ms bidirectional apps (multiplayer games, collaborative canvas, raw audio).
- **18-Month Dealbreaker**: SSE fails if HTTP/2 is disabled (6-tab HTTP/1.1 limit); WebSockets hurt during stateful rolling deploys.
Copy the system prompt below or download the .json preset file to import it directly into the Vezz me Chrome or Firefox extension.
Explicitly forbids generic 'both have pros and cons, it depends' filler and forces concrete quantitative/architectural rules plus 18-month migration regrets.
Synthesize the selected text into an objective, high-signal Decision Matrix: 1) Markdown Trade-Off Table: compare the options across Primary Strength, Operational Complexity, Cost/Scaling Cliff, Lock-In Risk, and Worst Failure Mode, 2) Sharp Decision Rules (No 'It Depends'): write explicit threshold rules ('Choose [Option A] when [specific condition/volume]' and 'Choose [Option B] when [specific condition/volume]'), and 3) 18-Month Dealbreakers: state the #1 reason teams migrate *away* from each option 18 months later.Save `decision-matrix-extractor.json` and import it via the Vezz me extension popup.
Select the text discussing two or more approaches (or ask to compare the highlighted tool against a named alternative).
The output is formatted in clean GitHub-Flavored Markdown ready for engineering or product docs.
If you highlight documentation for just one tool (e.g., Kafka), Vezz me will automatically compare it against its primary industry alternatives (e.g., RabbitMQ / SQS / Postgres queues) or whatever alternative you name.
Yes—both Notion and GitHub render the Markdown table natively when pasted.
Yes, download the Master Prompt Pack to import all 22 presets at once.
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.