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🔄 Mega table: same prompt rewritten across OpenAI, Anthropic, Google, Meta & Mistral

How to adapt “Explain MVC simply for a university student” — side‑by‑side rewrite strategies

🎯 Base task (same intent for all)

“Explain MVC simply for a university student.”

📚 Mega table — Prompt rewrites across major AI ecosystems

Provider	Prompt style emphasis	Example rewrite
OpenAI	Clear task + context + output shape + tone	Context: I’m writing a university assignment on software architecture. Task: Explain MVC simply. Constraints: Keep it under 150 words. Format: 3 bullet points. Tone: Clear and academic.
Anthropic	Modular sections, explicit blocks	Role: Act as a university teaching assistant. Background: The reader is new to programming architecture. Task: Explain MVC. Rules: Use simple language, avoid jargon, stay under 150 words. Output: 3 bullet points. Example: Use one practical web-app example.
Google / Gemini	Specification-like instruction + structured output	Explain MVC for a university student. Use beginner-friendly language. Limit to 150 words. Return output in exactly 3 bullet points. Include one short real-world example. Avoid technical jargon.
Meta (Llama ecosystem)	Instruction + examples + pattern-following	Explain MVC simply for a university student. Keep the explanation short and easy to understand. Use this style: Concept → simple meaning → short example. Provide 3 bullet points.
Mistral AI	Compact, direct, minimal overhead	Explain MVC simply for a university student in 3 short bullet points with one easy example. Keep it under 150 words.

🎭 Same task — different writing philosophy

OpenAI

Balanced, practical, direct

Anthropic

Organized like a mini‑briefing

Google

Feels like a technical output specification

Meta

Often benefits from pattern/example anchoring

Mistral AI

Efficient, concise, low‑friction

⚡ Quick practical takeaway

A single raw request like:

“Explain MVC simply.”

can become more controllable if adapted like this:

• OpenAI → add context + format + tone
• Anthropic → turn it into structured prompt blocks
• Google → write it like an explicit output specification
• Meta → give a pattern/example to imitate
• Mistral AI → keep it short but precise

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📌 Going further — “prompt conversion matrix”
If you want, I can also make a much larger “prompt conversion matrix” — for example, how the same prompt should be rewritten for research, coding, legal writing, academic papers, debugging, summarization, and business reports across all five ecosystems. This second table is just the MVC example. Stay tuned for the extended version.

🧠 Unified rewrite reference — aligned with official guidelines from OpenAI, Anthropic, Google, Meta Llama, and Mistral AI. Use this to adapt any raw instruction.