Steve Jobs Vision ProverをChatGPTとClaudeに接続

• 01 / 03機能を削ぎ落とす
• 02 / 03製品ピッチを磨き上げる方法
• 03 / 03製品仕様の妥当性を検証する

最速日

715ms

最遅日

1411ms

14日間の傾向

改善傾向-18%

Steve Jobs Vision Prover Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_utuErD2gnpH4HqP1nZAn2SOTR0g5vHhqwe0DBzRx/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Steve Jobs Vision Prover capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "steve-jobs-vision-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_utuErD2gnpH4HqP1nZAn2SOTR0g5vHhqwe0DBzRx/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Steve Jobs Vision ProverをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  プロダクトマネージャー

  機能の追加ではなく、何を削るべきかを判断する基準として活用できます。

• 02

  UXデザイナー

  技術仕様に偏らず、人間中心の体験（モーメント）を設計できているか検証できます。

• 03

  AIエンジニア / プロンプトエンジニア

  LLMが生成する設計案が、単なる機能の羅列になっていないかを厳格にチェックできます。

• 01

  What does this MCP actually do?

  It acts as a design critic for your AI client. It uses a set of strict principles to evaluate if a product idea is simple, human-centric, and bold, or if it is bloated and cowardly.

• 02

  How is this different from just asking an AI to design a product?

  Standard AI prompts lead to feature bloat and technical jargon. This MCP imposes a structured obligation that the agent cannot skip, forcing it to justify its design choices through specific pivots like radical simplification and complexity absorption.

• 03

  Which AI clients can use this MCP?

  You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 04

  Does the MCP generate product ideas?

  No. The MCP does not generate ideas. It validates the reasoning and design logic of the ideas your agent produces.

• 05

  What happens if my design fails the validation?

  The capability will reject the call and provide a specific error message, such as FEATURE_BLOAT or TASTE_ABSENT, along with coaching on how to fix the contradiction.

• 06

  Does it generate product designs?

  No. It computes nothing and generates nothing. The LLM designs the product. this capability validates that the reasoning behind the design is rigorous. It catches contradictions: if the LLM claims zero configuration but describes a settings panel, the capability rejects and explains why.

• 07

  What does it catch that a prompt instruction doesn't?

  A prompt says 'think like Steve Jobs.' The LLM nods and generates bloated designs anyway. This capability forces the LLM to fill in specific fields. name what it killed, describe the human moment without tech words, explain how the system decides. Capability calls are obligations. Instructions are suggestions. The LLM cannot skip the reflection.

• 08

  Can I use it for developer capabilities and APIs, not just consumer products?

  Yes. The principles apply universally. A CLI capability with 47 flags is the same failure as a consumer app with a settings menu. you pushed decisions to the user. The 'experience backwards' pivot works for developers too: start with the developer's workflow, not your architecture.

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