• PIVOT
  • HUMAN
  • NOISE
  • REFINED

How to validate product specs with your AI

Connect your AI to the Steve Jobs Vision Prover to strip away technical noise. It forces your specs to stand up to real human needs.

Ask AI about this page

Short answer

How can I use AI to check if my product specs actually matter?

Your AI uses the validate_steve_jobs_vision tool to run your specs through strict design pivots. It identifies where you've focused too much on technical plumbing and where you've missed the human moment. This breakdown shows you how to refine your concept.

The results.

Where your concepts land.

The AI categorizes your specs based on how well they survive a design pivot.

PIVOT

Failed design pivots

The AI flags specs that collapse when the technical constraints change. You get a list of features that rely too heavily on specific plumbing.

HUMAN

Core human moments

These are the specs that hold up because they solve a real person's problem. The AI identifies these as your strongest foundation.

NOISE

Technical plumbing

This category captures features that exist just for the sake of technology. The AI highlights these so you can cut the bloat.

REFINED

Validated concepts

These specs have survived the stress test. You get a clear view of what is ready to move into development.

The workflow

What your AI does when the specs arrive.

The AI acts as a critical design partner, not just a text processor.

  1. Analyze the core concept

    The AI reads your initial product specs to understand the intended user value.

    validate_steve_jobs_vision

  2. Apply design pivots

    The AI simulates sudden changes in technical constraints to see if the user value remains intact.

    validate_steve_jobs_vision

  3. Identify technical bloat

    It separates essential user features from unnecessary technical complexity.

    validate_steve_jobs_vision

  4. Categorize outcomes

    The AI sorts every spec into specific buckets like human moments or technical noise.

    validate_steve_jobs_vision

Try it

Copy these to start.

Use these prompts to kick off the validation process.

Starting points

Replace the bracketed text with your actual documentation or ideas.

Steve Jobs Vision Prover Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_utuErD2gnpH4HqP1nZAn2SOTR0g5vHhqwe0DBzRx/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "steve-jobs-vision-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_utuErD2gnpH4HqP1nZAn2SOTR0g5vHhqwe0DBzRx/mcp"
    }
  }
}
Copy into chat04

  • Validate these product specs from my Notion doc: [paste specs here]

  • Run a design pivot on this feature list from my Google Doc: [paste specs here]

  • Check this technical spec from my GitHub repo for human-centric value: [paste specs here]

  • Stress-test this product concept I wrote in my notes: [paste specs here]

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

Start here

Connect Steve Jobs Vision Prover once, then ask.

Just link the MCP to your preferred client. Your credentials stay encrypted, and you can start testing immediately.

Connect Steve Jobs Vision Prover to your AI

FAQ

How this task behaves.

  • 01

    Can the AI rewrite my technical specs for me?

    No. The AI identifies flaws and categorizes specs, but you remain responsible for writing the final documentation.

  • 02

    Will the AI delete any of my original files?

    No. The AI only reads the data you provide to perform the validation.

  • 03

    Does it work with any document type?

    It works with any text you paste into your AI client or provide via a compatible source.

  • 04

    Can it automatically fix the technical plumbing issues it finds?

    No. It only flags the issues so you can decide how to fix them.

  • 05

    How does it decide if a spec is 'human'?

    It uses the validate_steve_jobs_vision tool to check if the value survives a pivot in technical constraints.

  • More questions about Steve Jobs Vision Prover? The Connector page answers them. See everything the Steve Jobs Vision Prover Connector can do

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