• OBSERVATION
  • PROTOTYPE
  • CRITIQUE
  • HUMAN

How to validate design concepts with your AI

Stop guessing if an idea works. Your AI uses the five-pivot check to stress-test your concepts against actual observations.

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Short answer

How do I validate design concepts with my AI?

The AI runs your concept through a five-pivot check to ensure it's based on real-world observation rather than industry clichés. You'll get a clear breakdown of where your idea is grounded and where it needs more testing.

Validation outcomes.

Where your design insights land.

The AI sorts every check into these four specific categories.

OBSERVATION

Grounded evidence

The AI checks if your concept matches your actual research. You'll see if your idea is rooted in reality or just a guess.

PROTOTYPE

Testable directions

The AI flags which parts of your design are ready for a prototype. This tells you exactly what to build to prove the concept.

CRITIQUE

Standard deviations

The AI identifies where you've fallen into generic industry patterns. It highlights where you're being predictable instead of observant.

HUMAN

Final judgment

The AI points out the subjective design decisions that require your intuition. These are the areas where the AI cannot provide a logical answer.

The workflow

What your AI does when the concept arrives.

The AI processes your raw idea through a structured validation loop.

  1. Analyze observations

    The AI compares your design intent against the specific observations you've provided to find mismatches.

    validate_davinci_design
  2. Run five-pivot check

    The agent applies the five-pivot framework to see if your idea survives scrutiny or relies on tropes.

    validate_davinci_design
  3. Identify prototype needs

    The AI determines which parts of the concept are too abstract and need a tangible test to prove they work.

    validate_davinci_design
  4. Flag human decisions

    The AI isolates the subjective elements of the design that it cannot validate through logic alone.

    validate_davinci_design

Try it

Copy these to start.

Use these prompts to kick off the validation process.

Starting points

These are opening lines. Swap the bracketed text with your actual design notes or research files.

Leonardo da Vinci Prover Connector

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Connector linkhttps://edge.vinkius.com/vk_preview_SOH4W1mNwo69Xl79rZe4v3Ba63vxQhcKozOOxHYW/mcp

Claude Desktop

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  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 — Leonardo da Vinci Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "leonardo-da-vinci-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SOH4W1mNwo69Xl79rZe4v3Ba63vxQhcKozOOxHYW/mcp"
    }
  }
}
Copy into chat04
  • Validate this design concept based on my observation notes in [research_log.pdf]: [paste concept here]

  • Run a five-pivot check on my current prototype idea for [mobile_app_v1]: [paste idea here]

  • Check if my design for [checkout_flow] is just following industry standards or if it's actually grounded in my user research in [folder_path]

  • Identify which parts of this [design_spec] need a physical prototype to be truly validated

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FAQ

How this task behaves.

  • 01

    Can the AI create the design prototypes for me?

    No. The AI identifies which parts of your design need a prototype, but you have to build them yourself.

  • 02

    Will the AI change my design files directly?

    No. The AI only analyzes your concepts and provides feedback; it does not edit your design files.

  • 03

    Does it work with my existing research notes?

    Yes. You can provide your observation logs or research files for the AI to use as the basis for the check.

  • 04

    What is the five-pivot check?

    It is a specific framework used to ensure design ideas are based on real observations rather than generic industry trends.

  • 05

    Can the AI decide if a design is 'good'?

    No. The AI flags where your design might be too generic or lacks evidence, but the final creative judgment is yours.

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