• CRITICAL
  • CASCADE
  • LOGIC
  • HUMAN

How to red team system architectures with your AI

Stop asking your AI if a design works. Instead, use inversion to force it to find exactly how your system will break.

Ask AI about this page

Short answer

How do I use AI to find flaws in my system design?

You use inversion to flip the logic of your design, forcing your AI to hunt for failure modes and second-order effects. This process uncovers hidden vulnerabilities and cascading risks. You get a clear list of what to fix.

Where the risks land.

The outcomes of an inversion session.

The AI processes your technical design through four specific lenses of failure.

CRITICAL

Single points of failure

The AI identifies components that can bring down your entire stack. You get a map of where to add redundancy.

CASCADE

Second-order effects

It finds how one small error triggers a chain reaction. This reveals how local issues become system-wide outages.

LOGIC

Assumption gaps

The AI flags where your design relies on unproven assumptions. It highlights the shaky logic in your requirements.

HUMAN

Manual review needed

The AI highlights complex architectural contradictions. These are the high-level design choices that require your own judgment.

The workflow

What your AI does when the architecture arrives.

The AI doesn't just agree with you; it actively tries to dismantle your logic.

  1. Invert the goal

    The AI shifts from 'how to build this' to 'how to break this'. It redefines the objective to focus on failure.

    validate_inversion_thinking

  2. Identify failure modes

    It scans your components for specific ways they can fail, like bottlenecks or state mismatches.

    validate_inversion_thinking

  3. Trace dependencies

    The AI maps how a failure in one service ripples through the rest of the system to find hidden connections.

    validate_inversion_thinking

  4. Validate logic

    It runs a final check to ensure the identified risks are grounded in your actual design to filter out noise.

    validate_inversion_thinking

Try it

Copy these to start.

Paste these into your chat to begin the red teaming process.

Starting points

Swap the bracketed text for your specific design docs, repo links, or service descriptions.

Inversion Thinking Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_On8hh3elZBQecoi5mn0INew0FQYXjDeZ1NKrG7xB/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 — Inversion Thinking Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "inversion-thinking-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_On8hh3elZBQecoi5mn0INew0FQYXjDeZ1NKrG7xB/mcp"
    }
  }
}
Copy into chat04

  • Use inversion thinking to find three ways my microservices architecture in this repo could suffer a total outage.

  • Apply inversion to this database schema to find how a sudden spike in write volume would break the system.

  • Look at this deployment plan for the auth service and tell me how to ensure it fails completely.

  • Invert my design for the load balancer logic to find the most likely second-order effects of a latency increase.

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

Start here

Connect Inversion Thinking Prover once, then ask.

Connect the MCP to your preferred client. Once connected, your AI can immediately start tearing apart your designs.

Connect Inversion Thinking Prover to your AI

FAQ

How this task behaves

  • 01

    Does the AI rewrite my architecture?

    No. The AI only identifies flaws and failure modes. You have to make the actual design changes yourself.

  • 02

    Can the AI fix the bugs it finds?

    No. It identifies the failure modes and second-order effects, but it does not generate new code or updated diagrams.

  • 03

    What kind of files can I use?

    You can use any text-based design documentation, code repositories, or architectural descriptions you provide to your AI client.

  • 04

    Will it find every single possible error?

    No. It only finds the failure modes it can derive from the specific logic you provide.

  • 05

    Does it work with any AI client?

    Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • More questions about Inversion Thinking Prover? The Connector page answers them. See everything the Inversion Thinking Prover Connector can do

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