• CONFLICT
  • DECISION
  • BOUNDARY
  • HUMAN

How to resolve requirement contradictions with your AI

Connect Hawking Boundary Prover to your AI client to stop it from glossing over technical conflicts. It forces your agent to document exactly where one requirement ends and another begins.

Ask AI about this page

Short answer

How do I stop my AI from making assumptions when requirements conflict?

The AI uses the Hawking Boundary Prover to scan your technical specs for overlapping or opposing constraints. It flags these friction points and requires you to pick a priority before it proceeds. You get a clear map of every technical trade-off made during the session.

The outcomes.

Where every conflict lands.

The AI categorizes every identified contradiction into one of these four states.

CONFLICT

Active contradictions

The AI identifies two or more requirements that cannot both be true. You get a specific list of these clashes to review.

DECISION

Resolved priorities

Once you pick a side, the AI logs the decision. This prevents the agent from reverting to the old, conflicting logic later.

BOUNDARY

Defined limits

The AI establishes the hard edges of a requirement. This stops the agent from overstepping into areas where constraints are tight.

HUMAN

Manual intervention

When the AI finds a logic loop it can't break, it stops. You decide the path forward when the math doesn't add up.

The workflow

What your AI does when requirements arrive.

Instead of guessing, your agent follows a strict validation loop to protect your technical integrity.

  1. Scan for friction

    The AI reads your technical documentation to find where one constraint hits another. It looks for logical overlaps that would cause errors.

    validate_hawking_boundary

  2. Flag contradictions

    The agent isolates specific points where requirements fight. It presents these as distinct, unresolvable conflicts.

    validate_hawking_boundary

  3. Force a choice

    The AI refuses to move forward until you define which priority wins. This prevents the agent from hallucinating a middle ground.

    validate_hawking_boundary

  4. Lock the decision

    The agent writes the chosen priority into the project context. This ensures the technical boundary stays firm for all future prompts.

    validate_hawking_boundary

Try it

Copy these to start.

Use these prompts to kick off the boundary check.

Starting points

These are opening lines to trigger the process. Swap the bracketed text for your actual files or project names.

Hawking Boundary Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_yMN6urkUYACm1x77B80uVAhuEDOIE9U6QYD0dyI8/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 — Hawking Boundary Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "hawking-boundary-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_yMN6urkUYACm1x77B80uVAhuEDOIE9U6QYD0dyI8/mcp"
    }
  }
}
Copy into chat04

  • Check the requirements in my technical_spec.md for any conflicting priorities.

  • Review the constraints in this GitHub repo and find where they contradict.

  • Analyze the system architecture in my design_doc.pdf and flag any boundary issues.

  • Look at the user stories in this Jira ticket and tell me if any requirements are impossible to meet simultaneously.

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

Start here

Connect Hawking Boundary Prover once, then ask.

You only need to link the MCP to your client once. After that, your agent can immediately start validating your technical boundaries.

Connect Hawking Boundary Prover to your AI

FAQ

How this task behaves.

  • 01

    Will the AI change my original requirements?

    No. The AI only identifies contradictions and asks you for a decision. It never rewrites your source documents without your explicit command.

  • 02

    Can the AI resolve the conflict by itself?

    No. The purpose of this MCP is to prevent the AI from making its own assumptions. It will stop and wait for you to decide which priority takes precedence.

  • 03

    Does it work with any technical document?

    Yes, as long as your AI client can read the file format, the MCP can process the logic within it.

  • 04

    What happens if I don't make a decision?

    The agent will stay stuck at the boundary. It won't proceed with tasks that rely on the conflicting requirements until the priority is set.

  • 05

    Does it track the decisions it makes?

    Yes. It documents the resolved priorities so the agent maintains a consistent logical boundary throughout your session.

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

Connect Hawking Boundary Prover to Claude, Cursor, ChatGPT & more