• DEBT
  • LOCK-IN
  • MATH
  • HUMAN

How to vet architectural decisions with your AI

Stop guessing if a new framework is worth the switch. Use your AI to run hard math on the trade-offs before you commit code.

Ask AI about this page

Short answer

How do I use AI to check my tech stack decisions?

You use the Opportunity Cost Prover to force your AI to calculate the mathematical difference between your chosen stack and the next best alternative. It identifies where you're building vendor lock-in or accumulating debt by comparing specific cost drivers. You get a clear breakdown of the long-term impact of your current path.

The outcomes of a comparison.

Where your data lands.

The AI processes your stack details to produce these four specific views.

DEBT

Technical debt map

The AI flags specific components that will increase maintenance costs over time. You see exactly where your current path gets expensive.

LOCK-IN

Vendor lock-in risk

It calculates how difficult it would be to migrate away from your chosen providers. You get a score for how much control you're giving up.

MATH

Comparative cost analysis

The AI runs a side-by-side math model of your stack against the next best alternative. You see the raw numbers behind the decision.

HUMAN

Final decision review

The AI presents the data, but you make the call. You decide if the mathematical cost is worth the developer velocity you gain.

The workflow

What your AI does when the stack details arrive.

The AI doesn't just agree with you. It looks for the friction you're ignoring.

  1. Identify the baseline

    The AI pulls your current architecture details to establish a starting point for the math.

    validate_opportunity_cost

  2. Model the alternative

    It builds a mathematical profile for the most viable alternative stack based on your requirements.

    validate_opportunity_cost

  3. Calculate the delta

    The AI compares the two models to find the hidden costs of your primary choice.

    validate_opportunity_cost

  4. Flag the risks

    It isolates specific areas where you are trading long-term stability for short-term speed.

    validate_opportunity_cost

Try it

Copy these to start.

Paste these into your chat to begin the analysis.

Starting points

Swap the bracketed text for your actual tech stack or specific cloud provider.

Opportunity Cost Prover Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_ZFd8LqEVtY701O4TOCE0mGQ2ALJXVY7ItOpEKw72/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 — Opportunity Cost Prover capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "opportunity-cost-prover-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_ZFd8LqEVtY701O4TOCE0mGQ2ALJXVY7ItOpEKw72/mcp"
    }
  }
}
Copy into chat04

  • Compare my current use of AWS Lambda against a containerized approach on GCP.

  • Run an opportunity cost analysis on switching our primary database from PostgreSQL to DynamoDB.

  • Calculate the technical debt risk of using this specific third-party auth provider for our new app.

  • Show me the mathematical difference in maintenance costs between our current monolith and a microservices setup.

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

Start here

Connect Opportunity Cost Prover once, then ask.

One click connects this MCP to your client. Your credentials stay encrypted and the logic runs through your preferred interface.

Connect Opportunity Cost Prover to your AI

FAQ

How this task behaves.

  • 01

    Does the AI make the final architectural decision?

    No. The AI provides the mathematical comparison and identifies the risks, but you make the final decision.

  • 02

    Can the AI change my infrastructure settings?

    No. This MCP only reads and analyzes data to provide comparisons. It cannot execute changes in your cloud environment.

  • 03

    How does it calculate the cost of technical debt?

    It uses the parameters you provide to model the projected increase in maintenance and complexity over time.

  • 04

    Does it require access to my cloud provider accounts?

    No. You provide the stack details in the chat, and the AI uses those to run the validation tool.

  • 05

    Can it compare any two technologies?

    Yes, as long as you can describe the cost and complexity drivers for both options in your prompt.

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

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