Opportunity Cost Prover Connector for AI agents.

It forces your AI agent to perform a rigorous economic analysis of any decision. It makes sure the agent looks at what you are giving up, not just what you are gaining.

It helps you validate tech choices by quantifying hidden costs like maintenance, learning curves, and the value of the features you have to delay to make the switch.

Yes. You can use it to compare different career paths, calculating the sunk costs of your current role against the time and money required to switch.

It is excellent for budgets. It forces the agent to put a price tag on the 'lost' opportunities of every dollar spent on one project instead of another.

It acts as a cognitive trap. By requiring a 'discarded alternative' and 'math verification,' it prevents the AI from just agreeing with your first idea.

Yes, it specifically flags irreversible decisions. This helps you identify high-risk moves that would be very expensive or impossible to undo later.

Because comparing a solution against 'doing nothing' is a false dichotomy used to artificially inflate the value of the solution. The engine forces the AI to compare its idea against the next best active technical strategy.

Because decisions are classified into two categories: type-1 (irreversible, one-way doors) and type-2 (reversible, two-way doors). If an AI suggests a type-1 decision without acknowledging its permanent nature (e.g. schema changes, switching databases), it creates technical debt that cannot be undone.

It means assigning a concrete cost (such as engineering velocity, infrastructure costs, or latency) to what you lose by choosing the path. For example, choosing custom development instead of a SaaS integration has an opportunity cost of slower time-to-market.