How We Built an HVAC Quote Checker That Treats Scope as Data

typescript dev.to

Most HVAC quote tools begin with equipment price. We found that the harder homeowner problem starts one step earlier: two contractor bids can show similar equipment and still describe very different jobs.

A low bid may exclude permits, electrical corrections, duct repairs, old-equipment removal, startup testing, or labor warranty. A higher bid may include those items, but bury them in paragraphs of proposal language. A useful quote checker therefore has to model scope, not just price.

Start with a normalized project model

The calculator and quote checker share a small set of planning inputs: location, home size, system type, efficiency tier, project type, and known installation conditions. We keep those inputs separate from the contractor's written scope so the interface can explain two different things:

  1. A planning range based on the home and system.
  2. Missing or ambiguous line items in the contractor bid.

A simplified TypeScript shape looks like this:

interface QuoteReview {
  project: {
    systemType: string;
    homeSize: number;
    replacementType: "full" | "partial";
  };
  scope: {
    permit: "included" | "excluded" | "unclear";
    ductwork: "included" | "excluded" | "unclear";
    electrical: "included" | "excluded" | "unclear";
    startupTesting: "included" | "excluded" | "unclear";
    laborWarranty: "included" | "excluded" | "unclear";
  };
}
Enter fullscreen mode Exit fullscreen mode

The important design choice is the third state: unclear. In a real proposal, absence is not always the same as exclusion. Treating every missing phrase as a definite problem would create false confidence. The checker instead turns ambiguity into a question the homeowner can take back to the contractor.

Separate the benchmark from the verdict

A planning range is useful, but it should not declare a bid fair or unfair by itself. Local labor, access, code requirements, climate, equipment availability, and home condition can move the installed price substantially.

Our workflow uses the range as context, then reviews the written scope. The output highlights what may explain the difference: difficult attic access, return-air work, panel capacity, refrigerant-line changes, permit responsibility, removal, controls, or warranty coverage.

That produces a more defensible message: "Here are the items that could explain this quote" instead of "This contractor is overcharging you."

Make missing scope actionable

Each warning needs a next step. A generic red flag is less useful than a question such as:

  • Who pulls the permit and pays for failed-inspection corrections?
  • Is duct repair included, excluded, or priced after installation starts?
  • Are the indoor and outdoor units an approved equipment match?
  • Does startup include measured airflow and refrigerant checks?
  • How long is labor covered separately from the manufacturer warranty?

The goal is not to replace a licensed contractor or professional load calculation. It is to help the homeowner request an itemized proposal and compare at least three qualified local bids on equivalent scope.

Build transparency into the product

The public tool is built with Next.js, React, TypeScript, and Tailwind CSS. We keep the methodology separate from the interface so assumptions and limitations can be reviewed without reading component code.

The public methodology repository documents the estimate inputs, the quote-comparison workflow, and the safety boundaries:

https://github.com/fishcoco-code/clear-hvac-cost-methodology

You can try the homeowner-facing quote review here:

https://www.clearhvaccosts.com/hvac-quote-checker

The broader installed-cost calculator is here:

https://www.clearhvaccosts.com/hvac-cost-calculator

What we learned

The main lesson was that price transparency is mostly a data-modeling problem. If the product stores only a total price, it cannot explain why bids differ. Once scope becomes structured data, the interface can compare inclusions, surface uncertainty, and generate questions without pretending to know facts that are not in the proposal.

That pattern extends beyond HVAC. Any high-cost local service quote becomes easier to evaluate when the product separates the benchmark, the written scope, and the unknowns.

Source: dev.to

arrow_back Back to Tutorials