Comparison
Renolume vs AI renovation calculators
Asking a chat assistant what a roof costs gets you a fluent, confident, unverifiable number. The fluency is the problem: nothing in the output tells you how it was produced or how wrong it might be.
Side by side
| Dimension | AI chat calculators | Renolume |
|---|---|---|
| How the number is produced | Language model output, generated fresh each time | Deterministic engine: fixed task library, published rates, explicit rules |
| Repeatability | Same inputs can produce different answers | Same inputs always produce the same estimate |
| Auditability | A narrative explanation, which may not reflect the actual arithmetic | A rule trace tied to the arithmetic that produced the total |
| Data provenance | Unstated; training data of unknown vintage | Government wage series, published material indices, municipal permit records |
| Uncertainty | Usually implied confidence, rarely quantified | Explicit 0–100 score, band and widened range |
| Local accuracy | Often a national average wearing a local label | Measured metro wage samples where they exist, and it says when they do not |
What AI is genuinely good at here
Explaining terminology, drafting questions to ask a contractor, summarising a bid, or talking through trade-offs. Renolume does not try to replace that.
What it should not be trusted with
The arithmetic behind a five-figure decision. A model that cannot show which local wage series it used, which conditions it applied, or how sure it is, is producing prose that looks like an estimate.
Plan your project with a number you can defend
Answer eight short steps and get a cost range, a phase-by-phase scope list, a timeline and a stated confidence score.
Choose a project type