Six ways general chatbots go wrong on construction estimates

1. Walls counted as fragments

Every pair of parallel lines looks like a wall, so one partition crossed by doors and tags becomes many short runs, and some are missed.

2. Heights assumed, not read

Using the ceiling height instead of the wall-type callout under-counts board on full-height partitions by up to 15%.

3. Prices from memory

A chatbot's price is a recollection or a web search result, not a quote from a store or a cost database, and it rarely tells you which. Field24 prices residential work at Home Depot, commercial work at market rates from private cost databases, and labor by ZIP, with the source on every line.

4. Nothing to check

A total with no mark on the drawing cannot be audited. If you cannot see which line was counted, you cannot find the one that was missed. Field24 marks every row on the sheet where it was measured.

5. Addenda summarized, not re-measured

A chatbot can summarize an addendum you upload, but nothing in your estimate changes. Field24 re-measures the affected sheets and re-prices the rows.

6. Scale guessed

Without scale calibration, every length depends on the model reading the scale note correctly and applying it consistently. Field24 reads exact lengths from the PDF's vector layer and runs a wall detector on scanned sheets.

What it adds up to

Up to 88% depending on the trade: this is drywall and framing, scored against takeoffs by professional estimators on the same plans, with individual plans as high as 96%. On complete, all-trade takeoffs it also came out ahead of both. How we test ↗

Try a measured takeoff