Which model is best at reading and understanding construction drawings? @Josh Turner and I just launched an AI benchmark for construction tasks. If you've not come across a benchmark, it's a way to score AI models. There's benchmarks for software engineering, legal, maths, etc. For our benchmark, we went through multiple sets of large construction drawings and created a database of questions and answers (Very time-consuming). Questions like "how many footings are in the slab" or "what are the cable tray specifications. We then scored each model based on what percentage of questions they answered correctly and the cost of the analysis. So far, we've tested 9 recent mods. GPT 5.6 won. Surprisingly, Opus 5 and 4.8 both beat Fable 5. One caveat: we tested the models via the API, so you would likely get different performance (almost certainly better results) if you used the harness (Claude Code, Codex, Cursor, etc.) We'll be running and updating this for every new model that comes out. We will also be adding more domains to our analysis - take-offs, estimating, scheduling, etc. We've got come up with some pretty interesting ways to test them. Check out the results here: https://contractoros.build/benchmarks/

I'm keen to hear who everybody is, and what their goals are I assume you already know who I am. But if you don't I'm Tim. I worked for 8 years for big contractors on road, rail, renewable energy projects. I've always worked for head-contractors. I recently worked for some smaller contractors as a consultant when I left my job doing estimating and contract management. It was good, but I found it hard to see a path to scale (other than just starting a contracting business myself) So I instead decided to build software, and found that that's 100x harder than I thought and a very easy way to lose money