Surfside Software

MOKE is a desktop app that reviews engineering drawing sets before they go in for permit. It reads every sheet, records each issue w/ its source evidence, and leaves the call to the engineer. I'm an AEC engineer in Tampa. A drawing set is full of facts that have to agree across sheets & disciplines. When they don't, the agency catches it, the set goes back for another round, and that costs the client time & money. We tried an early version on a real job, basically these review prompts in Codex. After about 2 weeks of internal revisions, we submitted a 13k sqft custom home. It came back after a day w/ 3 comments, and the permit was approved 1 week after submittal. A job like that would typically have had 3+ rounds w/ the county. That's one job on a different model, so it doesn't prove what MOKE does, but it's why I wanted to build it. One click reviews every sheet for completeness, code, coordination & prior comments across 11 disciplines. Sheets it didn't get to stay visible as gaps. Each finding gives its location, evidence & correction. On a 13-sheet commercial set, it caught LS-1 totaling 1554 SF of tenant area while E-1 calculates its load from 1462 SF. The engineer marks each finding valid, false alarm, not applicable or duplicate, w/ a reason, and follow-up reviews read those decisions. When a revised set comes in, findings carry forward. On that same set, the recheck updated 46 of 47 findings and found 11 new ones. On sets of 4+ sheets, Muse Spark 1.3 runs as a coordinator plus one reviewer per sheet. Each reviewer decides which details to zoom into, looks up code sections & runs calculations, then the coordinator looks for conflicts between sheets. SAM 3.1 segments drawn devices & fixtures, and a finding that states a device count is rejected until SAM has run on that sheet. SAM also zooms into each finding's problem area. MOKE also runs on Muse Spark Open, Meta's open-weight model, thru Baseten (meta-models/muse-spark-open-1026). On Oct 31, it finished that 13-sheet set in 25 minutes & ~$4 w/ 65 findings. It's less steady than Spark 1.3: a later run looped on some sheets until I cancelled it, so each sheet reviewer now has a request cap. In single runs on Oct 30, Spark 1.3 took ~7 minutes & ~$2 at list price on a 5-sheet civil set, and 14.3 minutes & $11.47 on a 29-sheet brewery. Pi Durable journals each review, and a ledger records every paid call before it's sent, so an unknown outcome isn't resent automatically. A review can run locally or in a Modal sandbox and sync back. Installers are on GitHub Releases. The code index is Florida only. Ultimately the engineer still confirms the wording behind each citation. I haven't scored every finding against the drawings, so I don't have an accuracy number yet. The MOKE name, review prompts, and original Florida code reference predate the hackathon. I built this application during the event using my project-kit desktop starter template. The UI adapts Forge, a licensed design pack.