# ShopFloor AI

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Shaahid Ahmed Nadeem](https://cerebralvalley.ai/u/shaahidndsm)
- **GitHub:** https://github.com/shaahid-ahmed/shopfloor-ai
- **Demo video:** https://youtu.be/2IkzslVloJI
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4382

ShopFloor AI takes a customer's drawing to a quote, verified CNC G-code and an operator setup sheet, run by a team of AI agents on Meta's Muse Spark and SAM 3.1, with a person approving the money and the machine moves.

THE PROBLEM
Small waterjet and laser job shops still do every step by hand: read the drawing, check whether it can be cut, price it, reply to the customer, program the machine and brief the operator. In my earlier PathForge work (DXF to G-code, validated on 250+ drawings), programming alone took engineers about 50 minutes per part. The bigger cost is everything around it: quoting, back-and-forth questions, and scrap from mistakes.

WHAT IT DOES
- Drawing Reader: reads DXFs, PDFs and photos. Muse Spark vision reads dimensions and SAM 3.1 traces outlines. Missing information becomes a question for a person, never a guess.
- Manufacturability: checks holes, slots, edge clearances and thin sections against the shop's rules and suggests fixes.
- Estimator: prices from cut length, pierces, machine time and material, and drafts the quote email. A guard rejects any number that is not in the quote.
- CAM Programmer + Verifier: the CAM agent chooses settings, and deterministic tools generate the G-code. An independent Verifier runs 11 checks (bed limits, feeds, holes before outer profile, lead-ins in scrap, no rapids over cut parts) and sends failures back for another attempt.
- Offcut Planner: photograph a leftover sheet and enter one width. It fits parts into the real outline and re-quotes with no material cost for those parts.
- Shop Knowledge: answers staff questions only from shop settings and uploaded manuals, with citations.
A person approves the quote and releases the program. Routing is deterministic code, so no model can skip the Verifier or an approval.

HOW I BUILT IT
- Python and FastAPI run a state machine with human approval gates.
- Agents call tools through a typed registry with per-agent allow-lists.
- Tools handle DXF parsing with automatic curve tolerance, nesting, kerf compensation and the post-processor.
- A fallback chain (Meta API, then a backup endpoint, then rule-based answers) keeps jobs moving.
- Shop settings are editable in the app. It runs in Docker on Render.

RESULTS (real Meta API)
- 20/20 jobs end to end, median 27.7 s
- 54/54 planted G-code errors caught
- 10/10 planted design problems flagged
- 10/10 invented numbers blocked from quote emails
- 3/3 vision cases

CHALLENGES
Keeping models away from numbers and toolpaths: the model chooses and explains, while code computes and verifies. I also fixed a Verifier bug that compared cuts across sheets, and fitted parts into odd-shaped leftovers.

WHAT'S NEXT
Pilot with a real shop's machine and speed tables, better nesting, and a customer-messages agent.

LIMITS
Shop settings are sample values; programs are verified in simulation, not yet run on a machine.

## More from Meta Global AI Developer Hackathon

- [Meistro](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4379)
- [BioFrontier](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4380)
- [Edilma Riano](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4381)
- [ARK 305 APP](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4383)
- [Tabrez Sait](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4384)
- [Team Haske](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4385)

---

Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/4382. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt