# TraceLoop

- **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:** [douglas paredes guerra](https://cerebralvalley.ai/u/anomaliz)
- **GitHub:** https://github.com/douglasparedes/traceLoop
- **Demo video:** https://youtu.be/VZvLOowOU9A
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3504

TraceLoop — Turning Human Expertise into Knowledge That Never Gets Lost

When experienced employees leave a company, years of valuable practical knowledge often leave with them. Traditional procedures are frequently incomplete, outdated, or never documented, making it difficult to train new employees, maintain consistency, and preserve operational expertise.

TraceLoop solves this problem by transforming real-world task recordings into interactive, verifiable, and reusable procedures using Meta AI.

Imagine an experienced technician assembling a machine component. Instead of spending hours writing documentation, they simply record themselves performing the task and explain what they're doing.

Using Meta's multimodal AI models—Muse Spark, Muse Voice, SAM 3.1, and Muse Image—TraceLoop can analyze the recording, interpret actions and spoken instructions, identify relevant objects, and generate structured, visual work instructions.

But TraceLoop goes beyond AI-generated documentation.

Experts can refine and approve procedures, employees can follow interactive instructions even without an internet connection, and feedback from real work can generate improvements for future versions.

The result is a continuous knowledge-transfer system that helps organizations:

- Preserve critical expertise when employees leave or retire.
- Accelerate onboarding and practical training.
- Standardize procedures across teams and locations.
- Make operational knowledge accessible in the field.
- Continuously improve instructions through real-world feedback.

Our vision is simple: a company's most valuable knowledge should belong to the organization, not disappear when an individual leaves.

TraceLoop makes practical expertise easier to capture, share, retain, and improve.

Capture expertise. Keep it working.

## More from Meta Global AI Developer Hackathon

- [Agentic Appetite Adventurers](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3501)
- [monofilm](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3502)
- [Strativu](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3503)
- [Snap Part](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3505)
- [FactLens AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3506)
- [Trace](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3507)

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