# Vicentekk

- **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:** [Vicent Andujar](https://cerebralvalley.ai/u/Vicentekk)
- **GitHub:** https://github.com/vicentektek/showcompiler-hackathon-2026
- **Demo video:** https://youtu.be/E11a04OCi2Y
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2236

RUNQ — From Script to Stage

RUNQ is an AI-assisted show production workspace that transforms theatrical scripts into structured sound cues, supports intelligent voice-following rehearsals, and gives operators precise control of live audio.

In theatre and live production, transforming a script into a working technical show requires hours of preparation: identifying sound requirements, creating cues, assigning media, coordinating timing, and continuously adapting to changes during rehearsal.

RUNQ brings this entire workflow into one application.

AI-Powered Script Intelligence

Using Meta Muse Spark 1.3, RUNQ analyzes theatrical context and proposes sound cues linked to exact lines in the original script. Operators can review, approve, reject, and modify these suggestions, including through a contextual natural-language AI assistant.

Intelligent Voice-Following Rehearsal

One of RUNQ's key innovations is its ability to listen to actors during rehearsal and follow their position in the script.

Through speech transcription and script matching, RUNQ can identify predefined dialogue cues and automatically trigger the corresponding sound effects when the operator enables Auto GO.

The rehearsal system is designed to handle the non-linear nature of real rehearsals: repeated dialogue, returning to earlier passages, and skipping forward. Its cue-following logic can reposition within the script rather than assuming every performance follows a perfectly linear sequence.

This enables performers and technicians to rehearse scenes without manually triggering every sound effect. Automatic operation requires explicit arming, and the operator can always regain manual control.

Professional Sound Cue Management

RUNQ includes audio import, cue editing, waveforms, fades, loops, overlapping playback, individual STOP controls, a dedicated live operation interface, and portable show packages.

Human-Controlled Live Operation

Unlike systems that place AI in the execution loop, RUNQ separates intelligent preparation and rehearsal assistance from deterministic live playback. Generative AI never directly controls the live show.

Built by a solo developer with professional experience in live-event sound engineering, RUNQ addresses real production challenges using firsthand domain knowledge.

The working prototype includes English and Spanish interfaces, Meta Model API integration, and a reproducible public repository with 843 previously passing offline tests.

RUNQ: AI helps prepare the show. The operator runs it.

## More from Meta Global AI Developer Hackathon

- [GLPfit](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2233)
- [MobyDIGG](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2234)
- [AgentFront](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2235)
- [AugentFlow](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2237)
- [Phantom Labs](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2238)
- [In Character](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2239)

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