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Every application enters the review pipeline and waits for deterministic validation and moderation.
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Artists submit their profile, music genre, location, biography, and social links for review.
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The entire review workflow is fully responsive, allowing moderation and applicant review from mobile devices.
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Moderators review applications, scores, risk levels, and AI-assisted recommendations in one dashboard.
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Rule-based validation checks profile quality, completeness, formatting, and consistency before AI review.
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The complete audit trail preserves validation results, AI analysis, moderator actions, and final decisions.
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Moderators can request changes before approval, keeping humans fully responsible for final decisions.
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After human approval, verified artists gain access to publish on the RAWSUD platform.
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RAWSUD Artist Intelligence uses deterministic rules, GPT-5.6 Luna, and human moderation to review artist applications.
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GPT-5.6 Luna adds contextual analysis while deterministic validation remains the primary decision layer.
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RAWSUD is an independent music platform where artists apply for verification before publishing content.
Overview
RAWSUD Artist Intelligence helps moderators review artist applications faster, more consistently, and with full human oversight.
RAWSUD Music is an independent music platform for artists, fans, streaming, merchandise, and editorial culture. During OpenAI Build Week 2026, RAWSUD extended its existing artist onboarding flow with Artist Intelligence: a hybrid review pipeline that combines deterministic validation rules with GPT-5.6 Luna analysis.
The system reviews artist applications and existing artist profiles, generates structured findings, produces actionable recommendations, and preserves review history. It is designed to support artists across genres, including hip hop, rock, pop, electronic music, DJs, producers, bands, crews, and other independent music scenes.
Artist Intelligence is not an automatic approval system.
OpenAI assists the review process, but the final approval, rejection, or request for changes always belongs to a human administrator.
The Problem
Manual artist reviews become slow, repetitive, and difficult to standardize as a platform grows.
Before Artist Intelligence, moderators manually inspected artist applications and repeated the same quality checks for every profile. As the number of artists increased, maintaining consistent review quality became increasingly difficult.
The Solution
RAWSUD Artist Intelligence adds a structured review workflow to the existing onboarding system.
Review workflow
Artist Submission
↓
Data Validation
↓
Deterministic Rules
↓
GPT-5.6 Luna
↓
Findings & Recommendations
↓
Human Decision
↓
Audit History
The system includes:
- Artist application review workflow
- Existing artist informational review
- Deterministic validation engine
- Versioned rule snapshots
- GPT-5.6 Luna analysis behind a feature flag
- Structured findings and recommendations
- Approve / Reject / Request Changes actions
- Review history and audit trail
- Admin and moderator review interface
- Applicant-safe correction workflow
- Responsive admin and artist interfaces
When OpenAI is disabled or unavailable, deterministic validation still generates a complete review report.
How We Used OpenAI
RAWSUD demonstrates both sides of the OpenAI ecosystem.
OpenAI development tools helped build the project, while OpenAI models power part of the product itself.
- ChatGPT supported product reasoning, architecture discussions, acceptance criteria, and documentation.
- Codex supported implementation, debugging, repository validation, documentation, and release preparation.
- GPT-5.6 Luna is integrated as an optional review layer that generates structured findings and recommendations.
The OpenAI stage is protected by feature flags and environment variables.
Artist content is treated as untrusted input.
GPT-5.6 Luna never:
- approves artists
- rejects artists
- changes user roles
- publishes profiles
- touches payments
- changes artist visibility
AI assists. Humans decide.
Real OpenAI Execution
A controlled production execution was completed for Build Week.
| Field | Value |
|---|---|
| Run | #8 |
| Target | EXISTING_ARTIST |
| QA Profile | Lunar Norte |
| State | COMPLETED |
| AI Status | AI_COMPLETED |
| Model | GPT-5.6 Luna |
| Duration | 4946 ms |
| Total Tokens | 998 |
| Prompt Tokens | 552 |
| Completion Tokens | 446 |
| Reasoning Tokens | 63 |
| Findings | 5 |
| Recommendations | 5 |
Lunar Norte was used only as the QA evidence profile.
Why GPT-5.6 Luna
GPT-5.6 Luna was selected because this workflow requires:
- structured JSON outputs
- deterministic moderation support
- latency-sensitive analysis
- cost-conscious execution
- actionable recommendations
The administrator always keeps the final decision.
How It Was Built
Artist Intelligence extends the existing artist_applications workflow instead of creating a separate system.
Implementation includes:
- Next.js frontend
- React
- Express backend
- MySQL persistence
- Deterministic rule engine
- Optional GPT-5.6 Luna review service
- Node.js automated tests
Supported review targets:
- ARTIST_APPLICATION
- EXISTING_ARTIST
Existing artist reviews are informational only and never modify artist roles, visibility, streaming, merchandise, or payment systems.
Safety & Responsible Design
The project is built around human oversight.
Safeguards include:
- Deterministic validation before AI
- Feature-flag controlled OpenAI integration
- Strict JSON validation
- Human approval authority
- Persistent audit logs
- Stored review history
- Untrusted-input handling
- No automatic publication or rejection
- No interaction with payments, royalties, merchandise or checkout
Validation
Validation performed:
- node --check backend/server.js
- node --test backend/tests/artist-review/*.test.js
- npm run lint
- npm run build
- npm audit --prefix backend --audit-level=high
Results:
- Backend syntax ✔
- Backend tests ✔ (9 passed)
- Frontend lint ✔
- Frontend build ✔
- Dependency audit reviewed ✔
The public repository contains no secrets, SQL dumps, uploads or private environment files.
What We're Proud Of
This is not a prompt wrapped inside a UI.
Artist Intelligence is integrated into an existing production architecture with:
- persisted review history
- rule snapshots
- human decision workflows
- applicant-safe status views
- deterministic fallback
- documented QA
- real GPT-5.6 Luna execution
- clean public repository
The platform owner always remains in control while OpenAI helps make moderation faster, clearer, and more consistent.
Challenges
The biggest challenge was integrating AI without creating an unsafe approval system.
OpenAI improves the review process while remaining isolated from payments, authentication, streaming, merchandise, checkout, and publication workflows.
Another challenge was making every review auditable through persisted rules, findings, recommendations, and decisions.
What's Next
Next planned improvements:
- Disposable MySQL integration testing
- Full staging validation
- Additional deterministic review rules
- Richer moderator analytics
- Continued dependency maintenance
- Expanded Artist Intelligence capabilities while preserving human approval
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for RAWSUD Artist Intelligence
Built With
- ai-assisted-moderation
- chatgpt
- codex
- express.js
- github
- gpt-5.6-luna
- human-in-the-loop-ai
- javascript
- music
- mysql
- next.js
- node.js
- openai
- react
- tailwind-css
- technology
- typescript
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