AI app for creatives · no coding needed
Managed AI audio mastering and release workspace
Reduce mastering and release preparation cycles while keeping the artist's approved sound.
Made for: Independent musicians, producers and small labels releasing tracks without a mastering engineer
What it does for you
The problem
Tracks are mastered in one rented tool, stored in another, and release copy is written in a third, so versions, loudness targets and approvals scatter across subscriptions.
What it gives you
Artist-approved master and release package
What you give it
Licensed audio filesreference tracksloudness targetsrelease copy
Build your own version of Tracksy, eMastered and more
One app with what these 3 AI tools do, yours to keep and change: Tracksy, eMastered, DIKTATORIAL Suite.
Everything these tools do, in one app
- AI-Powered Mastering Analyzes the track and applies professional studio processes like EQ, compression, and saturation to achieve a louder, crisper sound.Found in Tracksy, eMastered
- Reference Mastering Allows uploading a reference file alongside your track so the engine can mirror sonic qualities such as loudness, balance, and compression.Found in Tracksy
- Advanced Mastering Options Provides manual control over various parameters for personalized fine-tuning of the final sound.Found in Tracksy
- Intelligent Equalization Refines tracks using intelligent equalization to achieve a polished finish.Found in eMastered
- Dynamic Range Compression Applies dynamic range compression to control the track's dynamics.Found in eMastered
- Loudness Normalization Normalizes loudness to achieve consistent volume levels.Found in eMastered
- Customizable Sound Profile Allows users to customize their sound profile effortlessly.Found in eMastered
- Intuitive Interface Simplifies the mastering process, making it accessible for both seasoned audio engineers and novice creators.Found in eMastered
- Supports Various Audio Formats Ensures compatibility with diverse workflows by supporting various audio formats.Found in eMastered
- Machine Learning Adaptation Continuously learns from user preferences and industry standards to deliver tailored mastering solutions that evolve with your needs.Found in eMastered
- Cloud Storage and Shareable Library Provides built-in cloud storage and a customizable shareable page to back up tracks and showcase work to fans.Found in Tracksy
- Track Statistics Gain insights into listener engagement with detailed statistics to understand the reach and impact of your music.Found in Tracksy
- AI-Driven Content Generation Generates articles, blogs, and social media posts using AI.Found in DIKTATORIAL Suite
- Advanced Editing Tools Includes grammar and style suggestions for editing content.Found in DIKTATORIAL Suite
- Multi-Language Support Supports multiple languages to cater to diverse audiences.Found in DIKTATORIAL Suite
- Content Organization and Project Management Provides features for organizing content and managing projects.Found in DIKTATORIAL Suite
- Integration with Publishing Platforms Offers integration options with popular publishing platforms and CMS.Found in DIKTATORIAL Suite
How it works, step by step
- Ingest tracks and reference files in common audio formats
- Analyze the track and apply EQ, compression and saturation
- Mirror loudness, balance and compression from a reference file
- Expose manual parameter control for fine-tuning
- Apply intelligent equalization to refine the finish
- Control dynamics with dynamic range compression
- Normalize loudness to consistent levels
- Save a customizable sound profile per artist or release
- Adapt settings from user preferences and approved past masters
- Store masters in a cloud library with a shareable page
- Report listener engagement statistics per track
- Draft release articles, blogs and social posts
- Suggest grammar and style edits on release copy
- Support multiple languages for release copy
- Organize projects and content in one workspace
- Export to publishing platforms and CMS
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before release
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Managed AI audio mastering and release workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Managed AI audio mastering and release workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare28 KB
- prompt-vps.mdThe same build on your own server (Docker)28 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria15 KB
- demo/index.htmlThe working demo on sample data192 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce mastering and release preparation cycles while keeping the artist's approved sound. For independent musicians, producers and small labels releasing tracks without a mastering engineer, convert licensed audio files, reference tracks, loudness targets and release copy into an artist-approved master and release package. The benefit is a testable hypothesis, measured through accepted masters per production hour and corrections after release approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed audio files, reference tracks, loudness targets and release copy, then follow this sequence: 1. Ingest tracks and reference files in common audio formats. 2. Analyze the track and apply EQ, compression and saturation. 3. Mirror loudness, balance and compression from a reference file. 4. Expose manual parameter control for fine-tuning. 5. Apply intelligent equalization to refine the finish. 6. Control dynamics with dynamic range compression. 7. Normalize loudness to consistent levels. 8. Save a customizable sound profile per artist or release. 9. Adapt settings from user preferences and approved past masters. 10. Store masters in a cloud library with a shareable page. 11. Report listener engagement statistics per track. 12. Draft release articles, blogs and social posts. 13. Suggest grammar and style edits on release copy. 14. Support multiple languages for release copy. 15. Organize projects and content in one workspace. 16. Export to publishing platforms and CMS. Resolve uncertain cases with qualified reviewers, approve artist-approved master and release package, and measure accepted masters per production hour and corrections after release approval against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed loudness target and licensed reference set; final artistic and mastering checks remain with the artist or engineer. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve artist voice, source attribution, rights accuracy and usage permissions. Artists approve substantive changes and release scope. One fixed loudness target and licensed reference set; final artistic and mastering checks remain with the artist or engineer. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed loudness target and licensed reference set; final artistic and mastering checks remain with the artist or engineer. Implement one approved input format, a bounded representative case set and the first two task modules: ingest tracks and reference files in common audio formats; analyze the track and apply EQ, compression and saturation. Support the third module with operator review: mirror loudness, balance and compression from a reference file. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Artist-owned audio files, authorized reference tracks and permitted release copy sources. Cloud asset storage, audio-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Track and reference intake, Editable mastering preview, Artist approval and release package. Use a thumbnail gallery for projects, a large central waveform and loudness canvas, and a right-hand panel for references, targets and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant track section. Make the task-specific outcome artist-approved master and release package visible beside its evidence, review state and value baseline.
