The Pipeline

One pipeline. Crate to finished product.

Co-Produce AI is a chain of composable steps that turns a raw sample library into a model that sounds like you — then into shippable, rights-traced packs and songs. Run the whole chain, or any single step.

01 · Prepare & Analyze

Understand every sound

  1. Organize a messy library into tagged folders
  2. Strip vocals (BS-RoFormer) for clean instrumentals
  3. Deep Listen: BPM, key, LUFS, sound events, vibe
  4. Auto-tag mood in open language; enrich with Genius
  5. Fuse it all into one canonical training caption
02 · Train & Generate

A model that sounds like you

  1. Validate the dataset before you spend a cent
  2. Fine-tune a Stable Audio 3 LoRA (~$1–2)
  3. Generate one-shots, loops, and packs from a plan
  4. One LoRA per subgenre — stack for hybrids
03 · Create & Remix

Flip, remix, and build

  1. Audio-to-audio: flip any sound by a prompt
  2. Remix across hip-hop / metal / dubstep / DnB
  3. Beat builder: beats from your own samples + MIDI
  4. Render through your real VST3 instruments & FX
04 · Finish & Ship

Release-ready, rights-traced

  1. Post-process: trim, normalize, 24-bit, reject duds
  2. Package a sellable pack with names + license
  3. Write a provenance certificate (sources + hashes)
  4. Full songs with vocals; lyrics in your voice
What makes it different: hosted tools hand everyone the same model. Co-Produce AI trains a private model on your sounds, runs on infrastructure you control, and ships a provenance certificate tracing every output back to cleared training data — ownership end to end.

Genre depth & the Creative Techniques Lab

Beyond the core chain: techniques the AI-beat crowd isn't doing — built on the loops between the tools.

Taste distillation Micro-variants Groove DNA Flip lineage Destroy & heal Two-producer packs Push as an instrument AI session musician Ecosystem packs