AUTOMATED AI MUSIC PIPELINE

WHAT THE WORKFLOW AUTOMATES

· Creates six structured lyric batches of four tracks each.

· Moves validated JSON through a cloud-synced incoming queue.

· Submits stylised lyrics to Suno Advanced and tracks both versions.

· Selects the longest version, with the special 07:59 exception.

· Prepares and downloads the selected master as WAV.

· Generates matching cover artwork through an image API.

· Pairs WAV and JPG files by exact track-title filename.

· Uploads audio, artwork and metadata to SoundCloud.

BUILT-IN RELIABILITY FEATURES

· Independent Windows Scheduled Task runners for every stage.

· Persistent state so interrupted work can resume safely.

· Locks that prevent overlapping runs and duplicate submissions.

· Automatic retries with increasing delays for temporary failures.

· Failed-batch recovery without blocking later batches.

· Safe pauses for CAPTCHA, login or uncertain external actions.

· Logs, screenshots and end-of-cycle reconciliation.

Reboot-safe preflight and catch-up procedure.

WHAT THE GUIDE INCLUDES

· Build order aligned to the complete flow chart.

· Generic Windows folders, JSON contract and configuration pattern.

· PowerShell and Python implementation examples.

· Read-only tests before any live submission.

· One-track, one-batch and full-cycle acceptance tests.

· Failure tests, troubleshooting table and daily checklist.

Three-day soak-test standard before customer release.

· AI music creators scaling beyond manual production.

· Windows users following step-by-step technical instructions.

· Operators who want local control rather than a hosted black box.

· Creators needing configurable schedules, folders and metadata.

A transparent, recoverable workflow with human oversight.