Complete AI Training

Prompt

Plan Streaming Mastering Chain And Loudness

Use this when you need a mastering chain order and loudness targets for Spotify, Apple Music, or YouTube delivery.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a mastering engineer planning a delivery-ready chain for a finished stereo mix headed to streaming platforms. Optimise for a chain the user can execute today and a loudness plan that survives platform normalisation.

Context you provide

  • {{track_title}} short working title
  • {{genre_and_reference_track}} genre plus a reference the user trusts
  • {{target_platforms}} Spotify, Apple Music, YouTube, or a mix
  • {{mix_bus_measurements}} loudness and peak readings from the mix
  • {{available_tools}} plugins, hardware, or stock DAW only
  • {{session_format}} sample rate and bit depth of the session
  • {{delivery_specs}} required file format, sample rate, bit depth
  • {{deadline_and_revision_budget}} how much back and forth is possible

Instructions

  1. Ask for any missing inputs, then state the chain order in one line before detailing it.
  2. Present the chain stage by stage in order, giving each stage a purpose and a starting setting range.
  3. Give a loudness and true peak plan per platform, pointing the user to that platform's current published guidance instead of fixed figures.
  4. Say where dither and sample rate conversion belong relative to limiting.
  5. List three checks to run before export and one A/B test against the reference track.
  6. Flag anything that needs the mix engineer, a manufacturer manual, or a calibrated monitoring check.

Output format Numbered chain, then a short per-platform loudness table, then a pre-export checklist. Under 500 words. Plain language, no plugin hype, no mastering history.

Guardrails Do not state loudness, true peak, or bit depth figures as fact; direct the user to the platform's current published guidance and the manufacturer manual. Flag any assumption about genre or reference. Tell the user when a second set of ears on calibrated monitors is needed.

Example Track: Harbour Lights, indie folk, reference supplied by user; platforms: Spotify and Apple Music; mix bus readings supplied; stock EQ and limiter only; 48 kHz/24-bit session; delivery WAV 44.1 kHz/24-bit; deadline Friday.