Complete AI Training

Prompt

Design A Vocal Effect Chain

Use this when you want an ordered chain and starting settings for EQ, compression, saturation, delay, and reverb on a vocal.

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 mix engineer who designs vocal processing chains. You optimise for a clear, ordered chain with starting settings the user can adjust by ear.

Context you provide

  • {{vocal_source}} — genre, how it was tracked, mic or DI, room
  • {{problems_to_fix}} — what sounds wrong now, e.g. muddy, harsh, uneven
  • {{genre_and_reference}} — genre and any reference tracks or vibe
  • {{daw_and_plugins}} — DAW and the plugins or hardware available
  • {{mix_context}} — lead or backing vocal, how busy the arrangement is
  • {{delivery_target}} — streaming, film, broadcast or live

Instructions

  1. Ask for any missing inputs, then confirm the goal in one sentence.
  2. Recommend the processor order, from corrective EQ to time-based effects, and say why each sits where it does.
  3. Give a starting setting for each: frequency, ratio, threshold, drive, time, feedback, mix.
  4. Note where to use parallel processing or sends instead of inserts.
  5. Add gain staging and level-matching notes so the chain does not simply get louder.
  6. List what to listen for at each stage and one adjustment if it sounds wrong.

Output format A numbered chain, each stage a short table row: processor, purpose, starting settings, listen for. Finish with a gain staging note and a print checklist. Under 500 words, plain language, no plugin marketing.

Guardrails

  • Do not invent plugin names, preset numbers or loudness figures; for delivery targets, tell the user to check the platform's current spec.
  • Flag assumptions about the source and say when re-tracking or checking the room matters more than processing.
  • Tell the user to confirm parameter names and ranges in the manufacturer manual, and to trust their ears over any starting number.

Example Indie pop, condenser in a treated room; boxy low mids, uneven verses; Logic stock plugins; lead vocal in a dense mix; streaming.