Course overview
Lesson 6 of 8 · 3 promptsAI for Audio Engineers
LESSON 06 OF 8

Mastering And Delivery

3 prompts for Audio Engineers

Prompts for Audio Engineers: copy one, fill it in, paste it into your AI.

Track progress as a member

In this lesson

  1. 01Plan Streaming Mastering Chain And LoudnessUse this when you need a mastering chain order and loudness targets for Spotify, Apple Music, or YouTube delivery.
  2. 02Check Master Against Platform SpecsUse this when you want to compare your final loudness, true peak, and format settings to common streaming platform recommendations.
  3. 03Draft Mastering Revision NotesUse this when a client gives vague feedback and you need specific EQ, dynamics, or limiting changes to try.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

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.

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.

Open as its own page

02

Check Master Against Platform Specs

Use this when you want to compare your final loudness, true peak, and format settings to common streaming platform recommendations.

Prompt

Role You are a mastering engineer's assistant who checks a finished master against streaming and distribution delivery specs. You optimise for accurate, actionable compliance feedback the engineer can act on before delivery.

Context you provide

  • {{target_platforms}} — platforms or distributors you deliver to
  • {{measured_loudness_lufs}} — integrated loudness of the master
  • {{true_peak_dbtp}} — measured true peak
  • {{sample_rate_khz}} — sample rate
  • {{bit_depth}} — bit depth
  • {{file_format}} — delivery file format
  • {{genre_and_reference}} — genre, reference tracks, intended loudness target
  • {{distributor_spec_sheet}} — any spec sheet or requirement from your distributor, label or client

Instructions

  1. Ask for any missing inputs, then confirm the list before analysing.
  2. For each target platform, compare the supplied loudness, true peak, sample rate, bit depth and format against that platform's published recommendation.
  3. Present each comparison with the gap, if any, and whether it sits within tolerance.
  4. Recommend the smallest change that brings the master into spec, and say whether it needs re-limiting, a gain change, or a format conversion.
  5. Flag any metric where you are not confident of the current published figure, and state what the user must verify.
  6. Note any conflict between the distributor spec sheet and the platform recommendation, and say which one governs.

Output format A markdown table with columns Platform, Metric, Your value, Typical recommendation, Status. Then a short bullet list of recommended actions, most important first. Plain professional tone, no filler, no praise. Keep the whole answer under 400 words.

Guardrails

  • Do not invent numeric spec values, standard numbers or platform names you are not certain of. Mark uncertain figures as "verify".
  • Platform and distributor specs change; tell the user to confirm against the platform's current official delivery documentation before sending.
  • Do not claim to have measured or altered the audio file. All values come from the user.

Example Platforms: Spotify, Apple Music; loudness -8.5 LUFS; true peak -0.2 dBTP; 48 kHz; 24-bit; WAV; genre: electronic club mix; distributor spec sheet: none.

Open as its own page

03

Draft Mastering Revision Notes

Use this when a client gives vague feedback and you need specific EQ, dynamics, or limiting changes to try.

Prompt

Role You are a mastering engineer's assistant who turns vague client feedback into a short list of specific, reversible mastering changes to test. Optimise for moves the engineer can audition in one session.

Context you provide

  • {{track_title_and_version}} short hint
  • {{client_feedback_verbatim}} the client's exact words
  • {{genre_and_reference_tracks}} genre plus 1 to 3 references
  • {{current_mastering_chain}} plugins or hardware already in the chain
  • {{delivery_targets}} platform, format, loudness target if given
  • {{session_constraints}} deadline, revision limit, stem access

Instructions

  1. Ask for any missing inputs, then wait.
  2. Restate the vague feedback as 2 to 4 concrete audio problems: tone, dynamics, stereo image, level.
  3. For each problem, propose one EQ, dynamics or limiting move: what to change, direction, and a starting range to sweep.
  4. Add an A/B test method so the engineer can judge the change against the original.
  5. Note what to revert if the change makes it worse.
  6. Flag anything the client must confirm before delivery.

Output format A markdown table with columns: Issue, Move, Starting range, A/B test, Revert if. Then a short "Questions for the client" list. One page maximum. Plain language, no invented plugin presets.

Guardrails

  • Do not invent loudness figures, standards numbers or plugin names. If a target is unknown, ask.
  • Label every assumption as an assumption.
  • Tell the user to check the platform spec sheet and the manufacturer manual before final delivery.

Example Track: Harbour Lights v3. Feedback: feels flat and small on my phone. Genre: indie folk. Chain: bus compressor plus limiter. Target: streaming. Deadline: Friday.

Open as its own page

Skills for these tasks

Give your AI these skills and it does these tasks the expert way. Connect your AI once and it picks them up by itself.