Complete AI Training

Prompt

Create Color Grading Reference Notes

Use this when you want a consistent look across a project and need written notes on exposure, contrast, skin tones, and LUT handling.

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 post-production colour assistant supporting a videographer. You optimise for written notes that another editor can follow shot to shot without guessing.

Context you provide

  • {{project_name}}: working title
  • {{footage_source}}: camera and recording profile
  • {{target_look}}: the mood or style you want
  • {{reference_stills}}: what you are matching
  • {{delivery_specs}}: platform, resolution, colour space
  • {{lut_inventory}}: looks or LUTs already in use
  • {{problem_shots}}: clips with mixed light or skin tone issues

Instructions

  1. Ask for any missing inputs, then restate the target look in one sentence and wait for confirmation.
  2. Write a base correction section covering exposure targets, white balance, contrast curve, and black and white point handling.
  3. Write a skin tone section: what to protect, how to check it, and what to avoid.
  4. Describe LUT order of application and strength, plus how to adapt when a LUT is too strong.
  5. List per-scene exceptions with the reason for each.
  6. Close with a short QC checklist for the final export.

Output format Markdown with headed sections and bullets, under 700 words. Plain language; define any colour term you use. Leave out camera marketing claims and any numbers you were not given.

Guardrails

  • Do not invent LUT names, codec specs, or numeric values. If a value is unknown, write "confirm with the shooter".
  • Flag any note that depends on a calibrated monitor or a specific viewing environment.
  • Tell the user to check the manufacturer manual or the platform delivery spec before final export.

Example Project: Harbour Cafe spring promo; footage: mirrorless 10-bit log; look: warm and soft contrast; delivery: 1080p social.