We need to write a 400-500 word Dev.to article. Title includes "ai" or the topic. Must be markdown with # title, ## subheadings, paragraphs. Must be 400-500 words inclusive. Must include checklist for color grading automation, checklist for exposure automation, example setup in Aftershoot (or similar), example, framework: The 3‑Step Skin Match, How to automate it, Preset Name: “Corporate Clean V1”, Real-World Example, Skin Tone as a Grey Card, Workflow Integration with specific values: Blacks –5, Contrast +8, Exposure +0.10, Global correction neutralizes cast, Highlights -10 to retain detail, Highlights –15, Shadows +10, Skin Saturation –8. Wait there are duplicate highlights lines; maybe one is "Highlights" at -10 to retain detail and another "Highlights:" –15 (maybe for something else). We'll incorporate both.

We need to explain ONE key principle or framework clearly. Could be the "3‑Step Skin Match". Provide mini-scenario 2 sentences showing principle in action. Implementation: 3 high-level steps (not exact prompts). Conclusion: summarize key takeaways only.

We must include a specific tool name and its purpose (from facts): Aftershoot (or similar). So mention Aftershoot for AI culling and retouching.

We need to use facts from e-book: checklist for color grading automation, checklist for exposure automation, example setup in Aftershoot (or similar), example, framework: The 3‑Step Skin Match, How to automate it, Preset Name: “Corporate Clean V1”, Real-World Example, Skin Tone as a Grey Card, Workflow Integration with values.

We must not reveal exact prompts or detailed configurations. So we can mention using preset, adjusting sliders, etc.

We need to keep 400-500 words. Let's aim ~440 words.

We must not include any thinking process. Just the article.

Let's draft.

Word count: need to count. Let's write then count.

Draft:

The Pain of Manual Tweaks

Spending hours sliding exposure and color sliders on each portrait kills profitability and creative flow. Freelancers need a repeatable way to get consistent, natural‑looking results without sacrificing quality.

Core Principle: The 3‑Step Skin Match Framework

The 3‑Step Skin Match treats skin tone as a reference grey card, aligning exposure, contrast, and saturation in a single, repeatable pass. First, neutralize any color cast using a global correction that centers the skin’s hue. Second, adjust luminance—blacks, shadows, highlights, and exposure—to preserve detail while adding depth. Third, fine‑tune skin saturation to keep tones lifelike without oversaturation. By locking these three steps into a preset, every image inherits the same balanced baseline, letting AI handle the heavy lifting.

Mini‑Scenario

A photographer imports a batch of corporate headshots into Aftershoot; the AI tags the keepers, applies the “Corporate Clean V1” preset, and returns a gallery where each subject’s skin looks naturally illuminated and color‑accurate.

Implementation in Three High‑Level Steps

1. Create the Baseline Preset – In your editing software, set global correction to neutralize cast, then apply the checklist values: Blacks –5, Contrast +8, Exposure +0.10, Highlights –10 (detail), Highlights –15 (tone), Shadows +10, Skin Saturation –8. Save this as “Corporate Clean V1”.
2. Integrate with AI Culling – Upload raw files to Aftershoot, enable the AI culling model, and attach the preset to the auto‑apply rule so every selected image receives the 3‑Step Skin Match adjustments.
3. Review and Deliver – After the AI pass, spot‑check a few frames for edge cases, make any minor tweaks, then export the finished gallery directly from Aftershoot to your client delivery platform.

Checklists for Automation

Color Grading Automation

• Verify global neutral cast removal.
• Confirm skin hue aligns with grey card reference.
• Ensure skin saturation stays within –8 to –12 range.
• Check that highlights retain detail without clipping.
• Validate overall mood matches brand guide.

Exposure Automation

• Set Blacks to –5 for hair depth.
• Adjust Contrast +8 for subtle punch.
• Apply Exposure +0.10 to lift mid‑tones.
• Keep Highlights at –10 (detail) and –15 (tone) balance.
• Raise Shadows +10 to open shadows without noise.
• Confirm final histogram stays within safe limits.

Real‑World Example

A freelance portrait shooter used the “Corporate Clean V1” preset across a 150‑image corporate series. Aftershoot’s AI culled 120 keepers, applied the preset, and the photographer spent less than 15 minutes on final QC, delivering a polished gallery that matched the client’s brand colors on the first try.

Workflow Integration Summary

By treating skin tone as a grey card and locking exposure, contrast, and saturation into a repeatable preset, AI‑driven tools like Aftershoot handle the bulk of the work. The three‑step process—create preset, attach to AI culling, quick QC—cuts editing time dramatically while keeping results consistent and client‑ready.

Key Takeaways

• The 3‑Step Skin Match framework provides a reliable, repeatable baseline for exposure and color.
• Using a preset such as “Corporate Clean V1” translates the framework into one‑click AI adjustments.
• Pairing the preset with Aftershoot’s AI culling automates selection and retouching in a unified workflow.
• Checklists for color and exposure ensure each image meets quality standards without manual guesswork.
• This approach frees freelancers to focus on shooting and client relationships rather than repetitive slider tweaks.

Now count words. Let's count manually.

I'll copy text and count.

Title line: "Automating Exposure and Color Corrections: The Basics of AI Retouching for Headshots and Portraits" (maybe count later).

I'll count using approximate.

I'll write the article with line breaks.

Let's count words:

Automating Exposure and Color Corrections: The Basics of AI Retouching for Headshots and Portraits

The Pain of Manual Tweaks

Spending hours sliding exposure and color sliders on each portrait kills profitability and creative flow. Freelancers need a repeatable way to get consistent, natural‑looking results without sacrificing quality.

Core Principle: The 3‑Step Skin Match Framework

The 3‑Step Skin Match treats skin tone as a reference grey card, aligning exposure, contrast, and saturation in a single, repeatable pass. First, neutralize any color cast using a global correction that centers the skin’s hue. Second, adjust luminance—blacks, shadows, highlights, and exposure—to preserve detail while adding depth. Third, fine‑tune skin saturation to keep tones lifelike without oversaturation. By locking these three steps into a preset, every image inherits the same balanced baseline, letting AI handle the heavy lifting.

Mini‑Scenario

A photographer imports a batch of corporate headshots into Aftershoot; the AI tags the keepers, applies the “Corporate Clean V1” preset, and returns a gallery where each subject’s skin looks naturally illuminated and color‑accurate.

Implementation in Three High‑Level Steps

1. Create the Baseline Preset – In your editing software, set global correction to neutralize cast, then apply the checklist values: Blacks –5, Contrast +8, Exposure +0.10, Highlights –10 (detail), Highlights –15 (tone), Shadows +10, Skin Saturation –8. Save this as “Corporate Clean V1”.
2. Integrate with AI Culling – Upload raw files to Aftershoot, enable the AI culling model, and attach the preset to the auto‑apply rule so every selected image receives the 3‑Step Skin Match adjustments.
3. Review and Deliver – After the AI pass, spot‑check a few frames for edge cases, make any minor tweaks, then export the finished gallery directly from Aftershoot to your client delivery platform.

Checklists for Automation

Color Grading Automation

• Verify global neutral cast removal.
• Confirm skin hue aligns with grey card reference.
• Ensure skin saturation stays within –8 to –12 range.
• Check that highlights retain detail without clipping.
• Validate overall mood matches brand guide.

Exposure Automation

• Set Blacks to –5 for hair depth.
• Adjust Contrast +8 for subtle punch.
• Apply Exposure +0.10 to lift mid‑tones.
• Keep Highlights at –10 (detail) and –15 (tone) balance.
• Raise Shadows +10 to open shadows without noise.
• Confirm final histogram stays within safe limits.

Real‑World Example

A freelance portrait shooter used the “Corporate Clean V1” preset across a 150‑image corporate series. Aftershoot’s AI culled 120 keepers, applied the preset, and the photographer spent less than 15 minutes on final QC, delivering a polished gallery that matched the client’s brand colors on the first try.

Workflow Integration Summary

By treating skin tone as a grey card and locking exposure, contrast, and saturation into a repeatable preset, AI‑driven tools like Aftershoot handle the bulk of the work. The three‑step process—create preset, attach to AI culling, quick QC—cuts editing time dramatically while keeping results consistent and client‑ready.

Key Takeaways

• The 3‑Step Skin Match framework provides a reliable, repeatable baseline for exposure and color.
• Using a preset such as “Corporate Clean V1” translates the framework into one‑click AI adjustments.
• Pairing the preset with Aftershoot’s AI culling automates selection and retouching in a unified workflow.
• Checklists for color and exposure ensure each image meets quality standards without manual guesswork.
• This approach frees freelancers to focus on shooting and client relationships rather than repetitive slider tweaks.

Now count words.

I'll count using manual method: I'll count each line.

Better to copy into a counter mentally? Let's approximate.

I'll count each sentence's words.

Title line: "Automating Exposure and Color Corrections: The Basics of AI Retouching for Headshots and Portraits"

Words: Automating(1) Exposure2 and3 Color4 Corrections:5 The6 Basics7 of8 AI9 Retouching10 for11 Headshots12 and13 Portraits14. => 14 words.

The Pain of Manual Tweaks

Heading not counted? Usually headings count as words. We'll count them.

"The"1 "Pain"2 "of