index

Contact

Begin

↗

back

blog

"This Looks AI"

The Lazy Critique That Wastes Everyone's Time and How to Move Past It

by:

Justin Morissette

Read time:

2 to 3 minutes

Index:

1. "THIS LOOKS LIKE AI" IS NOT FEEDBACK. IT'S A CONFESSION

If you've spent more than a week in commercial AI visual production, you've heard it. A client squints at a meticulously crafted asset. One that passed through competitor analysis, concept development, structured generation, manual refinement, color grading, and brand alignment checks. And they deliver their entire creative critique in four words: "This looks like AI."

​

No specifics. No reference to lighting, composition, narrative, or brand fit. No indication of whether the problem is the hand anatomy, the material realism, the emotional tone, or the conceptual direction. Just a vague discomfort masquerading as expertise.

This comment reveals three things about the person making it. They lack the vocabulary to articulate visual problems. They haven't developed the analytical skills to diagnose what separates commercial-grade work from amateur output. And they are outsourcing their creative uncertainty onto a buzzword. "Looks like AI" has become shorthand for "I don't like it but I don't know why, and I need to sound informed."

​

The damage is real. Non-constructive feedback doesn't just waste time. It erodes trust. It extends timelines. It forces creators into endless directionless revision cycles. A professional art director might say: "The skin subsurface scattering feels too uniform. We need more variation in the specular highlights to match our beauty campaign reference." That takes thirty seconds to say and gives the team a precise target. "This looks like AI" takes three seconds, requires a two-hour meeting to unpack, and often leads to changes that don't actually solve anything because the underlying concern was never identified.

2. WHAT TO SAY BACK: A RESPONSE FRAMEWORK

When someone says "this looks like AI," your response should accomplish three things. Reframe the critique from tool-based to symptom-based. Educate briefly without being condescending. And redirect toward actionable business-aligned feedback.

Step 1: Acknowledge without agreeing

"I hear that something in the image isn't landing for you. Let's identify exactly what that is so we can fix it precisely rather than guessing."

​

This validates their feeling without validating their framing. It moves the conversation from vague discomfort to specific diagnosis.

Step 2: Explain the technical irrelevance

"Just so we're aligned on process: the model builds from real photographic data. Every texture, light behavior, and material property in this image comes from actual photos. So if something looks off, it's not because it's 'AI.' It's because a specific visual element needs adjustment, the same way it would in a traditional photo shoot or composite. The fix is the same too."

​

This gently dismantles the "AI = fake" bias. It establishes that the critique should target symptoms, not source.

Step 3: Offer diagnostic categories

"To help me direct the revision accurately, which of these areas is standing out to you?"

​

  • Technical realism: anatomy accuracy, material behavior, physics consistency
  • Aesthetic direction: color harmony, mood, style alignment with our brand
  • Strategic fit: message clarity, audience resonance, competitive positioning
  • Composition: focal hierarchy, negative space, conversion architecture

​

This forces them to choose a lane. Most people will pick one, and suddenly you have a real conversation.

3. A PRACTICAL GUIDE: HOW TO GIVE AND GET USEFUL FEEDBACK ON AI-GENERATED COMMERCIAL ASSETS

If you find yourself wanting to say "this looks like AI," stop. Ask these questions instead. If you're on the receiving end of the comment, redirect the conversation using this framework.

QUESTIONS TO ASK BEFORE CRITIQUING

  1. What is the business objective this asset needs to serve?Is it conversion, brand awareness, education, emotional resonance? The criteria for a hero banner and a technical product spec sheet are completely different.
  2. Does the image communicate the right emotional promise?Luxury feels different from accessibility. Aspirational feels different from relatable. What feeling should the viewer have in the first three seconds?
  3. Where will this asset live, and at what scale? A thumbnail on a mobile feed has different compositional needs than a full-bleed desktop header. Context changes everything.
  4. What is the reference standard? "I don't like it" is useless. "It doesn't match the lighting direction of our Q3 campaign" is actionable. Point to specific references.
  5. Is the problem technical, aesthetic, or strategic?Technical: anatomy errors, impossible physics, resolution issues.Aesthetic: color harmony, visual weight, style consistency.Strategic: wrong message, wrong audience fit, wrong competitive positioning.

THINGS TO ACTUALLY LOOK FOR

  • Focal hierarchy: Does your eye know exactly where to land first, second, third? Or is it fighting for attention?
  • Light logic: Do the highlights and shadows come from the same direction? Does the quality of light match the mood? Soft for beauty. Hard for drama.
  • Material truth: Does metal look like metal? Does skin have subsurface depth? Do fabrics have weight and texture?
  • Brand DNA: Would this image sit comfortably next to your last three campaigns? Would a customer recognize it as yours without seeing the logo?
  • Conversion architecture: Is there negative space for copy? Does the composition leave room for a CTA button? Is the subject positioned where heat-mapping says eyes actually go?
  • Cultural and market fit: Does this resonate with the specific demographic you're targeting, or is it generic stock image energy?

4. HOW TO RESPOND WHEN SOMEONE SAYS "THIS LOOKS LIKE AI"

Don't get defensive. The comment usually comes from insecurity, not malice. They sense something is off but lack the tools to express it.Ask diagnostic questions: "I want to make sure we fix the right thing. Are you seeing an issue with the lighting direction, the material realism, the emotional tone, or the composition relative to our brand guidelines?"

Offer controlled options: "Here are three directions we can explore. A. pushes toward hyper-realism with more photographic imperfection. B. leans into a more stylized brand language. C. adjusts the focal point to prioritize the product over the environment.Which aligns with your campaign objective?" Document the real feedback: After the conversation, summarize in writing. "Per discussion, the concern is that the skin texture appears too smooth for an authentic beauty positioning. We will add subtle pore detail and adjust the specular map. This addresses the visual concern through specific technical refinement." This trains the client to be more precise next time.Know when to walk away: Some clients will never develop the analytical skills to give useful feedback, and the cost of educating them exceeds the project value. Professional AI production requires professional clients. Not everyone is ready for that relationship yet.

5. THE BOTTOM LINE

"This looks like AI" is the new "make it pop." It is a placeholder for thought, and in a field where the technology is evolving weekly, thought is the only thing that separates commercial-grade work from hobbyist output.

The clients who learn to articulate specific, strategic, business-aligned feedback will get better assets, faster turnarounds, and stronger campaign performance. The ones who don't will keep cycling through revisions, wondering why their AI never looks as good as their competitor's, unaware that the difference was never the model. It was the conversation.

J

U

J

U

M

O

O

M

justin.mrst@gmail.com

Justin Morissette 2026

index

Contact

Begin course

↗

back

blog

"This Looks AI"

The Lazy Critique That Wastes Everyone's Time and How to Move Past It

by:

Justin Morissette

Read time:

2 to 3 minutes

Index:

1. "THIS LOOKS LIKE AI" IS NOT FEEDBACK. IT'S A CONFESSION

If you've spent more than a week in commercial AI visual production, you've heard it. A client squints at a meticulously crafted asset. One that passed through competitor analysis, concept development, structured generation, manual refinement, color grading, and brand alignment checks. And they deliver their entire creative critique in four words: "This looks like AI."

​

No specifics. No reference to lighting, composition, narrative, or brand fit. No indication of whether the problem is the hand anatomy, the material realism, the emotional tone, or the conceptual direction. Just a vague discomfort masquerading as expertise.

This comment reveals three things about the person making it. They lack the vocabulary to articulate visual problems. They haven't developed the analytical skills to diagnose what separates commercial-grade work from amateur output. And they are outsourcing their creative uncertainty onto a buzzword. "Looks like AI" has become shorthand for "I don't like it but I don't know why, and I need to sound informed."

​

The damage is real. Non-constructive feedback doesn't just waste time. It erodes trust. It extends timelines. It forces creators into endless directionless revision cycles. A professional art director might say: "The skin subsurface scattering feels too uniform. We need more variation in the specular highlights to match our beauty campaign reference." That takes thirty seconds to say and gives the team a precise target. "This looks like AI" takes three seconds, requires a two-hour meeting to unpack, and often leads to changes that don't actually solve anything because the underlying concern was never identified.

2. WHAT TO SAY BACK: A RESPONSE FRAMEWORK

When someone says "this looks like AI," your response should accomplish three things. Reframe the critique from tool-based to symptom-based. Educate briefly without being condescending. And redirect toward actionable business-aligned feedback.

Step 1: Acknowledge without agreeing

"I hear that something in the image isn't landing for you. Let's identify exactly what that is so we can fix it precisely rather than guessing."

​

This validates their feeling without validating their framing. It moves the conversation from vague discomfort to specific diagnosis.

Step 2: Explain the technical irrelevance

"Just so we're aligned on process: the model builds from real photographic data. Every texture, light behavior, and material property in this image comes from actual photos. So if something looks off, it's not because it's 'AI.' It's because a specific visual element needs adjustment, the same way it would in a traditional photo shoot or composite. The fix is the same too."

​

This gently dismantles the "AI = fake" bias. It establishes that the critique should target symptoms, not source.

Step 3: Offer diagnostic categories

"To help me direct the revision accurately, which of these areas is standing out to you?"

​

  • Technical realism: anatomy accuracy, material behavior, physics consistency
  • Aesthetic direction: color harmony, mood, style alignment with our brand
  • Strategic fit: message clarity, audience resonance, competitive positioning
  • Composition: focal hierarchy, negative space, conversion architecture

​

This forces them to choose a lane. Most people will pick one, and suddenly you have a real conversation.

3. A PRACTICAL GUIDE: HOW TO GIVE AND GET USEFUL FEEDBACK ON AI-GENERATED COMMERCIAL ASSETS

If you find yourself wanting to say "this looks like AI," stop. Ask these questions instead. If you're on the receiving end of the comment, redirect the conversation using this framework.

QUESTIONS TO ASK BEFORE CRITIQUING

  1. What is the business objective this asset needs to serve?Is it conversion, brand awareness, education, emotional resonance? The criteria for a hero banner and a technical product spec sheet are completely different.
  2. Does the image communicate the right emotional promise?Luxury feels different from accessibility. Aspirational feels different from relatable. What feeling should the viewer have in the first three seconds?
  3. Where will this asset live, and at what scale? A thumbnail on a mobile feed has different compositional needs than a full-bleed desktop header. Context changes everything.
  4. What is the reference standard? "I don't like it" is useless. "It doesn't match the lighting direction of our Q3 campaign" is actionable. Point to specific references.
  5. Is the problem technical, aesthetic, or strategic?Technical: anatomy errors, impossible physics, resolution issues.Aesthetic: color harmony, visual weight, style consistency.Strategic: wrong message, wrong audience fit, wrong competitive positioning.

THINGS TO ACTUALLY LOOK FOR

  • Focal hierarchy: Does your eye know exactly where to land first, second, third? Or is it fighting for attention?
  • Light logic: Do the highlights and shadows come from the same direction? Does the quality of light match the mood? Soft for beauty. Hard for drama.
  • Material truth: Does metal look like metal? Does skin have subsurface depth? Do fabrics have weight and texture?
  • Brand DNA: Would this image sit comfortably next to your last three campaigns? Would a customer recognize it as yours without seeing the logo?
  • Conversion architecture: Is there negative space for copy? Does the composition leave room for a CTA button? Is the subject positioned where heat-mapping says eyes actually go?
  • Cultural and market fit: Does this resonate with the specific demographic you're targeting, or is it generic stock image energy?

4. HOW TO RESPOND WHEN SOMEONE SAYS "THIS LOOKS LIKE AI"

Don't get defensive. The comment usually comes from insecurity, not malice. They sense something is off but lack the tools to express it.Ask diagnostic questions: "I want to make sure we fix the right thing. Are you seeing an issue with the lighting direction, the material realism, the emotional tone, or the composition relative to our brand guidelines?"

Offer controlled options: "Here are three directions we can explore. A. pushes toward hyper-realism with more photographic imperfection. B. leans into a more stylized brand language. C. adjusts the focal point to prioritize the product over the environment.Which aligns with your campaign objective?" Document the real feedback: After the conversation, summarize in writing. "Per discussion, the concern is that the skin texture appears too smooth for an authentic beauty positioning. We will add subtle pore detail and adjust the specular map. This addresses the visual concern through specific technical refinement." This trains the client to be more precise next time.Know when to walk away: Some clients will never develop the analytical skills to give useful feedback, and the cost of educating them exceeds the project value. Professional AI production requires professional clients. Not everyone is ready for that relationship yet.

5. THE BOTTOM LINE

"This looks like AI" is the new "make it pop." It is a placeholder for thought, and in a field where the technology is evolving weekly, thought is the only thing that separates commercial-grade work from hobbyist output.

The clients who learn to articulate specific, strategic, business-aligned feedback will get better assets, faster turnarounds, and stronger campaign performance. The ones who don't will keep cycling through revisions, wondering why their AI never looks as good as their competitor's, unaware that the difference was never the model. It was the conversation.

J

U

J

U

M

O

O

M

index

Contact

back

blog

"This Looks AI"

The Lazy Critique That Wastes Everyone's Time and How to Move Past It

by:

Justin Morissette

Read time:

2 to 3 minutes

Index:

1. "THIS LOOKS LIKE AI" IS NOT FEEDBACK. IT'S A CONFESSION

If you've spent more than a week in commercial AI visual production, you've heard it. A client squints at a meticulously crafted asset. One that passed through competitor analysis, concept development, structured generation, manual refinement, color grading, and brand alignment checks. And they deliver their entire creative critique in four words: "This looks like AI."

​

No specifics. No reference to lighting, composition, narrative, or brand fit. No indication of whether the problem is the hand anatomy, the material realism, the emotional tone, or the conceptual direction. Just a vague discomfort masquerading as expertise.

This comment reveals three things about the person making it. They lack the vocabulary to articulate visual problems. They haven't developed the analytical skills to diagnose what separates commercial-grade work from amateur output. And they are outsourcing their creative uncertainty onto a buzzword. "Looks like AI" has become shorthand for "I don't like it but I don't know why, and I need to sound informed."

​

The damage is real. Non-constructive feedback doesn't just waste time. It erodes trust. It extends timelines. It forces creators into endless directionless revision cycles. A professional art director might say: "The skin subsurface scattering feels too uniform. We need more variation in the specular highlights to match our beauty campaign reference." That takes thirty seconds to say and gives the team a precise target. "This looks like AI" takes three seconds, requires a two-hour meeting to unpack, and often leads to changes that don't actually solve anything because the underlying concern was never identified.

2. WHAT TO SAY BACK: A RESPONSE FRAMEWORK

When someone says "this looks like AI," your response should accomplish three things. Reframe the critique from tool-based to symptom-based. Educate briefly without being condescending. And redirect toward actionable business-aligned feedback.

Step 1: Acknowledge without agreeing

"I hear that something in the image isn't landing for you. Let's identify exactly what that is so we can fix it precisely rather than guessing."

​

This validates their feeling without validating their framing. It moves the conversation from vague discomfort to specific diagnosis.

Step 2: Explain the technical irrelevance

"Just so we're aligned on process: the model builds from real photographic data. Every texture, light behavior, and material property in this image comes from actual photos. So if something looks off, it's not because it's 'AI.' It's because a specific visual element needs adjustment, the same way it would in a traditional photo shoot or composite. The fix is the same too."

​

This gently dismantles the "AI = fake" bias. It establishes that the critique should target symptoms, not source.

Step 3: Offer diagnostic categories

"To help me direct the revision accurately, which of these areas is standing out to you?"

​

  • Technical realism: anatomy accuracy, material behavior, physics consistency
  • Aesthetic direction: color harmony, mood, style alignment with our brand
  • Strategic fit: message clarity, audience resonance, competitive positioning
  • Composition: focal hierarchy, negative space, conversion architecture

​

This forces them to choose a lane. Most people will pick one, and suddenly you have a real conversation.

3. A PRACTICAL GUIDE: HOW TO GIVE AND GET USEFUL FEEDBACK ON AI-GENERATED COMMERCIAL ASSETS

If you find yourself wanting to say "this looks like AI," stop. Ask these questions instead. If you're on the receiving end of the comment, redirect the conversation using this framework.

QUESTIONS TO ASK BEFORE CRITIQUING

  1. What is the business objective this asset needs to serve?Is it conversion, brand awareness, education, emotional resonance? The criteria for a hero banner and a technical product spec sheet are completely different.
  2. Does the image communicate the right emotional promise?Luxury feels different from accessibility. Aspirational feels different from relatable. What feeling should the viewer have in the first three seconds?
  3. Where will this asset live, and at what scale? A thumbnail on a mobile feed has different compositional needs than a full-bleed desktop header. Context changes everything.
  4. What is the reference standard? "I don't like it" is useless. "It doesn't match the lighting direction of our Q3 campaign" is actionable. Point to specific references.
  5. Is the problem technical, aesthetic, or strategic?Technical: anatomy errors, impossible physics, resolution issues.Aesthetic: color harmony, visual weight, style consistency.Strategic: wrong message, wrong audience fit, wrong competitive positioning.

THINGS TO ACTUALLY LOOK FOR

  • Focal hierarchy: Does your eye know exactly where to land first, second, third? Or is it fighting for attention?
  • Light logic: Do the highlights and shadows come from the same direction? Does the quality of light match the mood? Soft for beauty. Hard for drama.
  • Material truth: Does metal look like metal? Does skin have subsurface depth? Do fabrics have weight and texture?
  • Brand DNA: Would this image sit comfortably next to your last three campaigns? Would a customer recognize it as yours without seeing the logo?
  • Conversion architecture: Is there negative space for copy? Does the composition leave room for a CTA button? Is the subject positioned where heat-mapping says eyes actually go?
  • Cultural and market fit: Does this resonate with the specific demographic you're targeting, or is it generic stock image energy?

4. HOW TO RESPOND WHEN SOMEONE SAYS "THIS LOOKS LIKE AI"

Don't get defensive. The comment usually comes from insecurity, not malice. They sense something is off but lack the tools to express it.Ask diagnostic questions: "I want to make sure we fix the right thing. Are you seeing an issue with the lighting direction, the material realism, the emotional tone, or the composition relative to our brand guidelines?"

Offer controlled options: "Here are three directions we can explore. A. pushes toward hyper-realism with more photographic imperfection. B. leans into a more stylized brand language. C. adjusts the focal point to prioritize the product over the environment.Which aligns with your campaign objective?" Document the real feedback: After the conversation, summarize in writing. "Per discussion, the concern is that the skin texture appears too smooth for an authentic beauty positioning. We will add subtle pore detail and adjust the specular map. This addresses the visual concern through specific technical refinement." This trains the client to be more precise next time.Know when to walk away: Some clients will never develop the analytical skills to give useful feedback, and the cost of educating them exceeds the project value. Professional AI production requires professional clients. Not everyone is ready for that relationship yet.

5. THE BOTTOM LINE

"This looks like AI" is the new "make it pop." It is a placeholder for thought, and in a field where the technology is evolving weekly, thought is the only thing that separates commercial-grade work from hobbyist output.

The clients who learn to articulate specific, strategic, business-aligned feedback will get better assets, faster turnarounds, and stronger campaign performance. The ones who don't will keep cycling through revisions, wondering why their AI never looks as good as their competitor's, unaware that the difference was never the model. It was the conversation.

J

U

J

U

M

O

O

M