Adobe camera app’s new feature will critique your photos using AI

The Rise of the Algorithmic Art Director

Adobe has spent the last few years aggressively integrating generative tools into its suite. Most of it has been focused on creation—generative fill, text-to-image, and vector expansion. But their latest move with Project Indigo signals a shift from creation to curation. It is one thing to have a tool that can paint a mountain; it is another to have a tool that tells you whether your photo of that mountain actually looks good.

The premise is simple: an AI assistant that lives inside your camera app and offers real-time critiques on your photography. It is looking at composition, lighting, and subject focus. For those of us building products or managing brands on a lean budget, this is more than just a novelty filter. It is an attempt to standardize quality in an era where everyone is a content creator, but very few people understand the fundamentals of visual storytelling.

As a founder, I look at this and see a logical step in the commoditization of professional skills. We have already seen this happen with writing through LLMs. Now, we are seeing the professional eye—the subjective judgment of a seasoned photographer—being distilled into a set of mathematical weights and biases.

The Value of the Instant Feedback Loop

For builders, the primary barrier to high-quality marketing isn't usually the gear; it is the eye. You can hand a person a five-figure Leica, and they can still produce a flat, uninspired shot. Adobe’s goal here is to shorten the feedback loop between snapping a photo and realizing it is unusable. Instead of getting back to your desk to find out your product shots are poorly framed, the AI flags it in the moment.

This is where the real utility lies. If you are a solo founder trying to document your journey or a small team building a lifestyle brand, you do not always have the luxury of a creative director on set. Having an AI that understands the rule of thirds or lighting dynamics can act as a safety net. It is about reducing the friction of content production while keeping the floor of quality relatively high.

However, there is a risk here. If every AI camera app is pushing users toward the same definition of a good photo, we might end up in a world of visual sameness. High-quality art often comes from breaking the rules that an AI is trained to enforce. If the algorithm is optimized for what is traditionally pleasing, we might lose the edge that makes a brand stand out in a crowded market.

Background Removal and the Clean Asset Trap

A significant part of this update also includes advanced background removal. This has been a staple of AI tools for a while, but Adobe claims to have refined it to handle complex edges like hair and translucent textures more effectively. For builders, this is purely about logistics. Clean assets are the lifeblood of e-commerce and web design.

But we should be skeptical of the promise of perfect automation. In my experience, these tools often struggle with the nuance of lighting consistency. You can remove a background, but if the lighting on the subject does not match the new environment, the image looks fake and cheap. It is a technical win, but a creative challenge that founders still need to manage manually.

The shift toward automated editing suggests that the manual work of Photoshop is becoming a specialty skill rather than a general requirement. If you can shoot, critique, and mask an object all within a mobile app, the traditional design workflow starts to look increasingly obsolete for 90% of business needs.

Building in the Age of Automated Taste

What does this mean for the crypto and AI startups currently building the next generation of creative tools? It means the bar for user experience is being moved. It is no longer enough to offer a tool that performs a function; the tool now needs to have an opinion. Users want guidance, not just utility.

In the crypto space, we see a lot of raw, unpolished visuals. There is a certain aesthetic to the degenerate builder, sure, but as the industry matures, the need for professional-grade presentation increases. Tools that democratize aesthetic judgment are going to be vital for teams that are heavy on engineering but light on design.

• Efficiency over perfection: Don't wait for a pro if the AI can get you 80% of the way there in seconds.
• Maintain the brand voice: Be careful not to let the AI's critique wash out your unique visual style.
• Iterate in the field: Use the real-time feedback to take ten more shots while you are still on location, rather than trying to fix a bad photo later.

The Skeptic's Corner

Let’s be honest: Adobe’s track record with mobile apps is hit or miss. They have a habit of creating fragmented experiences that require multiple subscriptions and accounts. Whether this feature remains a useful tool or becomes another piece of bloatware depends entirely on the execution of the interface. If the AI interrupts the creative flow with constant pop-ups, builders will disable it immediately.

There is also the question of data. Every photo you take and every critique the AI provides is likely being used to further train Adobe’s models. As builders, we have to be aware of the trade-off between convenience and the contribution to a centralized data moat that might eventually compete with our own creative outputs.

The future of creative work isn't just about making things faster; it's about knowing what to make in the first place. Adobe is trying to sell us that knowledge.

Ultimately, this is a tool for the pragmatic founder. It is about getting the job done so you can get back to building the core product. Use the AI to fix the lighting and the framing, but don't let it tell you what your brand should look like. That part still belongs to you.

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