Resources
Guides & Resources.
In-depth guides on AI product photography — from getting started to pricing, ROI, and building your own agency.
Reports & benchmarks
How to Get Product Accuracy with Nano Banana.
Product accuracy in AI product photography is a discipline: name the defect, diagnose it, route it to the right technique, judge the output. Measured, not luck.
The Product Fidelity Bench
Which AI models can actually tell when an AI product photo is wrong? The best agrees with a pro 96% of the time.
Guides & playbooks
How to Get Product Accuracy with Nano Banana
The only one that matters.
The Product Accuracy Route Map: Diagnosis to Technique
Diagnose first. Then pick the technique.
The Visual Syntax Framework
Stop Gambling. Start Engineering.
Size Control: Why AI Doesn't Understand Centimeters
Centimeters Don't Steer. They Coast.
The Prior Test: When the AI Knows Your Product's Material Better Than You
Name things the way the world names them.
Lock-and-Outpaint: Zero Product Drift by Freezing the Pixels
Never redrawn = never wrong.
The Sequential Pipeline: Build Complex AI Product Shots in Checked Steps
One small problem at a time.
Control vs Variant: The Scientific Method for AI Product Images
Stop rewriting the prompt. Change one thing at a time.
Pose-Match: Directing AI Models Without Losing the Product
Create the angle you don't have.
Comp Cards: Consistent AI Models Across a Whole Catalog
The Comp Card Is the Grocery Bag. The Clean Portrait Is the Ingredient.
Count Errors: The AI Defect Class Nobody Talks About
Count the parts. Every time.
The R&D Process: What Pros Do Before They Open the Tool
Most People Fail at AI Photography Before They Even Open the Tool
How to Sell AI Product Photography Services on Upwork
Win the Job by Showing Up With the Samples Already Made
Proof Before Pitch: The Client-Getting Mechanism
The Job Goes to Whoever Shows Up With the Work Already Done
AI Photography Pricing Guide
Charge for the Thinking, Deliver the Images
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