AI-Powered B2B E-commerce Lookbook Generator As an E-commerce specialist, I often see retail brands struggling to create high-end, "Retail Ready" lifestyle imagery for national buyers quickly. I built this Melius workflow to solve that. It’s an automated canvas that takes raw product images, processes them through specialized AI agents with tailored prompts, and outputs publication-grade B2B lookbook assets in minutes instead of weeks.

My Process Steps:

Input Node: Uploaded base product layouts (e.g., sustainable retail packaging).

Melius Agent Prompting: Configured a creative agent to analyze the asset and apply a high-end, editorial lifestyle background with strict whitespace rules.

Refinement Node: Passed the generated output through an upscaling and color-grading node to match national retail compliance and premium aesthetics.

Feedback on Melius: Melius completely turns the thrash of traditional prompt-and-pray AI workflows into a structured visual canvas. Being able to see the node-by-node execution allowed me to tweak specific parameters instantly without losing the design direction. The speed at which it generates production-ready imagery is a game-changer for digital marketers and agency owners!

Wow this looks neat and premium! Did you design this using Melius?

Ancora: What Persists. What Returns.

Every object carries two lives. The one it had, and the one it's becoming. Ancora holds both in a single form.

The core concept is the tension between old and new, not blended, not transitioned. A sharp angular fracture where two eras coexist in one object. One side: 1970s Italian craft, aged leather, oxidized brass, raw texture. The other: contemporary minimalism, polished hardware, clean geometry. Two worlds forced together through a deliberate architectural break.The sharp split between old and new is exactly where fashion is right now.

The entire brand identity, product line, and visual world was built from scratch on Melius, first time using the platform. I used the agent throughout to brief directions, iterate on outputs, and refine prompts across multiple node types, from image generation to style references to video.

The process started with research. I searched for references that hit, luxury campaigns, editorial product shots, brand identities that carried real weight. Then I pulled in concept images, product presentations, textures, and mood references that matched the direction I wanted for Ancora. From there I fed everything into Melius, using those references as anchors so the AI could pull the best elements from each, the lighting from one, the texture language from another, the composition from a third. It wasn't about copying any single reference. It was about curating the strongest parts and letting the AI craft them into one cohesive brand identity. Every generation was guided by something real.

The biggest strength was being able to see the full creative process laid out spatially. Each node is a decision, each branch is an iteration. The canvas becomes the proof of the thinking, not just the output. Being able to feed in references and examples, then link them directly to generation nodes meant every product was born from something real. Nothing was random. Every output was inspired, guided, and intentional.

project link:https://app.melius.com/projects/596b09cc-f672-44ca-95cf-c7d8e4a583af/canvas/d71faf89-cabd-479b-9469-76eb8bae0049

instagram post link:https://www.instagram.com/reel/DYaDLkKAhhH/?utm_source=ig_web_copy_link&igsh=MzRlODBiNWFlZA==