The Creative Engine reads a skincare brand's website, reviews and Meta ad data, asks the founder the questions a senior strategist would ask, and returns a creative brief plus ready-to-test concept prompts. Strategy in days, not weeks.
US skincare and beauty DTC brands advertising on Meta without an in-house strategist.
Website, products, reviews, Meta ad data and a 10-minute founder intake.
Angles, personas, hooks, a test plan and compliance notes.
Concept prompts for four image models, so teams can see the idea before they shoot it.
Producing ads has never been cheaper. Deciding which ads are worth producing still takes a senior strategist most small brands can't hire.
The same creative runs for months. Frequency climbs, costs climb, and the account is really testing one angle.
New ads get made, but nobody wrote down who they're for, which objection they answer, or what the test should teach.
Beauty ads get rejected for before-and-afters, personal-attribute language and medical-sounding claims. Most of that risk is decided in the brief.
The founder spends about ten minutes answering questions. The agents handle the rest, and every output stays editable before anyone spends a dollar on production.
Add the website and product URLs, connect Meta ads with read-only access, and drop in reviews or past briefs.
Parallel agents read the brand, its reviews, its live ads and the category in Ad Library, then compare notes.
The intake agent asks only what the data can't answer: margins, legal limits, the things the founder won't say.
Angles, personas, hooks, formats and a test plan, checked against Meta's beauty ad policies before delivery.
Every concept ships with image prompts tuned for Nano Banana, GPT Image, Midjourney and Flux. Generate a rough in minutes, then brief designers and videographers with a picture, not a paragraph.
A brief describes an idea. A rough image shows it. Each concept in the brief comes with a prompt the team can paste into the image model they already use, so the founder, the designer and the videographer are looking at the same thing from day one.
Tests whether "less work, same results" earns more attention than a results promise.
Overhead flat-lay of a travertine stone tray with five carved slots. Four slots empty, the fifth holds an amber glass dropper bottle with a gold collar and a blank cream label. Matte charcoal surface, soft window light from upper left, warm amber highlights, editorial product photography, shallow shadows, 4:5.
Each agent owns one job and hands structured output to the next. It's the division of labor a good creative team already uses, compressed into one run.
Reads the brand like a new strategist on day one.
Reads the ad account like a media buyer.
Turns gaps in the data into a short founder interview.
Writes a brief a team can execute without a follow-up call.
Reviews every line against Meta's rules for beauty ads.
Turns each concept into prompts the team can run today.
Nothing ships automatically. Every brief is a draft until the brand edits and approves it, and the engine never touches a live campaign.
Before writing the software, the full process runs manually: a fatigue diagnosis, three angles, a test batch of four statics, and a creator brief. This study is one result.
Does an education hook beat the outcome promise?
Does "less work, same results" earn interest?
Does a claim-free texture stop the scroll?
Does identity language beat category language?
Self-initiated concept study. VÉLARE is a fictional brand created for this study, no client relationship implied. All performance discussion is projected test logic, not measured results. Product imagery was AI-generated and checked by hand; all typography was set by hand.
I'm Fatih Palas, founder of Palasury. Before this, I ran paid growth for a premium DTC brand, where Meta drove most of the online revenue and every creative decision had a budget attached to it.
The lesson was expensive and simple: winning ads aren't the prettiest ones. They're built on a clear buyer, a clear objection and a clear reason to test. That thinking is what small beauty brands can't afford to hire full-time.
The Creative Engine packages the process I already run by hand: research, account teardown, angle strategy, brief, compliance check and concept prompts. The product makes it available to brands that will never have a strategist on staff.
Figures from my previous role leading paid growth at a premium DTC eyewear brand, 2025–2026.
Strategy work is long-context reading, judgment and careful writing. That's why the engine is being built on Claude.
Validate the workflow by hand first, then automate what's proven.
The full process runs manually with Claude and is launching as a service for beauty brands.
Research, intake, strategy and concept agents on the Claude API, tested against real brand data.
A small group of US skincare brands using the panel, every brief reviewed by hand.
Read-only ad account sync and a loop that learns which angles actually won.
Not yet. It's in development, and the same workflow runs by hand today. Brands that request early access will be first in the private beta.
US skincare and beauty DTC brands that already run Meta ads but don't have an in-house creative strategist. Not medical, not MLM, not enterprise.
Fast alignment. Teams paste them into Nano Banana, GPT Image, Midjourney or Flux to see a rough of each concept, then use it to brief designers and videographers. They aren't finished ads, and AI never renders the text.
No. It reads data and writes strategy. It never edits campaigns, changes budgets or spends money.
No. Nobody honest can. The engine gives you well-reasoned angles and a clear test plan. The market decides what wins.
Openly. Claude powers the agents, and AI image models are used where they make sense. Strategy decisions and approval stay with people.
Send your brand name and website. You'll be added to the private beta list and get a reply with the first angle worth testing.
fatih@palasury.com ↗