Palasury — The Creative Engine for Beauty Brands

01 [ The problem ]

Most beauty brands don't have an ad problem. They have a strategy problem.

Small and mid-size DTC brands can now produce ads cheaply. What they can't get cheaply is the thinking that decides which ads are worth making.

One winner, carrying everything

The same creative runs for months. Frequency climbs, costs climb, and the account is really testing one angle.

Random tests, no hypothesis

New ads get made, but nobody wrote down who they're for, what objection they answer, or what the test should teach.

The strictest category on Meta

Beauty ads get rejected for before-and-afters, personal-attribute language, and medical-sounding claims. Most of that risk is decided in the brief.

02 [ How it works ]

From connected data to a shippable brief, in four steps.

The founder spends about ten minutes answering questions. The agents do the rest, and every brief stays editable before anyone produces a single ad.

Step 01

Connect

Add the website and product URLs, connect Meta ads with read-only access, and drop in reviews or past briefs.

IN: site · products · ad account

Step 02

Agents research

Parallel agents read the brand, the reviews, the live ads and the category in Ad Library, then compare notes.

OUT: teardown · gaps · voice-of-customer

Step 03

Founder intake

The intake agent asks only what the data can't answer: margins, legal limits, what the founder refuses to say.

OUT: context the data doesn't hold

Step 04

Strategic brief

Angles, personas, hooks, formats and a test plan, checked against Meta's beauty policies before it's delivered.

OUT: brief · test plan · compliance notes

03 [ The agents ]

Five specialists, one brief.

Each agent owns one job and hands structured output to the next. It's the same division of labor a good creative team uses, compressed into one run.

AGENT 01research

Research agent

Reads the brand like a new strategist on day one.

Website, product pages, ingredients
Customer reviews and recurring language
Competitors in Meta Ad Library

AGENT 02performance

Performance agent

Reads the ad account like a media buyer.

Fatigue: frequency, spend concentration
Hook and format patterns that hold attention
Which angles were never tested

AGENT 03intake

Intake agent

Turns gaps in the data into a short founder interview.

Asks only what the data can't answer
Captures legal limits and brand no-gos
Confirms the priority buyer

AGENT 04strategy

Strategy agent

Combines everything into a brief a team can execute without a follow-up call.

3 angles, each tied to a buyer and an objection
Hooks, formats and creator direction
One-variable test plan

AGENT 05compliance

Compliance check

Reviews every line against Meta's rules for beauty ads.

No misleading before-and-afters
No personal-attribute language
No medical or guaranteed claims

HUMANin the loop

The founder approves

Nothing ships automatically. The brief is a draft until the brand edits and approves it. The agents advise; people decide.

04 [ Sample output ]

The workflow already exists. It runs by hand today.

Before writing the software, I'm running the full process manually as a service. This study came out of that workflow: a fatigue diagnosis, three angles, a test batch of four statics, and a creator brief.

Static ad: Your retinol didn't fail. Its delivery did.

S1 · Angle 01

Does an education hook beat the outcome promise?

S2 · Angle 02

Does "less work, same results" earn interest?

S3 · Angles 01–02

Does a claim-free texture stop the scroll?

Static ad: Strong skin doesn't have an age.

S4 · Angle 03

Does identity language beat category language?

Strategy study page 1: diagnosis and teardown

Strategy study page 4: rationale and projected test plan

Strategy study page 5: UGC creator brief

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.

05 [ Founder ]

Built by a media buyer, not a prompt collector.

I'm Fatih, the 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.

That job taught me the expensive lesson: the ads that win aren't the prettiest ones. They're the ones 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 exact process I use by hand: research, account teardown, angle strategy, brief, compliance check. Claude is already how I do this work every day. The product makes it available to brands that will never have a strategist on staff.

170+

ad creatives tested on Meta with spend-based kill-and-scale rules

4.36

ROAS on the top creative

~80%

of the store's online revenue came from Meta ads

~$140

average order value, premium DTC

Figures from my previous role leading paid growth at a premium DTC eyewear brand (2025–2026).

06 [ Built on Claude ]

Agents that reason, not templates that fill in blanks.

Strategy work is long-context reading, judgment and careful writing. That's why the engine is being built on Claude.

How it's built

01Claude API and the Claude Agent SDK for the multi-agent pipeline, with tool use for web reading and data access
02Long context to read a brand's full site, reviews and ad history in a single pass
03Meta Marketing API with read-only permissions (planned, subject to Meta app review)
04Structured hand-offs between agents so every claim in the brief traces back to a source

Principles

01Read-only by design. The engine never edits campaigns or spends money.
02Human approval on every brief. Agents advise; the brand decides.
03Compliance built into the brief, not patched on after rejection.
04Honest about AI. No fake results, no ROAS promises.

07 [ Roadmap ]

Where it stands today.

Palasury is bootstrapped and self-funded. Service work validates the workflow and funds the build.

NOW

Workflow validated by hand

The full process runs manually with Claude as a service for beauty brands, producing studies like the one above.

Agent pipeline prototype

Research, intake and strategy agents on the Claude API, tested against real brand data.

THEN

Private beta

A small group of US skincare brands using the panel, with every brief reviewed by hand.

LATER

Meta integration

Read-only ad account sync and a loop that learns which angles actually won.

08 [ FAQ ]

Straight answers.

Is The Creative Engine live?

Not yet. It's in development. Today the same workflow runs by hand as a service. Brands that request early access will be first in the private beta.

Who is it for?

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.

Does it run my ads or manage my account?

No. It reads data and writes strategy. It never edits campaigns, changes budgets, or spends money.

Do you guarantee ROAS?

No. Nobody honest can. The engine gives you well-reasoned angles and a clear test plan. The market decides what wins.

How is AI used?

Openly. Claude powers the agents, and AI is used in creative production where it makes sense. Strategy decisions and approval stay with people.

A senior creative strategist for every beauty brand. Run by agents.

The Fatigued Bestseller