Production

Designer Agent

The Designer Agent turns briefs and winning hooks into prompts, ad variants, thumbnails and carousels inside your brand system, and queues each one for design approval.

Expected outputs

Production agent · inside your own accounts

What it hands you

  • Brand asset system: tokens, templates and safe-zone guide
  • Creative prompt library with versioned prompts
  • Ad creative variant sets by angle, format and language
  • Thumbnail and first-frame options for short video
Human approval before anything goes live
See it in the platform

The Designer Agent is the Datakult production agent for creative. It writes structured creative prompts, then produces ad and social variants, thumbnails and carousels inside a brand-consistent asset system with colors, type, layouts and safe zones. Every asset is checked against brand and channel rules and queued for human approval before it is used.

Creative fatigue arrives faster than your design queue

A creative system that produces variants without producing chaos

The Designer Agent starts with your brand tokens, templates and rules, and writes precise prompts and layouts from the brief and the winning hooks. It generates variants per channel and language, checks them against the system, and sends the best to your designer for approval.

Before

  • One good concept is stretched until it fatigues.
  • Each size and language is rebuilt by hand.
  • Outsourced and tool-made assets slowly drift off brand.
  • Briefs are vague and revisions pile up.

After

  • Fresh variants are ready before the winner tires.
  • One concept exports to every channel size and language.
  • Tokens, templates and checks keep every asset on brand.
  • Briefs become precise prompts with a saved history.

What the Designer agent actually does

  • Creative prompt library

    Structured prompts for image, layout and motion tools, with subject, style, composition and exclusions spelled out, saved in your workspace so results are repeatable and new team members start from proven prompts.

  • Ad and social variants

    Variants of a winning concept by angle, headline, visual and format, sized for each channel and language, so tests compare one change at a time and the result teaches you something.

  • Thumbnails and first frames

    Thumbnail and opening-frame options for short video, tied to the hook text, with legibility and contrast checks at phone size where most people see them.

  • Carousels and storyboards

    Six-slide carousels and shot-by-shot storyboards built from approved claims and research, with consistent layout, typography and calls to action across every slide.

  • Brand asset system

    Color, type, templates, logo rules and safe zones captured as tokens, so every output follows the same grid and a new asset looks like it belongs the first time.

  • Policy and brand check

    Each asset is checked against channel rules for text density, restricted claims and required disclaimers, and against your brand rules, before a human reviews it.

From brief to approved output in four steps

Every step is visible in your approval queue. Nothing is published, sent, or spent until a named person signs it off.

  1. 1

    Capture the system

    We collect your logo, palette, type, templates, past winners and brand never-do list, and turn them into a reusable asset system and a prompt library.

  2. 2

    Brief to variants

    From a brief and winning hooks, the agent writes prompts and produces variants by angle, format and language, each labeled with the single variable it tests.

  3. 3

    Check and package

    Assets are checked for brand fit, readability at phone size and channel policy, then exported in the sizes and formats each channel needs, named so tests stay traceable.

  4. 4

    Design approval

    Your designer or brand owner approves, edits or rejects each asset. Only approved creative moves to your ad accounts or channels, and rejections teach the system.

How the Designer agent changes your numbers

Mechanisms, not promises: what moves, why it moves, and which KPIs prove it in your own data.

  • Creative testing velocity

    More controlled variants per cycle means more real learning per dollar. When each variant changes one thing, results point to the cause, and the next brief starts from a winner instead of a hunch.

  • CAC and ad efficiency

    Refreshing creative before fatigue sets in protects click-through and cost per result. Systematic variants reveal which angle and visual lower acquisition cost, and spend can follow the evidence.

  • Brand recognition

    A consistent asset system builds familiar cues across every channel and language. Recognition lowers the work each ad has to do, and it compounds as the brand appears more often in the same recognizable form.

  • Production cost and risk

    Templates, prompts and checks cut the hours spent on resizing and rework, and policy checks reduce ad rejections that waste launch days. Your designer spends time on concepts rather than on exporting formats.

How the Designer agent plays out in your category

Each category has its own constraints, channels, and compliance limits. Here is how the work adapts.

  • Crypto & Exchanges

    Crypto & Exchanges playbook
  • Web3 & DeFi Protocols

    Web3 & DeFi Protocols playbook
  • FinTech & Payments

    FinTech & Payments playbook
  • SaaS & AI Products

    SaaS & AI Products playbook
  • E-commerce & Marketplaces

    E-commerce & Marketplaces playbook
  • iGaming & Betting

    iGaming & Betting playbook

The fair questions, answered straight

Will AI-generated creative look cheap or off brand?

It looks as good as the system behind it. The agent works from your tokens, templates and past winners, and every asset is reviewed by your designer before use. Weak outputs get rejected and improve the system. The goal is on-brand variants fast, not generic art.

Do ad platforms reject or restrict AI-generated assets?

Policies change, so each channel is checked, including disclosure and restricted-category rules, and assets are reviewed before they are uploaded to your accounts. Datakult does not promise approval, since platforms decide, but the process is built to catch avoidable rejections early.

We have an in-house designer. Does this replace them?

No, it extends them. Your designer sets the system, approves the output and focuses on new concepts, while the agent handles variants, resizing and first drafts. Most design teams find the repetitive hours are the ones they are happiest to hand over.

Frequently asked questions

What does the Designer Agent create?

It creates structured creative prompts and ad and social variants, thumbnails, first frames, carousels and storyboards inside a brand asset system. Outputs are exported for each channel, checked against brand and policy rules, and then reviewed by your designer before they are used.

How does it stay on brand?

It works from a brand system built in the first week: colors, type, logo rules, templates, safe zones and a never-do list. Every asset is checked against that system, and your designer approves it. Rejections are logged so the system tightens over time.

Can it produce creative in several languages?

Yes. Variants can be produced for ES, PT, RU and EN with on-image text localized and checked for fit, not just translated. A native reviewer signs off on customer-facing text, especially where the copy touches regulated claims or legal wording.

Who owns the assets and prompts?

You do. Prompts, templates and exported assets are stored in your workspace and accounts and handed over at the end of the sprint. Where a third-party generation tool is used, you keep your own account and licence terms for it.

Does it publish ads for us?

No. It prepares assets and a test plan, and a human uploads or approves them in your own ad accounts. Nothing is launched and no budget is spent until a named approver on your side signs off on the specific creative.

Zero-risk next step

Put the Designer agent to work on your next quarter.

The platform page shows a labeled demo of hook and creative workflows with illustrative data; client results are shared privately and with approval.

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