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AD Creative Lab · Product case study

AI-Driven LinkedIn Carousel Generator

Describe a topic in one sentence: the tool generates a complete LinkedIn carousel — layout, brand identity and content — in seconds. Built in-house by AD Creative Lab, it stands here as concrete proof: the same approach can be designed to your own specs.

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AI-driven LinkedIn carousel generator interface, generated cover slide · AD Creative Lab

Context

Why this tool exists

Designing a LinkedIn carousel by hand takes 30 minutes to several hours, and visual consistency drifts over successive publications. AD Creative Lab built this tool to remove that friction from its own content production — and then drew a broader conclusion from it, applicable to other teams.

Manual production
Before
Slide-by-slide layout in a design tool
Brand identity re-applied by hand on every publication
30 minutes to several hours per carousel
Publishing pace depends on the designer's available time
With the tool
After
A 5 to 9-slide carousel generated in seconds
Brand identity encoded once, applied automatically to every slide
Content adapts instantly to a template change
Publishing pace depends on need, not availability

What sets this approach apart

Why this is a strong product differentiator

Speed
A full carousel in seconds, against 30 minutes to several hours of manual production.
Brand consistency
The visual identity is encoded once; every generated slide follows it automatically, with no manual touch-up.
No single AI-vendor lock-in
Claude, ChatGPT, Gemini, DeepSeek, or a local model: the system depends on no single service.
Extensible system
Slide formats are defined in a configuration file, not hard-coded: adding a new one doesn't mean touching the application.
Native application
A real desktop executable, direct PNG and PDF export to disk, with none of a browser's constraints.
Human + AI collaboration
Every field stays manually editable, or AI-editable slide by slide: the AI proposes, the art direction stays human.
AD Creative Lab · Bespoke tools A similar need in your team? Let's talk about what's worth automating.
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Demonstration

The template system, live

Seven slide formats are defined in the system: cover, content, stats, donut breakdown, comparison, process, engagement. A simplified preview of four of them.

01 / 06
Tech & AI
Top 5 AI Tools in 2026
The tools you need to dominate your market.
03 / 06
By the numbers
The results
95%
Reliability
5s
Generation
7x
Formats
04 / 06
Breakdown
Where the budget goes
Site & UX · 35%
SEO · 22%
Social · 18%
Ads · 25%
06 / 06
Process
How it works
Describe
Generate
Export
Every format reads the same brand rules — colors, typography, signature — defined once in the system.

Under the hood

Making AI-driven generation reliable

A language model with no constraints produces valid JSON, but not always a usable carousel: empty titles, the wrong format picked, no closing slide. Reliability comes from a rule system applied before and after every AI call, not from the model alone.

Encoded design rules: every slide format has its own constraints (title length, a highlighted keyword, expected structure) passed to the model before generation.
Validation and auto-repair: after generation, content is checked and fixed — empty titles rebuilt, badly-formatted lists reconverted into structured bullets.
Guaranteed closing slide: every carousel ends on an engagement slide with a complete question; if the generated question is too short, a second AI call rewrites it from the content already produced.

Design choices

Building bespoke rather than assembling generic tools

The same question applies to any repetitive creative process: automate with what already exists, or have a system designed that matches the need exactly.

Criterion
AD Creative Lab approachBespoke tool
Plugin / no-code
Traditional agency
Consistency with the brand identity
Encoded in the system, applied automatically
Depends on the chosen template
Depends on the brief for every order
Creative control
In-house art direction, every field stays editable
Limited to the template's own options
Requires review rounds
Production speed
Seconds per carousel
Depends on getting used to the tool
Turnaround time on every order
Evolves with your needs
New formats added to the existing system
Limited to the editor's own feature set
A new discussion for every change
Independence
No third-party subscription, no external dependency
Recurring subscription to the plugin's publisher
Dependent on the provider's availability
Scope assessed togetherOn request
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Strength Varies by case Weakness
AD Creative Lab · Product design This logic goes beyond carousels: presentations, reports, sales content.
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In practice

The interface, beyond the cover-slide screenshot

AI provider selection, template and image handling, field-by-field content editing, history and export: four extracts from the real application.

AI provider selection and generation prompt panel · AD Creative Lab
AI provider selection and generation prompt
Slide format switcher and image handling panel · AD Creative Lab
Format switching and image handling
Content editor driven by each template's own schema · AD Creative Lab
Content editing, driven by each template's schema
Action bar: save, history, PNG and PDF export · AD Creative Lab
History, save, PNG and PDF export

Beyond this project

What AD Creative Lab can build for you

This carousel generator is one example among others. The principle — encode an art direction once, put it to work behind AI-driven generation — transposes to other needs:

  • Internal AI-driven content generators, aligned with your brand identity
  • Design systems connected to your production tools (Figma, CMS, presentations)
  • Bespoke platforms or business applications, from prototype to working product
  • Automation of repetitive creative workflows specific to your activity
AD Creative Lab · Product discussion A repetitive creative process in your team that could be systematized? Let's talk.
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Frequently asked

What people usually ask

No. It's an internal tool, built by AD Creative Lab for its own content production. It serves here as concrete proof: the same approach — an encoded design system, AI-driven generation — can be designed to your own specific needs.

Claude, ChatGPT, Gemini, DeepSeek, or a model run locally via Ollama, with no dependency on any single service.

No. The AI generates a content structure from an art direction already encoded by a designer; every field stays manually editable, slide by slide, and the final call stays human.

No. The principle — a layout system encoded once, fed by AI generation validated against precise rules — applies to other formats: presentations, reports, product sheets, sales content.

It depends on the scope: number of formats, complexity of the generation system, integration constraints. The starting point is always a conversation about the real need, before scoping anything.

AD Creative Lab  ·  Bespoke tools, design system + AI

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