Design & Creativestyle guide memory for design teams

Give Design Teams Style Guide Memory That AI Tools Apply Automatically

Most style guides sit in PDFs nobody reads after onboarding. AI design tools certainly don't read them. MemoryLake turns style guides into AI-readable skill memory every design tool retrieves before output.

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The problem: style guides don't reach AI design tools

The 80-page style guide defines everything — and the AI you use produces work that violates 30% of it. The PDF is the "source of truth" that no tool can read. Designers police output instead of trusting it.

How MemoryLake captures style guide memory

Style as skill memory

Rules stored callable, not buried in PDFs.

Versioned guide evolution

When rules update, every AI tool sees the new version.

Cross-tool retrieval

Every design AI tool reads the guide.

Per-client guide variants

Each client's style scoped.

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How it works for style guide memory

Connect — Import the style guide; authorize design tools.
Structure — Rules become skill memory.
Reuse — Every AI generation retrieves rules before output.

Before vs. after: style guide AI memory

	Without MemoryLake	With MemoryLake
AI follows style guide	Rarely	Default behavior
Style guide updates reach AI	Manual	Immediate
Style violations	Common	Memory-blocked
Cross-tool consistency	Variable	Memory-enforced

Who this is for

Design teams with mature style guides — and frustrated by AI output that ignores them.

Runnable demoabout 5 minutes

Try this use case on your own account

Kestrel Studio keeps its style guide as six Markdown files in one Library folder, imported into a project every AI design tool searches. Version 2 ships and three people put their files back three different ways. The demo checks every answer against the file it quotes, shows why each one went stale, and repairs exactly what a freshness audit finds.

What you will see

The plain lib upload renames: the new buttons.md lands as buttons_1.md and is never indexed. --on-conflict overwrite keeps the item, so search still says Harbor Teal 500 while proj doc download of the same document says Copper 400
--on-conflict replace orphans the document: download returns 404, search still ranks it #1. After the release, 0 of 3 answers match their file (7 of 7 runs), and both listings still look healthy
The obvious fixes do nothing: importing again is a duplicate, proj doc reload is refused (STATE_NOT_READY). A freshness audit (document created_at vs file updated_at, download 404, name_N copies) names each problem and leaves the 3 untouched files fresh
The repair re-imports exactly those: FRESH 7, untouched documents keep their ids, and 3 of 3 answers match their file and quote version 2. Plus a local web UI

You need: a MemoryLake API key · the memorylake CLI · Python 3.9+

Run it

git clone https://github.com/memorylake-ai/memorylake-usecases.git
cd memorylake-usecases/style-guide-memory
export MEMORYLAKE_API_KEY=sk-…
python3 demo.py          # or: python3 web/server.py

Open on GitHub Read the walkthrough