Brand voice that stays on-brand at scale.
Ground every agent in your style guide and best work. The Brand Kit holds your tone of voice, writing rules, glossary, and personas; datasources hold your proven content — so every run sounds like you.
Your voice, codified.
Brand Kit, centralized
Tone of voice, writing rules, glossary, personas, and legal — defined once, reused everywhere.
Grounded in your best work
Attach RAG datasources of proven content so agents write from your real examples, not guesses.
Consistent at scale
Every run pulls the same voice and terminology — across thousands of pieces and many workflows.
Multi-brand by design
Switch the active Brand Kit to reuse one workflow across brands, regions, or business units.
Structured variables
Expose {{toneOfVoice}}, {{glossary}}, and personas as typed inputs into any LLM prompt.
Human-approved
Route on-brand drafts through a review checkpoint before anything publishes.
One source of truth for how you sound.
Define tone of voice, writing rules, glossary, point of view, personas, and legal once. The Brand Kit becomes the canonical reference every workflow draws from, so a campaign built by one team reads exactly like one built by another.
Inject your voice into any prompt.
The Brand Kit Variables node turns fields from the active Brand Kit into structured outputs — each on its own port. Wire {{toneOfVoice}} and {{writingRules}} into a system message, pass a selected persona into the prompt, or drive image generation with brand colors. Switch the active kit and the same workflow re-voices for another brand.
Write from your best work, not from scratch.
Attach datasources of your highest-performing content as RAG. The agent retrieves real examples before it writes, so drafts inherit your phrasing, structure, and terminology — and a restrictive system message keeps it from drifting off-brand or inventing claims.
On-brand at any volume.
Campaign content
Generate posts, emails, and pages that all share one voice and glossary.
Multi-brand factories
Reuse a single workflow across brands by switching the active Brand Kit.
Grounded copywriting
Draft from proven examples via RAG, then refine against writing rules.
Governed publishing
Enforce a kit server-side so no run ships without an active brand.
An on-brand content workflow, end to end.
The Brand Kit Variables feed voice and terminology into the prompt while RAG supplies proven examples; a human approves before anything publishes, and the runner blocks the run if no Brand Kit is active.
How your voice ships at scale.
Define your Brand Kit
Capture tone of voice, writing rules, glossary, and personas in one place.
Ground & generate
Wire the kit and RAG datasources into the prompt; agents draft on-brand.
Review
Approve at a Human-in-the-Loop checkpoint; the system learns from edits.
Publish at scale
Ship across channels with retries and resumable runs — every piece on-brand.
What teams ask before they commit.
How does Draft & Goal keep AI-generated content on-brand?
Draft & Goal grounds every agent in your Brand Kit, which holds tone of voice, writing rules, glossary, personas, and legal guidance defined once and reused everywhere. Every run pulls the same voice and terminology, and RAG datasources of your proven content give agents real examples to write from, not guesses.
What is a Brand Kit in Draft & Goal?
A Brand Kit is a centralized source of truth for how your brand sounds: tone of voice, writing rules, glossary, point of view, personas, and legal guidance. Every workflow draws from this canonical reference at runtime, so a campaign built by one team reads exactly like one built by another.
Can one workflow produce content for multiple brands?
Yes. Draft & Goal is multi-brand by design: switch the active Brand Kit and the same workflow re-voices for another brand, region, or business unit. A kit can also be enforced server-side, so no run ships without an active brand, keeping multi-brand content factories governed at scale.
How does RAG grounding improve brand consistency in AI writing?
You attach datasources of your highest-performing content as RAG, and the agent retrieves real examples before it writes. Drafts inherit your phrasing, structure, and terminology, while a restrictive system message keeps the model from drifting off-brand or inventing claims, so output is grounded in proof rather than generated from scratch.
Is content reviewed by a human before it publishes?
Yes. Draft & Goal routes on-brand drafts through a Human-in-the-Loop checkpoint before anything publishes, so a reviewer approves and can edit each piece. The system learns from those edits, and publishing then runs at scale with retries and resumable runs across channels.
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