Studio · Architecture
How AI Studio is built.
The three-layer model, the integrations stack, and the governance controls that keep generated work safe to ship.
How it works
Three layers. One system.
Brand Intelligence Engine
Captures founder intent, voice, market context, and visual identity as persistent brand DNA. Every module downstream inherits this context.
Strategy & Planning Modules
Nineteen modules — from brand strategy to influencer ROI — that turn the brand DNA into quarterly plans, campaigns, and content calendars.
Content Production & Distribution
Copy generated, designs auto-rendered against your brand kit, messaging drafted for messaging apps and email — all pushed to your scheduler, performance fed back into the intelligence layer.
The wiring
Plays with the stack you already run.
AI Studio generates. Your tools execute. No rip-and-replace.
Design & assets
Programmatic design APIObject storageBrand Kit sync
Schedulers
HootsuiteMetricoolBufferSprout SocialAgorapulseLaterAyrshareSocialPilot
Platforms
WhatsApp Business APIMetaLinkedInTikTokYouTubeXGoogle AdsGMBMailchimpKlaviyo
Governance & trust
AI you can actually put in front of clients.
Every output scored, every correction captured, every client boundary enforced.
- Confidence scoring on every outputEvery generation scored high / medium / low. Low-confidence work blocks until human review — no generic content reaches a client inbox.
- Human-in-the-loop queuesCommunity responses, influencer briefs, paid ad creative — all stage in approval queues before anything publishes.
- Brand voice drift detectionVoice profile locked per client. Weekly diff runs against recent content to catch drift before it compounds.
- Compliance-aware by regionGDPR, PDPL (Gulf), Australian Privacy Act wired in. Regional content rules applied automatically.