Output quality tracks context. Most AI tools hand the model a thin prompt and a blank field — so it defaults to generic. Mass feeds every generation from one shared source of truth about your business. Every funnel, email, ad, and video reads from the same brain.
Drop in a URL. Mass reads the website, its social profiles, and everything published around them — and turns it into ready-to-use marketing context. See it pull a live business end to end.
Watch the walkthroughEverything that describes your business registers itself with the source registry: funnels, websites, products, courses, blogs, forms, contacts, brand profiles, brand kits, brand anchors, docs, hubs, artifacts, apps, and your context library. No copy-pasting context — the system already has it.
When a task runs — write a funnel, draft an email, generate an ad — the resolver pulls only the sources relevant to that task into a per-task context bundle, shaped to what the model actually needs instead of dumping everything in.
Bundles are cached and invalidated when the underlying sources change, so generation is fast and reproducible — the same inputs produce the same context.
Sources are embedded and semantically indexed, so even implicit context — the phrase a lead used, the angle of a blog post — can be retrieved when it matters.
Because every generator reads from one shared store of context, your headline, your email subject line, and your ad hook all reference the same facts — and stay congruent with each other. That's the difference between AI-bolted-on and AI-first.
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