One agency. Every client's marketing, run by the AI.
One organization, a project per client, no seats to buy. The AI runs each client's site, email, chat, and knowledge base at consumption cost. You keep the relationship, the strategy, and the judgment.
Squeezed from both sides.
Your small-business clients know ChatGPT and Claude exist, and they're quietly wondering why they pay agency rates for work an AI could do. That's the pressure from above. From below, a senior copywriter costs six figures and a senior developer costs more, and marking up their time was the agency model for twenty years.
You've tried the AI tools. Drafts come out passable and generic, your team rewrites everything to match the client's voice, and you save maybe thirty percent of draft time and zero percent of the coordination, revision, and client-management work, which is where the labor actually lives.
The pain isn't that you need another AI tool. You have ten. The pain is that none of them run the full client operation with the client's specific context baked in.
The margin math, from a real rollout.
Figures from an agency that migrated its client book onto Giant Context.
0%
Gross margin after migration, up from 28%
0+
Hours a client's week used to take the team
0x
Client book on the same headcount
0
Of 18 clients onboarded in eight weeks
A project per client. Context stays isolated.
Fourteen clients, fourteen voices, one admin view.
Each client is a project with its own context, its own voice profile, and its own knowledge base and chat. One client's context never leaks into another's. You get a single agency-level view across every client, and billing aggregates across your projects while you attribute cost per client in your own books.
The pilot week, one client.
What a first-client pilot looks like from the agency side.
Onboard one client's context
Existing site, brand guide, past deliverables, product docs. The AI ingests and comes back with a voice profile and a content-gap read.
A refreshed site, drafted
The AI drafts the site refresh. You review, tweak, and put it in front of the client under your normal workflow.
First post approved
A blog post drafted in the client's voice. Light copy edit, client approval, published.
An afternoon, not a week
A few hours of team time on work that used to take forty-plus. You stay in strategy and approval, where you add value.
One bill, attributed per client.
Consumption pricing scales with the client.
A flat $25 per million units of work, no seats, no tiers, no feature gates. A busy client means more work and more revenue; a quiet client costs less. Quote your client a fixed retainer, run Giant Context underneath at consumption cost, and keep the margin. Smaller clients become viable again when the production labor is AI-priced.
What stays on your team.
Giant Context does the production. The value you sell stays yours.
Run the whole client book on the same team.
Pilot Giant Context on one client. Onboard the context once, and the AI runs the production while you keep the relationship.