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.
Falling rates, steady costs
Your small-business clients know ChatGPT and Claude exist, and they are asking why they pay agency rates for work an AI could do. At the same time the agency's own software, the CMS, the email platform, the design and project-management tools, bills per seat every month, and marking up staff time on top of that was the model for twenty years.
You have 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 none of the coordination, revision and client-management work, which is where the labor is.
The problem is not that you need another AI tool. You have ten. The problem is that none of them run the full client operation with that client's context in front of them.
The margin math
Industry benchmarks, not customer results. Sources below.
0–60%
gross margin target for a healthy agency
0x
the capacity growth agencies say they are targeting without adding headcount
How an agency runs on it
A project per client and the context stays inside it
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 for one client
What a first pilot looks like from the agency side.
- Day 1
Onboard one client's context
Existing site, brand guide, past deliverables, product docs. The AI reads them and comes back with a voice profile and a first list of ideas.
- Day 2
A site refresh in draft
The AI drafts the site refresh. You review it, change what you want and put it in front of the client the way you always have.
- Day 3
First post approved
A blog post drafted in the client's voice. A light copy edit, the client's approval, published.
- Day 7
The week in team hours
Team time went on review and the client meeting. The drafting was the AI's. You stayed in strategy and approval, where the fee is earned.
One bill and a cost per client
A flat $25 per million tokens of work, no seats, no tiers, no feature gates. A busy client means more work and more revenue. An idle client costs less. Quote the 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 priced this way.
What stays on your team
Giant Context does the production. The value you sell stays yours.
Checked September 2026.
Run the whole client book on the same team
Ask for early access and pilot Giant Context on one client. Onboard the context once, and the AI does the production while you keep the relationship.