Technology / Sutton

A model is not a marketing team.

Sutton builds and equips AI-native marketing teams with the context, orchestration, tools, and controls they need to operate.

Read Brian’s letter

A note from the founder01 / 01

Most AI marketing software begins and ends with access to a foundation model. We started with a different question: what would it take to build a world-class marketing team in software, end to end?

We spent the last year building the missing infrastructure: shared context for humans and agents, a custom agent harness, specialist systems for the major growth functions, and deterministic controls for work that has to be exact.

Sutton is the operating layer we use to build and equip AI-native marketing teams. Models will change. The context, tooling, evaluation, and operating judgment around them are what compound.

See the system

The system around the model

More than a prompt. More than one agent.

Sutton is a coordinated system: business context persists, specialist tools do the work, and evaluation closes the loop.

System view / public layer In production

Persistent business contextThe business stays attached to the work.

Brand
Market
Economics
History

01 / Orchestrate

Choose the right workflow.

A purpose-built agent harness coordinates models, tools, and business context.

02 / Execute

100+ purpose-built tools.

CreativePaid mediaLanding pagesMeasurement

03 / Evaluate

Check the work before it moves.

Deterministic checks, human approval, and an operating record govern execution.

ActionResultContext updatedEvery result improves the next decision.

This is intentionally a public-level view. Architecture, routing, evaluation methodology, and performance benchmarks are available in private diligence.

How the work is built

AI where judgment helps. Code where precision matters.

Language models interpret ambiguity. Structured workflows make the important parts repeatable, inspectable, and controlled.

Adaptive reasoning

Interpret the situation.

Read signals, form a judgment, and adapt the work to the business.

Signal interpretation
Option development
Business-specific reasoning

Deterministic systems

Enforce what must be exact.

Run repeatable checks, protect boundaries, and retain a reliable record.

Validation and QA
Approval boundaries
Action history

The people behind the system

Built by AI engineers and operators.

The team brings experience from agent infrastructure, frontier AI, consumer operations, and more than $150M in DTC sales.

Meet the team

01 / Agent infrastructure

LlamaIndex

Experience building the infrastructure agents use to retrieve context, reason, and act.

02 / AI engineering

Anthropic

Experience evaluating model behavior and reliability in production AI systems.

03 / Consumer operations

Nike

Experience operating inside one of the world’s most exacting consumer businesses.

Operating judgment encoded into the system$150M+

DTC sales across companies the team built, operated, and exited.

For investors and technical teams

Go deeper in private diligence.

We can walk through the architecture, orchestration, evaluation approach, and operating model without publishing the implementation publicly.

Goes straight to Blake. You'll get a real reply, not a sales sequence.