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Pre-launch

What is an AI context layer?

An AI context layer keeps goals, source material, permission, risk, and next steps attached so agent workflows start from the real situation.

What it is

An AI context layer keeps goals, source material, permission, risk, and next steps attached to work so agents can start from the real situation and act on it with confidence.

Pre-launch

What it is

An AI context layer keeps goals, source material, permission, risk, and next steps attached to work so agents can start from the real situation and act on it with confidence.

It is pre-launch and framed as the shared layer under the product system, with GuardClaw live today for runtime agent safety.

How it works

Source, boundary, and next step travel together.

01

Capture the real situation

Goals, constraints, decisions, and source material stay connected to the moment that created them.

02

Keep permission visible

Private context carries its boundary, so outward action needs a deliberate confirmation point.

03

Hand agents better ground

Agents receive source-backed context, not a loose summary, and GuardClaw protects the tool path.

Follow the product system

Context Layer is pre-launch. GuardClaw is live, and ThinkingStrategy is the testing surface for agent-ready context. It serves businesses, enterprises, and individuals.

Frequently asked questions

What is an AI context layer?

An AI context layer keeps goals, source material, permission, risk, and next steps attached to work so agents can start from the real situation and act on it with confidence.

Who is it for?

It is for people and teams building agent workflows that need source-backed context, consent boundaries, and confirmation points before an agent acts.

How is it different from a notes app or a vector database?

A notes app stores what you write. A vector database stores chunks for retrieval. An AI context layer keeps source, goal, permission, risk, and next step together so the context remains useful for action.

What can my AI agents do with it?

Your AI agents can start with source-backed context, see the boundary attached to that context, and ask for confirmation before risky or outward action.

Is my data private and mine?

TAKE INTEREST keeps data choices visible. You can choose what is collected, turn collection off, export data, request deletion, and keep private context behind a boundary.