We automate the ops work your team babysits. You keep control.
Pick the task your people repeat every week. We build each person a system that runs it, train them on it, and hand you the receipt. It runs on the machines you already own or the best models online, tied to no single vendor, and a person approves anything before it ships. Starter branch $10,000, founding clients $7,500, after a free diagnostic.
What we do, in seven minutes.
How we find one piece of real work, build the system for it, and hand back results your team owns.
Using AI already? We make it compound. Not yet? We build it with you.
Find where you are missing
AI answer visibility and search gaps, source-led.
One repeated task, one working path
Agent setup, review gates, training, a reusable receipt.
Make the thread carry forward
Repeated work becomes context, training, and follow-through.
Agents are only as good as the context they run on, and most teams lose it as it is made.
Take Interest captures context as the work happens, so agents act on the real situation.
How the context layer works
layer
Catch the signal
Notice what matters as the work happens, before it slips away.
Keep the shape
Hold the meaning intact: structure instead of a loose summary.
Ready the context
Ground the agent in source, goal, and permission.
Set the boundary
Denied by default. Nothing leaves without consent.
Where it works.
One platform. Many surfaces. Shared context.
Every product is Take Interest applied to one domain. They share a spine of working context, proof, and boundaries, so reasoning and execution stay linked and risk does not spike at the handoff.
How we keep it yours.
Your data, your call
Choose what is collected, shared, and private.
Denied by default
The agent asks before risky actions. GuardClaw blocks the rest.
Rights you can use
Export, delete, turn collection off, anytime.
Questions, answered.
An AI context layer for agent-ready work. It captures working knowledge from calls, docs, and decisions, keeps it attached to source and permission, and gives AI agents better context before they act.
Businesses, enterprises, and individuals who need their AI agents to start from the real situation instead of a loose summary.
Agents need goals, source material, permission, risk, and next steps before tool use becomes trustworthy. Governance without context cannot tell whether an action fits the work.
It gives agents source-backed context, visible boundaries, and confirmation points so the next action starts from the real situation and can be checked before it leaves.
Book a free 30-minute call.
Leave with a clear next move and a result you can inspect. No card, no obligation, and you keep everything we make.