02 / METHOD

Connect thinking to real results.

Good AI shouldn't stop at an answer. It should act, look at the result, find out what is true, and use that next time.

Thinking gets better
when it meets reality.

This loop is the core idea behind everything we build. Each step gives the next one more context and better evidence.

FIG. 01THE CLOSED LOOP
Closed-loop intelligence cycleA continuous process links reasoning, action, observation, verification, memory, learning and improved reasoning.REASONACTVERIFY · LEARNOBSERVE
01Reason02Plan03Act04Observe05Verify06Remember07Learn

From goal
to proof.

01

Get the goal

Write down what should be achieved, the limits, what the agent may do, and what proof counts as success. A task starts with a destination, not a chat message.

02

Make a plan

Split the goal into steps. Note what depends on what, what is assumed, and what it will cost. Keep open questions in view.

03

Act within limits

Use approved tools such as software, APIs, and simulations. Stay within set permissions and log every action.

04

See what changed

Look at the real effects of each action. Don't assume the plan worked. Keep an up-to-date picture of where things stand.

05

Check the result

Test the result with independent checks: automated tests, reviewers, formal proofs, statistics, or repeated experiments. If doubt remains, a person reviews it.

06

Remember and improve

Keep a record of what happened, what failed, and what was learned. Use it to do better next time and to measure whether the system is improving.

CLAIM ≠ PROOF

Whoever did the work shouldn’t be the only one to grade it.

Independent checks stop an AI from claiming success it didn’t reach, chasing the wrong target, or repeating the same mistake. When the evidence is thin, the agent should say so, dig further, try another way, or ask a person.

Read about our research

AI that works alone needs clear limits.

Permissions, sandboxes, monitoring, and rules for when to ask a person are core parts of our systems. The aim is AI that works on its own, shows its work, and stays within the limits you set.

Limited permissionsIndependent checksFull activity logHuman sign-off

Make the result checkable.

We look for technical projects with a clear goal, where your team can check whether it was reached.