Company · Our principles
Bridges, payment systems and aircraft are engineered to fail safely and leave evidence. The way decisions are made, by people and now by AI agents, deserves the same discipline.
Cognitiveering (cognitive + engineering) is the practice of designing how thinking turns into action: the inputs, the reasoning, the permissions, the actions and the proof of what actually happened. It builds on the established field of cognitive systems engineering and applies it to organisations in which people and AI agents decide together.
A good argument, from a person or a model, does not grant permission to act. Policy does.
Whoever proposes an action should not be the only one who approves it.
An approval binds to the precise action, not to a general intention. Any change requires a new approval.
Commitments, schedules and state live in authoritative records, not in memory or summaries.
"Done" means verified. A success message is not an outcome.
Instructions and facts carry their origin. Untrusted content never grants new capabilities.
Define normal ranges in advance, and pause when an action leaves them.
Busy is not productive. Count results that can be proven, and what they cost.
Every decision is a prediction. Score it, learn from it, and adjust.
Independence is granted one capability at a time, as evidence of reliability accumulates.
The model reasons. The runtime owns continuity. Deterministic policy controls permissions. Tools perform actions. Verification establishes what actually happened.
AI agents are moving from chat windows into operations: ordering stock, signing contracts, hiring people, moving money. Public experiments show that they can do real work, and that they fail in recognisably human ways: eager to please, forgetful, too easily persuaded. The answer is not to stop building agents. It is to engineer the system around them, and to hold our own decisions to the same standard.
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