The Navigation System
You cannot command the sea. You can run a tighter ship.
Value sets the compass. Belief draws the chart. Control begins at the helm: notice your state of mind, choose what state would serve this situation, and distinguish what you can influence now. When that response involves external work, use an authorised lever, watch the gauges, and keep a way to stop or recover. Agility is the ability to correct course without losing what matters.
Free instrument
Decision Trace
Keep one record of what matters, why this move might help, what is permitted, and what happens. Copy it into your own document or agent conversation; keep the same ID and accepted revision through each handoff.
- Intention
- Before action: name who should benefit, the worthwhile change, and what must stay protected.
- Belief
- Before action: separate what you observed from what you expect and what would change your mind.
- Mandate
- Before delegated work: agree exact permissions, checks, stop, recovery, and human acceptance of this revision.
- Review
- After action or stop: append evidence and the human's next decision. Until then leave null.
Prepare now. Review after the move.
Fill Intention, Belief, and Mandate before delegated work. Leave human acceptance blank until the rightful person accepts this exact revision. Leave Review blank until work happens or stops. If purpose, permission, evidence criteria, stop, or recovery is missing, hold the affected action and name the missing answer and its owner.
Open Values for what must be protected or Beliefs for what needs testing. You can use the instrument you need without completing a tour. Put this to work Copy this prompt. Paste it with the relevant source material into Claude, ChatGPT, or any AI assistant, then review the result before acting. This is a portable record you keep yourself. A schema check cannot grant permission or verify that a human accepted the work. Use null for unknowns and keep the original accepted intention, prediction, and mandate when adding the review. Put this to work Copy this prompt. Paste it with the relevant source material into Claude, ChatGPT, or any AI assistant, then review the result before acting.Prepare one Decision Trace with your agent
Use a machine-readable trace
Copy a blank JSON trace
See a hypothetical enquiry with three possible endings. After your move, carry the same trace to Compare Outcome.
Timeless questions
Answer these to build your control system
- 01
What has my attention, and what state of mind would serve this situation?
- 02
What can I influence without pretending to command the sea or another person?
- 03
Which lever can you actually pull, and which gauge will contradict you?
- 04
How fast does feedback return, and who acts on it?
- 05
What bounds the system when you are wrong?
- 06
Is execution teaching the strategy, and is strategy focusing the execution?
Intention to proof
- 01
Intention
Name the valued outcome and bounds.
- 02
Choice
Choose the real alternative now in reach.
- 03
Attention
Allocate scarce time and energy to the binding constraint.
- 04
Action
Use available capability to make the bounded change.
- 05
Proof
Compare reality with the setpoint and return the learning.
Consequence shows the wake. It updates the chart and the next turn. If the setpoint itself may need to change, the evidence returns to the human value owner; the system does not choose a new purpose.
Authorise one bounded job
Carry the same trace into human acceptance, one bounded move, and an honest outcome review.
Continue to Authorise one bounded jobProof condition
The authorised turn stays within bounds, its gauges and consequence are observable, the named human can stop it, and retained evidence improves the next chart and turn.
Failure condition
The system controls another person, automates a proxy, hides authority or override, crosses a bound, or cannot stop and recover when outcomes disagree.