The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types and 2 molecules
Calibration develops from domain-specific feedback loops that provide rapid, unambiguous outcome information after predictions, and does not transfer automatically across domains.
After drawing a mental model, audit it for missing feedback loops by tracing whether any effects circle back to influence their own causes, because circular causation governs most complex systems but is invisible to linear thinking.
After each decision agent activation, update the agent's criteria based on whether they produced a good outcome, treating the agent as a living heuristic that improves with each use rather than a permanent law.
Build feedback loops into agent systems through regular review asking whether agents fired, whether they produced intended outcomes, and whether conditions have changed, treating review as essential maintenance not optional improvement.
Add a 60-second structured observation step immediately after recurring activities, recording one sentence about output and one about potential changes, to convert open-loop repetition into closed-loop learning.
For any recurring activity, explicitly define three elements—the specific output being measured, the standard for comparison, and the adjustment rule triggered by deviation—to create a complete minimal feedback loop.
Before attempting to improve any feedback loop, measure the current delay between action and signal in concrete time units (seconds, minutes, hours, days) rather than accepting vague assessments, because unmeasured delays appear shorter than they actually are through habituation.
Find a faster correlated signal that approximates delayed feedback rather than waiting for the original signal, accepting that speed compensates for increased noise in the approximation.
For daily activities, if feedback latency exceeds one week, or for strategic activities if latency exceeds one month, design a leading indicator or checkpoint that shortens the delay before drift compounds.
Strengthen a reinforcing loop you want to amplify by reducing friction at any node, increasing gain at a single node, or shortening cycle time, implementing one intervention per loop rather than attempting simultaneous multi-variable changes.
Before attempting to improve a feedback loop component, verify it is actually the constraint by measuring whether improvements there would increase total system throughput, as optimizing non-constraints produces local gains without system-level improvement.
When feedback consistently arrives in days or weeks while the behavior repeats daily, the brain cannot reliably attribute consequences to specific actions due to temporal credit assignment failure—requiring external tracking systems to maintain the causal connection.
Schedule forcing functions (weekly reviews, monthly retrospectives, quarterly strategy assessments) at intervals shorter than the natural feedback latency to artificially tighten loops that cannot be structurally accelerated.
When a feedback loop identifies a discrepancy between current and target state, translate the evaluation into a specific behavioral adjustment for the next cycle rather than stopping at awareness, because learning occurs during adjustment not observation.
Map any broken feedback loop onto the four-part structure (Act, Observe, Evaluate, Adjust) to diagnose which specific component is missing, because each missing part produces a distinct failure signature.
Before adding corrective action in a delayed-feedback system, inventory pending actions already taken but not yet producing results to avoid pipeline overfilling and subsequent overshoot.
For each feedback mechanism you build, verify within the first cycle that the data reveals something unknown, that measurement effort is sustainable, and that you can specify one concrete adjustment based on results—if any component fails, redesign before continuing.
Treat major life or work transitions as mandatory recalibration events requiring review of all existing feedback loops, as changed context invalidates proxy-outcome correlations that held under previous conditions.
Pair daily micro-commitments with weekly direction checks to verify accumulated actions build toward the macro-goal rather than merely generating activity, adjusting trajectory when micro-actions prove directionally misaligned.