Definitions
1,059 definitions · page 13 of 23
Habit
a behavior that has been transferred from the conscious, effortful declarative system to the unconscious, nearly unlimited procedural system through repetition in consistent contexts, such that the behavior fires automatically from contextual cues without requiring conscious deliberation or executive function.
Delegation to environment
the practice of structuring your physical and social surroundings so that the behavior you want becomes the path of least resistance and the behavior you do not want requires active effort to pursue, thereby enforcing desired behaviors through environmental constraints rather than relying on willpower alone.
Delegation to documents
the practice of writing comprehensive, structured records that encode explanation, alignment, and decision context in a format that can be accessed by future readers or AI agents without requiring the original author's presence or memory.
Over-delegation
the pattern of delegating so thoroughly that one loses the capacity to evaluate whether delegated work is done well or to recover when delegation fails, characterized by skill erosion, loss of mental models, and reduced ability to ask critical questions
Under-delegation
the pattern of holding too much responsibility oneself, creating bottlenecks, burnout, and preventing others from developing capability, characterized by being the only person who can do critical tasks, having a full calendar but unadvanced priorities, and feeling indispensable while exhausted
Bus factor
the number of people who would need to be suddenly unavailable for a project or system to stall, used as a measure of system resilience and individual dependency risk
Delegation
the process of assigning authority and responsibility for a task to another person or agent, operating on a seven-level spectrum from 'do exactly this' (Level 1) to 'handle it entirely' (Level 7), where each level represents a distinct contract of autonomy and oversight with specific implications for relationship dynamics and outcome quality
Delegation capacity
the trained ability to tolerate imperfect output from delegated tasks long enough for the delegation to produce returns, built through progressive practice and mastery experiences that develop pattern recognition and calibration for effective delegation across increasing complexity
Control
the regulatory capacity to ensure desired outcomes are achieved through systems you trust to operate without constant oversight, where true control is demonstrated by the ability to maintain outcomes even in your absence rather than by direct, hands-on management
Leverage
the multiplicative effect of delegation where a small input of effort produces disproportionately large output through the cumulative effect of multiple well-designed delegations, measured as the ratio of output hours produced per management minute invested
Agent monitoring
the practice of systematically observing cognitive systems you've built to distinguish between 'running' and 'working,' between activity and progress, and between habits that drive results and habits that just make you feel busy
Master delegator
a person who designs systems that route work to the right agents without requiring their direct involvement, such that their personal effort operates at a higher level of leverage — designing systems rather than executing tasks, selecting agents rather than being the agent, verifying outcomes rather than managing processes — producing results that exceed what their personal effort alone could produce
Operational definition
a definition of a concept that is entirely specified by the operations used to measure it, where the concept is not an abstract property but rather the result of a specific measurement procedure.
Success metric
a measurable, observable, bounded, and timely quantifiable indicator that defines what constitutes successful performance for a cognitive agent, with properties including observability, boundedness, timeliness, and resistance to gaming.
Monitoring frequency
the rate at which a cognitive agent is checked or reviewed, determined by matching the sampling rate to the rate at which meaningful change occurs in the system, with the optimal frequency being at least twice the fastest change rate to avoid aliasing.
Event-driven monitoring
a monitoring approach where systems alert users when specific events occur, rather than checking on a fixed schedule, used for detecting acute failures that require immediate response.
Dashboard
a visual display of the most important information needed to achieve one or more objectives, consolidated on a single screen so it can be monitored and understood at a glance
Service Level Indicator
a carefully defined quantitative measure of some aspect of the level of service provided, always expressed as a proportion of good events divided by total events measured over a defined window
Service Level Objective
a target value for an SLI that defines the boundary between acceptable performance and the need for intervention
Effectiveness
the degree to which an agent produces the intended outcome, as measured by whether the intended change in the world actually occurs when the agent fires
Time-to-fire
the latency interval between when a cognitive agent's trigger condition is detected and when the agent's response is initiated, measured as the temporal distance between trigger awareness and activation awareness
False positive rate
the proportion of cognitive agent activations that occur when the trigger condition is not actually present, calculated as false positives divided by total activations
False negative rate
the proportion of actual positive cases that a detection system fails to identify, measured as the complement of recall (FNR = 1 - Recall), where a false negative occurs when an agent fails to fire when it should, leaving the system exposed to undetected problems
Agent retirement
the deliberate identification and removal of cognitive agents that have become obsolete or no longer serve their intended purpose due to environmental changes, representing a form of active unlearning
Monitoring overhead
the cognitive, time, and emotional cost of observing and tracking agent performance that must be justified by the value it provides in enabling decisions or actions
Self-monitoring
the practice of systematically observing, recording, and analyzing one's own cognitive agents, behaviors, and mental processes to identify patterns, evaluate performance, and enable targeted improvements
Monitoring journal
a structured written instrument used to record and analyze the performance of cognitive agents, including agent activation status, effectiveness ratings, and contextual factors to reveal patterns invisible through casual observation
Reflection-on-action
the retrospective process of reviewing past behavior to reconstruct reasoning, evaluate outcomes against intentions, and identify opportunities for learning and improvement
Accountability loop
the feedback mechanism created when monitoring an agent produces data that makes the observer a stakeholder in the agent's performance, generating commitment and responsibility through reactivity, commitment-consistency, and observation effects
Reactivity
the phenomenon where self-monitoring alters the behavior being monitored through mechanisms including self-regulation, cuing, and external consequence activation
Commitment-consistency loop
the psychological mechanism where making an explicit commitment to monitor an agent creates internal pressure to behave consistently with that commitment, amplified by written, public, and active forms of commitment
Alert threshold
a predefined numerical boundary that distinguishes normal operational performance from conditions requiring attention or investigation, established in advance of observing deviations.
Trend analysis
the practice of examining how metrics change over time to detect gradual degradation or improvement patterns that would be invisible in point-in-time assessments, enabling early intervention before thresholds are crossed.
Common-cause variation
the inherent, natural fluctuation within a stable system that produces normal performance variations without requiring investigation or intervention, distinguishable from special-cause variation through trend analysis.
Monitoring fatigue
the cognitive phenomenon where excessive monitoring signals overwhelm attentional capacity, leading to systematic ignoring of meaningful alerts due to attentional saturation and signal dilution, with the result that monitoring systems designed to prevent missed signals instead cause critical signals to be missed
Signal-to-noise ratio
the proportion of monitoring alerts that are genuine and actionable versus those that are false, irrelevant, or redundant, used as the primary metric for evaluating the effectiveness of a monitoring system
A/B testing
a controlled experimental method for comparing two versions of a system by running them simultaneously under equivalent conditions and measuring their performance against pre-defined metrics to determine which performs better based on data rather than intuition
Agent versus agent comparison
the A/B testing approach applied to cognitive agents where two competing agents serving the same function are compared on shared metrics to reveal which excels on which dimension and to identify trade-offs between agents
Monitoring
the systematic collection and analysis of data about agent performance and environmental conditions to inform decision-making and optimization
Observation theater
the performance of paying attention to monitoring data without the substance of acting on what attention reveals
OODA loop
a decision-making framework consisting of Observe, Orient, Decide, and Act phases that enables adaptive systems to continuously improve through rapid feedback cycles
Actionable metric
a monitoring metric that demonstrates clear cause and effect, is accessible to those who need to act on it, and is auditable for accuracy
Data-informed decision making
a decision-making approach that treats monitoring data as essential input but not sole input, integrating quantitative metrics with contextual knowledge and qualitative judgment
Plan-Do-Check-Act (PDCA) cycle
a four-step scientific process for iterative improvement consisting of Plan (identify gap and hypothesize change), Do (implement change on small scale), Check (measure results), and Act (adopt, modify, or abandon change based on results)
Bottleneck-first optimization
the practice of identifying and improving only the constraint in a system, since improvements at non-constraint steps do not change system output
Compounding
the multiplicative accumulation of small, consistent improvements that build upon each other to produce exponential growth over time, where each iteration enhances the effectiveness of subsequent iterations through system interactions and retained gains
Marginal gain
a small, measurable improvement (typically 1%) made to a specific component or dimension of a system that, when accumulated across many such improvements, produces exponential growth through compounding effects
Optimization
the process of improving a system, process, or outcome by systematically adjusting inputs or parameters to maximize performance within constraints, where each successive improvement requires exponentially more effort to achieve proportionally smaller gains due to diminishing returns.