Definitions
1,059 definitions · page 14 of 23
Stopping rule
a pre-defined criterion or condition that determines when an optimization effort should cease, consisting of three components: a threshold (what constitutes sufficient improvement), a metric (how to measure progress toward that threshold), and a trigger (what action to take when the threshold is met).
Randomization
the process of randomly assigning inputs to different versions in an A/B test to distribute confounding variables evenly across groups so that any systematic difference in outcomes can be attributed to the treatment rather than background conditions
Confounding
the technical term for what goes wrong when you change multiple variables simultaneously, where a confounding variable correlates with both your change and your outcome, making it impossible to determine which one actually caused the result
Variable isolation
the discipline of changing one thing at a time so that observed effects can be attributed to specific causes
Ablation study
a formalization of variable isolation in machine learning that systematically removes or disables individual components of a model and measures how performance changes to determine each component's contribution
Local optimum
a performance configuration within a fitness landscape that represents the peak of improvement potential within the current framework, where further incremental changes yield no measurable improvement because all directions are downhill.
Framework
the set of unquestioned assumptions, architectural principles, and operational constraints that define the boundaries within which a personal agent operates, determining what actions feel available and what features appear relevant to the agent's performance.
Kaizen
the disciplined practice of continuous, incremental improvement within an existing framework, characterized by small, measurable gains that compound over time to produce significant cumulative value.
Kaikaku
the radical reform of an existing framework through wholesale replacement, characterized by high-stakes, rare events that produce substantial improvements (30-50%) and establish a new baseline for subsequent kaizen.
Speed optimization
the systematic process of reducing the time and friction required for a personal agent to execute, thereby increasing execution frequency and enabling the agent to operate at lower motivation thresholds while maintaining or improving output quality
Overhead
the non-execution time in an agent's operation that includes setup, navigation, context-switching, waiting, and searching, which does not directly contribute to the agent's output but is necessary for the process
Accuracy
the degree to which an agent's output corresponds to the intended outcome, measured by the hit rate of actions taken and decomposed into bias (systematic error) and noise (random error)
Reliability optimization
the process of redesigning agents to fire consistently under varying conditions by building structural support mechanisms such as fallback paths, backup triggers, and minimum viable execution modes
Scope optimization
the practice of expanding or narrowing the situations and actions an agent handles until the agent's boundary matches its purpose
Scope creep
the gradual, uncontrolled expansion of project or agent scope beyond its original boundaries that leads to increased costs, delays, and reduced effectiveness
Energy optimization
the discipline of achieving results with minimal expenditure — cognitive, emotional, or physical
Emotional energy
the cost of feeling — managing anxiety, suppressing frustration, performing social roles, and processing interpersonal dynamics
Physical energy
the cost of doing — maintaining posture, managing fatigue, regulating sleep debt, and sustaining the metabolic processes that fuel both cognition and emotion
Integration tax
the cumulative cost of all transitions, handoffs, translations, and context switches between agents in a system, which can exceed the execution cost of the individual components
Integration optimization
the practice of optimizing how agents connect and hand off to each other, rather than optimizing each agent's performance in isolation, with the goal of reducing unnecessary friction at integration points while maintaining flexibility
Transition cost
the cognitive or operational cost incurred when one process hands off to another, including time lost in reconfiguration, information degradation, and energy spent on context switching
Subtractive optimization
the discipline of making a process better by removing parts of it rather than adding improvements, where the fastest step is the one that does not exist and the most reliable component is the one that was never built
Addition bias
the systematic human tendency to default to adding elements when asked to improve or change something, even when removing elements would be simpler, cheaper, and more effective, with this bias being stronger under cognitive load and when not explicitly cued
Via negativa
the approach of defining something by what it is not, rather than by what it is, particularly in decision-making where subtractive knowledge is more robust than additive knowledge because we can be more confident about what harms us than what helps us
Seven wastes (muda)
the seven categories of waste that can be systematically removed from any production process, including transportation, inventory, motion, waiting, overproduction, over-processing, and defects
Over-processing
a type of waste that occurs when more work or features are added than required to achieve the desired outcome, characterized by activities that feel productive but consume resources without creating value
Optimization sprint
a deliberate, time-boxed session dedicated to improving one specific cognitive agent, with a defined target, a measurable baseline, and a documented outcome
Benchmark
a measurable baseline measurement of system performance taken before any optimization changes are applied, used to determine whether subsequent changes actually improved performance
Optimization log
a structured documentation system that records changes made to a system, the rationale behind each change, the observed results, and the timing of each modification, designed to prevent loss of experimental history and enable systematic learning from optimization efforts
Premature optimization
the practice of optimizing a system or component before measuring and identifying the actual bottleneck, resulting in wasted effort applied to non-constraining elements rather than the true constraint that determines system performance
Continuous optimization
the mindset and practice of making ongoing, small adjustments to cognitive systems and agents based on context changes rather than episodic events or performance degradation, characterized by three properties: ongoing rather than episodic, small rather than sweeping, and responsive to context change rather than just performance degradation
Agent lifecycle
the structural parallel between the creation, deployment, maintenance, evolution, and retirement of cognitive agents and the acquisition, practice, internalization, and letting go of knowledge through learning
Agent creation
a deliberate design act that involves identifying a need, specifying a trigger, defining behavior, setting success criteria, and planning for failure modes rather than a moment of decision or wish
Design
the process of devising courses of action aimed at changing existing situations into preferred ones, involving identifying gaps between what exists and what is desired, then constructing artifacts to close those gaps
Agent deployment
the process of transitioning a designed cognitive agent from the design phase into consistent, automatic operation in daily life, which takes weeks to months and follows a predictable curve of difficulty with specific failure modes and requires deliberate scaffolding, monitoring, and support during the first 30 days to avoid infant mortality
Agent deployment timeline
the measurable duration required for a cognitive agent to transition from conscious, effortful execution to automatic operation, typically ranging from 18 to 254 days with an average of 66 days, characterized by an asymptotic curve where early repetitions produce large gains but later repetitions produce diminishing returns
Agent maintenance schedule
a structured cadence of scheduled reviews and inspections of cognitive agents designed to prevent silent degradation, detect drift, and enable timely adaptation or replacement before failure occurs
Silent degradation
the gradual, undetected deterioration of a cognitive agent's effectiveness that occurs during its stable operating phase, characterized by the absence of visible failure symptoms but progressive loss of alignment with original design or current conditions
Maintenance window
a scheduled, pre-announced period during which cognitive agents are systematically inspected, updated, and adjusted for health, characterized by advance scheduling, stakeholder communication, documented procedures, and defined scope and duration
Agent evolution
the process of modifying an existing cognitive agent by adjusting its triggers, refining its steps, removing accumulated elements, and sharpening its purpose while preserving the agent's core identity and structure
Agent replacement
the process of retiring an existing cognitive agent and building a new one from scratch, ending the old agent's identity while designing something fresh informed by learned lessons but unconstrained by previous design decisions
Agent versioning
the practice of explicitly labeling, preserving, and maintaining changelogs for cognitive agents to enable comparison, rollback, and learning from changes by tracking version history, documenting diffs, and storing previous states
Agent retirement criteria
specific, measurable conditions defined in advance under which a cognitive agent will be retired regardless of emotional attachment or sunk cost considerations, serving as pre-committed decision-making frameworks that eliminate the bias toward agent accumulation by establishing explicit triggers for termination
Clean agent retirement
the process of gracefully discontinuing an agent by documenting what it did, why it's being retired, mapping its dependencies, naming replacements for each dependency, and executing the retirement in phases with monitoring
Extinction burst
a temporary increase in the frequency, duration, or intensity of a behavior that occurs immediately after the reinforcement for that behavior is removed, caused by the organism's attempt to recover the lost reinforcement before concluding the contingency has changed
Agent succession
the process of ensuring that the responsibilities carried by a retired agent are transferred to a new agent, consciously dropped, or temporarily covered with a specific replacement, rather than allowing them to become invisible gaps
Agent archaeology
the practice of excavating diagnostic information from retired cognitive agents to identify recurring design assumptions, environmental constraints, and systematic failures that inform future agent design
Agent portfolio
the full set of active cognitive agents that should be balanced, diversified, and managed as a system of interacting parts where balance, diversification, and correlation matter as much as individual performance