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How to ThinkIn the Age of AI

Concepts

The irreducible epistemic atoms underlying the curriculum. 4,828 atoms across 8 types

Principle

Expect an extinction burst when retiring an agent…

Expect an extinction burst when retiring an agent—a temporary increase in the urge to perform the retired behavior that occurs before decline—and do not interpret this as evidence the retirement was wrong.

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Principle

When building a successor agent, inherit the predecessor's…

When building a successor agent, inherit the predecessor's accumulated knowledge by documenting edge cases, implicit dependencies, and temporal adjustments rather than starting from a blank slate.

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Principle

When designing cognitive agents, examine the full pattern…

When designing cognitive agents, examine the full pattern across multiple past attempts rather than treating each as an isolated failure, as recurring design assumptions reveal systematic blind spots that single-instance analysis cannot detect.

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Principle

Design cognitive systems for your actual operating…

Design cognitive systems for your actual operating environment including its variability and constraints, not for idealized conditions you wish you had, as agents designed for optimal conditions fail when reality reasserts itself.

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Principle

Build cognitive agents with multiple independent trigger…

Build cognitive agents with multiple independent trigger mechanisms and resources rather than single points of dependency, as redundancy enables the system to survive environmental disruption that would otherwise cause cascading failure.

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Principle

Evaluate cognitive agents by how they contribute…

Evaluate cognitive agents by how they contribute to the portfolio's overall properties (diversification, correlation, coverage) rather than by individual performance alone, as portfolio-level risk emerges from relationships between components.

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Principle

Maintain most cognitive agents as stable, low-maintenance…

Maintain most cognitive agents as stable, low-maintenance foundations while reserving a small portion for high-variance experimental practices, as this barbell structure provides both reliability and the capacity for transformative breakthroughs.

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Principle

Diversify cognitive agents across life domains rather…

Diversify cognitive agents across life domains rather than concentrating them in one area, as domain diversity ensures system-level functioning continues when any single domain experiences disruption.

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Principle

Identify and eliminate shared dependencies across multiple…

Identify and eliminate shared dependencies across multiple agents during portfolio review, as correlated failure points create systemic fragility that individual agent optimization cannot address.

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Principle

Make context switching costs visible through deliberate…

Make context switching costs visible through deliberate tracking before attempting to reduce them, because the tax is invisible in subjective experience and most people dramatically underestimate how frequently they switch.

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Principle

Assess agents using frequency-times-behavioral-delta (how…

Assess agents using frequency-times-behavioral-delta (how often they fire × how much they change your actions) rather than perceived importance, as most perceived-important agents prove to be high-frequency noise generators upon measurement.

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Principle

Retire cognitive agents based on current value production…

Retire cognitive agents based on current value production rather than sunk investment, as maintaining low-impact agents due to past effort compounds resource drain through the endowment effect and status quo bias.

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Principle

Regular audits of recurring cognitive processes identify…

Regular audits of recurring cognitive processes identify agents that persist through inertia rather than current utility, enabling resource reallocation before accumulation costs compound.

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Principle

Articulating the specific outcome an agent produces…

Articulating the specific outcome an agent produces and when you last used that outcome distinguishes active value-generators from legacy processes running on autopilot.

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Principle

Estimate agent costs in three currencies—time, attention…

Estimate agent costs in three currencies—time, attention, and opportunity—because the attention cost typically exceeds the time cost and determines actual system load.

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Principle

Documentation must be updated in the same commit or editing…

Documentation must be updated in the same commit or editing session as behavioral changes, not as a separate follow-up task, because manual synchronization steps that can be skipped will be skipped.

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Principle

Documentation should disclose constraints and failure modes…

Documentation should disclose constraints and failure modes, not just capabilities, because users discover limitations through failure when documentation omits them.

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Principle

Coordination costs between agents grow quadratically…

Coordination costs between agents grow quadratically (n(n-1)/2) while value grows linearly, establishing a natural upper bound on portfolio size before overhead exceeds benefit.

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Principle

Allocate attention to agents based on lifecycle stage rather

Allocate attention to agents based on lifecycle stage rather than salience, because deployment-stage agents need calibration attention while mature agents need minimal monitoring.

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Principle

Recognize that expert-stage agents feel boring precisely…

Recognize that expert-stage agents feel boring precisely because automaticity signals mastery—boredom with an agent is often evidence of successful maturation, not need for retirement.

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Principle

Identify your biological prime time through multi-day…

Identify your biological prime time through multi-day tracking of hourly energy, focus, and motivation ratings rather than relying on self-perception, because subjective beliefs about peak performance times are systematically unreliable.

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Principle

Retired agents compost into design knowledge for future…

Retired agents compost into design knowledge for future agents—document what was learned, why it was retired, and what conditions made it obsolete, so nothing is lost.

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Principle

Active unlearning (deliberate identification and retirement…

Active unlearning (deliberate identification and retirement of obsolete knowledge) differs from passive forgetting and requires explicit lifecycle management to execute cleanly.

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Principle

Insert an evaluation pause between receiving external input…

Insert an evaluation pause between receiving external input and adopting a conclusion, using that gap to explicitly assess evidence and reasoning against your own knowledge rather than defaulting to source credibility.

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