4 min read Free

Taste Is the Bottleneck Series #1: When Output Is Infinite, Taste Becomes the Constraint

AI weakens the old production constraint, letting options, drafts, and artifacts multiply faster than organizations can assess. The scarce capability is now calibrated discernment: deciding what deserves making, what is trustworthy, what to cut, and where effort belongs.
Digest 7 min read Free

Daily Digest - 2026-05-09

Reliable AI agents depend less on model supremacy than on the systems around them: evolving harnesses, disciplined build-test-deploy-monitor loops, and shared organizational state that replaces fragmented tools. The advantage lies in engineering context, control, and learning into operations.
4 min read Free

The Right Depth for the Problem Series #10: The Problem-Solving Operating System

A shared problem-solving operating system routes issues by signal, type, risk, constraint, mode, ownership, and stopping conditions. Using the same lightweight spine at different depths keeps urgency, politics, polish, and volume from deciding which problems receive attention.
4 min read Free

The Right Depth for the Problem Series #9: When to Stop Solving

Strong operators know when further effort no longer buys meaningful risk reduction. They stop when a fix is sufficient, the problem is misclassified, the owner lacks authority, or additional research has exhausted its learning value.
4 min read Free

The Right Depth for the Problem Series #8: Ownership: Who Actually Owns the Problem?

Ownership is more than assignment or coordination. One person must be accountable for the outcome, hold enough decision authority to act or escalate, mobilize contributors, and close the loop through an explicit contract of success and review.
4 min read Free

The Right Depth for the Problem Series #7: Root Cause Without Solution Theater

Root-cause work earns its cost when failures are repeated, consequential, surprising, or rich in learning. Its purpose is to find the constraint and change the conditions that produced failure, not stage seriousness through documents, meetings, and vague action items.
4 min read Free

The Right Depth for the Problem Series #6: Fast Fix, Deep Dive, Research, or Experiment?

Problem-solving begins by choosing the right mode: a fast fix for bounded, reversible issues; a deep dive for recurring, consequential failures; research for genuine uncertainty; or an experiment to test a plausible answer in reality.
4 min read Free

The Right Depth for the Problem Series #5: Find the Real Constraint

Hard work fails when it targets symptoms rather than the limiting factor. Identifying whether authority, information, capacity, trust, sequencing, architecture, customer reality, or an avoided decision is blocking progress directs effort where it can matter.

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