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Season 7—Spring 2026  ·  12 episodes  ·  Through-line: the human architecture of institutional change
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Service design

The Agile Trap Designers Fall into: Feeding the Beast

Päivi Salminen on why agile teams trap designers in endless mockups—and how design systems front-load decisions so teams can focus on how interfaces actually work.

Päivi Salminen  ·  4 min
Gamification Series
Part 6 · Conclusion

Design for Players, Not Metrics

Montgomery Singman closes the series: people play because games are worth playing—not because they award points—and success is enrichment, not retention.

Montgomery Singman  ·  Series
Systems & operational design

Job Search Terminal: A Local-First Tool for an AI-Shaped Job Market

Pavel Bukengolts on a free, local-first dashboard that uses AI to augment your judgment while your data and decisions stay on your machine.

Pavel Bukengolts  ·  5 min
Organizational design

The New Makers

James Lang on researchers shipping apps and exhibits—and why the shift from advisor to maker is less about tools than unlearning who you’re allowed to be.

James Lang  ·  20 min
Gamification Series
Part 5 · Implementation

Implementation

Montgomery Singman on choosing a genre instead of copying mechanics—and building core loops that stay engaging even without badges.

Montgomery Singman  ·  Series
Interaction design

Making the Invisible, Visible: 6 Months of Diving Deeper into AI

Anina Botha on trust, automation bias, and turning invisible human behavior into deliberate product design—not copy-pasted AI features.

Anina Botha  ·  4 min
Systems & operational design

The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap

Pavel Bukengolts on connected stacks, the 48-hour operating loop, and why patterns got cheap while judgment did not.

Pavel Bukengolts  ·  6 min
Systems & operational design

AI Fails Silently: A Systems Perspective on AI Reliability

Kwansah Madani on why AI degrades while dashboards stay green—and what continuous behavioral feedback actually requires.

Kwansah Madani  ·  5 min
Ideations—Season 7 All ideations →
Future-Solving
Naming the human-feeling outcome before the tool parade begins: map what must become true, let exploration stay fuzzy while the vision stays sharp, and refuse to substitute vendor matrices for strategy.
Canonical Knowledge
One governed layer of meaning everyone agrees to treat as source-of-truth—so agents and humans aren’t improvising incompatible copies of the same policy, pricing rule, or clinical pathway.
Cheap Prediction, Expensive Judgment
When prediction drops toward zero marginal cost, the binding constraint stops being “can the model guess right?” and becomes “who is accountable for acting on it inside messy institutions?”
The Confabulation Machine
LLMs as conviction engines: fluent, plausible, and prone to completing narratives that never happened—a design problem for verification layers, not just model knobs.
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Members Essays Member essays →
Members only  ·  Josh Tyson
The “Do a Kickflip” Era of Agentic AI

In the rush to adopt AI agents, many organizations are acting like beginners attempting a kickflip—eager, ambitious, but unprepared. Strategy, runtimes, and verified knowledge turn repetition into progress; hype alone turns it into pavement.

Republication  ·  Paired with Brian Evergreen S7E9
Vision-first strategy Agent runtimes Knowledge bases Future-solving
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