Featured essay · Sep 1, 2026
The glass kitchen: transparency by architecture
Why useful explanations have to be designed into an AI product rather than reconstructed after something goes wrong.
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Ideas tested against the work.
Essays on participation, continuity, product character, responsible technology, and the choices beneath a family of distinct experiences.
The library
Design notes with enough room to be useful.
responsible technology · Sep 11, 2026
The product layer of AI safety
Recent frontier safety reports cover model capability and misuse. Most people meet AI inside a product, and that layer has its own rules. Here are ours.
Read articleproduct design · Sep 5, 2026
We built a room, not a chatbot
Why realistic AI conversation practice needs distinct fictional participants, ordered turns, durable state, useful feedback, and human-controlled boundaries.
Read articleresponsible technology · Sep 5, 2026
Why Conversations Does Not Score You
Why difficult-conversation practice needs specific, evidence-grounded feedback without turning a human exchange into one grade.
Read articleproduct design · Sep 1, 2026
Beyond better prompts: the missing operating system for LLM products
Why capable LLM products need durable state, orchestration, evaluation, boundaries, and recovery around the model, not only better prompts.
Read articleresponsible technology · Sep 1, 2026
Guard, don't gag
Why responsible boundaries work best when they are specific to the action, proportional to the risk, and quiet during ordinary use.
Read articleresponsible technology · Sep 1, 2026
Memory should track meaning, not just messages
Why longer histories do not automatically create useful continuity, and what a returning experience actually needs to preserve.
Read articleproduct design · Sep 1, 2026
What we mean by a Cognitive OS
A practical definition of the product architecture around an LLM: durable state, orchestration, evaluation, boundaries, and recovery.
Read articleproduct design · Aug 31, 2026
An editorial room, not a conference call
Why multiple AI perspectives need roles, sequence, and synthesis rather than a louder pile of simultaneous opinions.
Read articleresponsible technology · Aug 31, 2026
Anticipation without manipulation
How a product can prepare useful next steps without pretending to predict a person or quietly steering their choices.
Read articleresponsible technology · Aug 31, 2026
Attention without surveillance
Why a product should adapt from explicit, bounded signals instead of treating exhaustive observation as the price of personalization.
Read articleproduct design · Aug 31, 2026
Complete learning materials, not a pile of fragments
Why generating each worksheet, lesson, scaffold, and assessment separately shifts the integration burden back onto teachers.
Read articleproduct design · Aug 31, 2026
Consistency beyond persona prompts
Why a product voice needs observable behavior, boundaries, and variation rather than a long list of personality adjectives.
Read articleresponsible technology · Aug 31, 2026
Continuity without turning attention into surveillance
Why a returning experience should remember what matters while keeping collection, inference, and control within clear boundaries.
Read articleresponsible technology · Aug 31, 2026
Depth without performance
Designing an attentive interaction without simulating intimacy, overclaiming understanding, or filling every pause.
Read articleproduct design · Aug 31, 2026
Designing for participation, not just answers
A practical design test for learning and practice products: what useful work does the person still get to do?
Read articlecompany · Aug 31, 2026
From applications to shared capability
A company perspective on building distinct products without rebuilding every hard-won capability from the beginning.
Read articleresponsible technology · Aug 31, 2026
Make positions inspectable
Why a useful AI collaborator should be able to show what it currently believes, why it believes it, and what could change its mind.
Read articlecompany · Aug 31, 2026
One family does not mean one product repeated five times
How ForeverLearning AI uses shared product principles without flattening conversation, learning, reflection, and authored worlds.
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