Agent Alignment Blog
Deep dives into systems, patterns, and practical lessons for building aligned human-agent collaboration.
Masterful AI Coaching: Scaling Personal Growth and Human Flourishing
AI-Driven Human Flourishing at Scale
Amplifiers of Efficacy: Stacking Functions to Compound Scalable Positive Impact within a Transformative Fulcrum
Strategic system design for scaling human flourishing through compounding innovation
AI as a Global Catalyst for Cognitive Development
Leveraging AI to Scale Cognitive Complexity, Emotional Intelligence, and Systems Thinking
Next AI Labs: The Inception Story
From Integral Theory to Addressing the Meta Crisis
Six Agent Alignment Patterns the Industry Has Not Published
A practitioner meta-review found six production-born patterns — evidence gates, hallucination taxonomies, runtime correction injection, certainty routing, verification contracts, and hooks as governance — that have no equivalent in published frameworks from Anthropic, Google, OpenAI, or Microsoft.
The Persistence Gap: Why Agent Work Products Vanish
95 telemetry events. 13 subagent dispatches. A governer score of 74. Every structured artifact field: null.
The Convergence of 20 Years of Human Development Work and Anthropic's Education Labs
Twenty years of studying how humans develop, a production AI coaching system proving the thesis works, and a migration to Claude.
Why Claude: An IX Coach Founder's Case for Anthropic's Approach to Human-AI Interaction
What running the same coaching prompt through GPT and Claude reveals about the difference between sentiment detection and emotional reasoning.
From Evoker to Actualization Engine: A Live Case Study of Shifting AI Coaching Quality
How a production coaching system migrated from directive prompting to Socratic facilitation — and what the scoring framework reveals.
Beyond Engagement: Measuring Whether AI Actually Develops Human Capability
Why DAU, retention, and session length are the wrong metrics for development products — and what to measure instead.
Building a System That Cares: The Technical Architecture of AI Coaching at Scale
How a solo-built production stack encodes specific beliefs about human development into every schema, endpoint, and prompt template.
Actualizing Latent Potential: A 20-Year Arc from Human Development Theory to Production AI
Why the most important premise in AI isn't answering questions — it's developing the person asking them.
From Master Coach to Machine: How IX Coach Decomposes Human Expertise into Trainable AI Capacities
A production system that breaks masterful coaching into discrete, measurable AI capacities — each with its own calibration rubric.
The Discovery Problem: When AI Agents Build Tools No One Can Find
We installed 15 AI skills in a single session. Eight were invisible to future agents — not because they were broken, but because they lacked three lines of metadata.
Your Company Has a Pulse. You're Probably Not Measuring It.
How auto-scoring KPI health ranges tell a founder exactly what needs attention — without opening a spreadsheet
The Asymmetric Defense
AI agents are already finding vulnerabilities faster than humans can patch them — self-reinforcing white-hat systems may be the only viable counterforce
Don't Replace the Gut — Calibrate It
Why we designed a measurement system that scores intuition accuracy instead of A/B testing everything
Mining 100 Conversations to Close the Alignment Gap
How we extracted 175 implicit human preferences from conversation logs and turned them into searchable agent knowledge, reducing assumption cascades to near-zero.
Eight Sources, One Query: Building a Unified Agent Memory
How we built a multi-source knowledge retrieval system by making the tests the spec, and found that scoring calibration — not data collection — is where alignment breaks.