Agent Alignment Blog
Deep dives into the systems, patterns, and hard-won lessons of building aligned human-agent collaboration.
19 articles
- Masterful AI Coaching: Scaling Personal Growth and Human Flourishing
AI-Driven Human Flourishing at Scale
Reflection
- 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.
Technique
- The Persistence Gap: Why Agent Work Products Vanish
95 telemetry events. 13 subagent dispatches. A governer score of 74. Every structured artifact field: null.
Case Study
- 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.
Deep Dive
- 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.
Architecture
- 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.
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