February 26, 2026
SR-SI accidentally solved the documentation problem too
SR-SI forces compact architectural clarity for AI orientation — and that same structure produces always-current human documentation as a byproduct.
Knowledge-systems
March 27, 2026
Gestalt is live. What building it revealed about the problem it solves
Gestalt is a fractal system mapping tool that lets you navigate between strategy and execution without losing context. Built in eight days using SR-SI, it demonstrates how structure—not AI—unlocks speed.
March 28, 2026
The real cost of a broken handoff — and why it never shows up in your retrospective
Most teams label handoff failures as miscommunication when the real problem is coordination. The hidden cost is rework, drift, and decisions that never get transferred with their reasoning.
April 2, 2026
Your team is using AI. That’s not the same as having an AI workflow
Most teams use AI individually without a shared system. The real value comes from structured workflows that preserve context, improve output quality, and reduce inconsistency.
April 6, 2026
AI doesn’t need an encyclopedia. It needs an index.
The problem with most AI workflows isn’t missing information. It’s missing navigation. SR-SI works because it gives AI a compact index, not a bloated encyclopedia.
April 7, 2026
Neon Oracle: why I built an AI tarot interface as a consciousness archiving system
Neon Oracle isn’t just an AI tarot tool—it’s an experiment in using structured sessions as a memory substrate to track patterns in how people think over time.
April 8, 2026
Product drift isn’t a strategy failure. It’s a coordination failure that looks like one.
When products diverge from their original intent, the problem is often blamed on strategy. In reality, it’s usually coordination failure—accumulated micro-decisions without shared context.
April 13, 2026
SR-SI in practice: what a context document actually looks like — and what it replaced
A concrete look at how SR-SI works in practice: what the context document contains, how it’s structured, and how it replaces the hidden re-explanation overhead of AI-assisted development.
April 15, 2026
The AI taskforce problem: why most companies form them wrong
Most companies form AI taskforces around tools and policies before diagnosing where knowledge lives and where friction concentrates. That sequencing mistake is why many AI efforts underperform.
April 16, 2026
What an AI taskforce should actually produce (and what it enables)
Most AI taskforces focus on tools and policies. The real outputs are structural: a knowledge map, context index, workflow, diagnostic instinct, and team alignment.
May 3, 2026
Why AI is making your team more exhausted, not less
AI can raise output while draining human judgment. The hidden cost is the evaluation tax teams pay when every generated artifact needs review.
May 11, 2026
Why your AI context resets every sprint - and what a context architecture actually looks like
Generic AI output usually comes from missing orientation, not weak prompting. Context architecture gives teams a way to preserve decisions, constraints, and product logic across sessions.
May 13, 2026
Memory is retrieval strategy, not storage
Better AI memory does not come from storing more context. It comes from giving the system a disciplined way to reconstruct the right context at the right time.
March 31, 2026
From Design Intent to Working Components: The Full Pipeline
A deeper design-to-code pipeline for turning visual decisions into deterministic AI build rules, reusable indexes, and structural component guidance.