Notes

Our perspective on AI, technology, and building systems that work.

Text, Audio, Art, Metadata: We Built an Autonomous Media Pipeline in 8 Weeks

An autonomous pipeline that runs end-to-end but knows when to ask for help. Multi-modal AI orchestration, five constraints, and what it takes to ship.

February 2026Read →

Single Error Boundary: A Radical Approach to Debugging AI Systems

One catch block in the entire codebase. Everything else raises. Why this is the most productive debugging approach for AI systems in active development.

February 2026Read →

Designing Zero-Egress Research Enclaves for Healthcare PHI

How we architect secure Azure environments where sensitive health data stays protected while enabling AI/ML research at scale. Architecture beats policy.

January 2026Read →

AI Coding Tools Are Breaking Things Faster Than They Build Them

Over 90% of developers use AI tools. But CodeRabbit's research found AI-generated code creates 1.7x more issues. Here's how to unlock AI's potential safely.

January 2026Read →

From Sketch to Launch in a Month: CPA Workflow Automation

Document AI, multi-agent review, automated client communications, and enterprise security—built for a CPA firm in four weeks.

December 2025Read →

Why We Build Before We Pitch

The case for showing up with something wrong instead of nothing at all. How building prototypes changes the conversation.

December 2025Read →

From Knowledge Graph to AI Tutor: Building MathPractice.ai

Custom algorithms, real-time proficiency tracking, and AI-generated practice at scale. How we built adaptive math education from first principles.

February 2026Read →

A Layered Architecture for Self-Service Cloud Provisioning

How to build a service catalog that scales without breaking. Four distinct layers with clear responsibilities and failure boundaries.

February 2026Read →

The Knowledge Base Pattern: How We Made AI Systems Genre-Aware Without Changing Code

Externalize domain knowledge to markdown files. Adding a new genre means adding a file. No code changes, no deployments, no prompt surgery.

January 2026Read →

A Cloud Tagging Strategy That Actually Works

How to design, enforce, and maintain tags that don't decay into chaos. Six mandatory tags, four enforcement layers, controlled vocabularies.

January 2026Read →

The IaC Testing Pyramid: Catching Infrastructure Bugs Before Production

A practical framework for testing Terraform and Bicep at every level. Static analysis, plan validation, deployment tests, and policy checks.

December 2025Read →

The Algorithm Behind Adaptive Learning

Most 'adaptive' platforms just adjust speed. Real adaptation requires modeling what students know, what they don't, and why. Here's how we built it.

December 2025Read →

Pre-Deployment Cost Estimation: Stopping Budget Surprises Before They Start

How to catch cost overruns before a single resource is created. Build cost estimation into your provisioning pipeline with Infracost.

November 2025Read →

Digitize Without Disrupting Compliance

How we built inventory visibility for a pharma manufacturer in 10 weeks—without replacing their GMP paper records. Layer, don't replace.

November 2025Read →

Simulating Battery Physics in the Browser

How I built an interactive BESS simulator to understand an industry I knew nothing about. Real physics, real learning.

November 2025Read →

Dashboard Design Pattern: Progressive Disclosure and Drill-Down

How to build operational dashboards that answer questions at every level. Progressive disclosure beats information overload.

November 2025Read →