Articles
Deep dives into AI agents, protocols, infrastructure, and the technology reshaping how we build.
TDD vs EDD: Why Agentic AI Needs Evals, Not Just Tests
Test-driven development assumes a stable spec and a deterministic pass or fail. Agentic AI has neither. A grounded look at Evaluation-Driven Development (EDD): what it actually proposes, what the research confirms, and the honest gap between the theory and how evals are practiced today.
The 4MAT Framework: Why, What, How, What If
Bernice McCarthy's four-question model for teaching and presenting anything without losing the room: why it beats a straight how-to, how the wheel cycles Why, What, How, and What If, and how to use it for RFCs, tech talks, and onboarding docs.
Systems Thinking for Technologists
A field manual for seeing structure instead of events: the four kinds of systems, how cause and effect actually behaves, the DART loop for diagnosis and action, and what it means for governing agentic AI.
Run Your Own Local LLM in 2026: A Field Guide for Android, iPhone, and Windows
A private AI that never phones home is now a five-minute install on almost any phone or PC. This hands-on guide walks through running a local LLM on Android, iPhone, and Windows: how to read your RAM and VRAM limits, which app and model to pick, the exact steps to install and prove it works offline, and the heat, battery, and accuracy trade-offs nobody warns you about.
Jobs To Be Done: The Framework That Asks Why People Really Buy
People don't buy products, they hire them to make progress in their lives. A plain-English guide to the Jobs To Be Done framework: the milkshake story, the three dimensions of a job, the four forces that decide every switch, and how to write job stories you can actually build against.
Governance for the AI Agent Ecosystem on Mobiles
AI agents will soon run on our phones the way apps do today, powered by cloud LLMs and on-device micro models. A marketplace will follow. This whitepaper lays out the skeleton, template, and nine building blocks of the governance framework that ecosystem will need: manifests, trust certificates, runtime gates, risk tiers, audit, and liability.
AI Governance: A Visual Field Guide
How organizations keep powerful, fast-moving AI systems accountable, compliant, and worthy of trust - from first principles to the agentic frontier. A visual guide to frameworks, lifecycle controls, operating models, and governing AI agents.
15 Product Strategy Concepts Every Senior PM Should Master
Two-way doors, the local maximum trap, Goodhart's Law, the strategy kernel, trust debt — fifteen mental models that separate senior product managers from feature-shippers, with the senior move for each.
Structure Is Deterministic. Content Is Generative.
The strongest AI applications are not the ones that delegate the most to the model — they are the ones that draw the sharpest boundary between what the model decides and what the code guarantees. A 19-step methodology for building agentic applications around that boundary.
Knowledge Graphs: The Missing Context Layer for AI-Driven DevOps
AI can write code in seconds, but it doesn't know how your organization actually runs. Knowledge graphs supply the shared context — services, pipelines, dependencies, policies — that turns AI from a coding assistant into a safe operator of software delivery.
The Product Lifecycle Just Got a Rewrite with AI
A stage-by-stage comparison of the traditional product lifecycle versus the AI-enhanced one — and the 7 operating-model shifts that separate the PMs who'll thrive from those who'll stall.
The Complete Guide to AI Agent Protocols
MCP, A2A, ACP, ANP, AG-UI, AP2, UCP and beyond — the new communication standards shaping how AI agents think, talk, and transact. A full breakdown of every protocol, where it fits, and a comparison table of pros and cons.