88% of AI Agent Projects Never Reach Production. The Problem Is Not Your Model. It Is Your Harness.

I spent three weeks fighting an AI agent that kept deleting the wrong files.

Stop Flushing the KV Cache: How GitHub Trades VRAM for Compute to Cut Agentic Workflow Costs by 10x

The Era of Stateless Agents: Building Intelligence with Goldfish Memory

AI Will Not Fix a Team That Lacks Engineering Discipline

Faster code does not mean better engineering

Why Specification-Driven Development (SDD) is Not a Silver Bullet for AI-Assisted SDLC

Using a popular SDD GitHub Spec Kit and a real-world feature experiment

What DeepL Got Right That No LLM Can Copy

A top-down look at the product that understood data and specialised AI before the world was talking about either.

What Happens When AI Learns From Incorrect Labels: The Hidden Cost of Noisy Training Data

Your doctor’s AI notetaker may be making things up, Ontario audit finds

Made-up therapy referrals, incorrect prescriptions among the common mistakes.

The Orchestration Tax: Why Multi-Agent Systems Get Expensive

How context propagation, supervisor loops, tool calls, memory, and observability quietly drive up the cost of production agentic systems.

The Transparency Rule — Make Clarity the Default (AISAFE 3)

“If you can’t explain it to a child, it shouldn’t run a nuclear plant or an economy”

Rethinking the AI Gold Rush: Industry Leaders Warn of the "Agentic Paradox"

Enterprises are finding that as their AI usage scales, token costs are eroding profit margins at an unsustainable rate