An AI coding agent invented table names on a 50k SKU WooCommerce sync until I wrote the schema down for it. Here are the context files I now keep in every project, and why decisions made in meetings need to end up in the repo too.
A 60-page research PDF nobody ever opened became a set of virtual personas the team could actually question mid-sprint. Here is the setup, the kind of data you need to feed it, and the mistake that makes the whole thing useless.
REINFORCE was too slow for a warehouse path-finding bot, so I switched to the actor-critic method and hit three problems on the way: an undetached TD target, snapshot rewards the agent gamed, and a gamma that erased the payoff.
A health-tech client had 99.8% accuracy on a disease that shows up in 0.2% of patients. Their agent said no to everyone. Here is how I pulled a continuous risk score out of a binary agent so the AUC comparison against their XGBoost model meant something.
An AI engineer wires up models that already exist. A machine learning engineer builds the model. Which one you hire decides whether you ship in two weeks or spend six months in a sandbox, and here is how I tell the two jobs apart.
The RTX 30-series has no hardware FP8, so I packed four FP8 values into one FP32 container and unpacked them inside a Triton kernel. On a client’s 3080s that cut the memory bottleneck and ran about 3.3x faster.
Stop the nightmare of misleading model metrics. Accuracy isn’t everything. In this guide, Ahmad Wael explains how to calculate Machine Learning AUC in Excel using the trapezoidal rule. Learn why ranking quality matters more than a single threshold and how to validate your WooCommerce recommendation engines without complex Python setups.
Basic gradient descent often fails in complex WordPress environments, leading to server timeouts and oscillating models. Learn how to implement advanced Gradient Descent Variants like Adam and Momentum to stabilize training and accelerate convergence. Stop relying on basic updates for production AI and start building robust, efficient machine learning systems.
I had a client come to me a few months back with what they called a “total disaster.” They’d spent a fortune having a junior…
I recently got a call from a client who was at his wit’s end. He’d hired a “prompt engineer” to build a custom WooCommerce analytics…