
Where to actually start with AI automation
A practical way to spot the workflows worth automating first.
Practical writing on AI, product engineering, cloud, and growth, for the U.S. teams building and scaling on modern technology.

A practical way to spot the workflows worth automating first.

When a platform is enough, and when custom code pays off.

Guardrails, evaluation, and human review that hold up.

How to cut to the core release without cutting the value.

Signs your codebase is slowing the business down.

Tenancy, roles, and billing decisions that age well.

A practical way to spot the workflows worth automating first.

When a platform is enough, and when custom code pays off.

Guardrails, evaluation, and human review that hold up.

How to cut to the core release without cutting the value.

Signs your codebase is slowing the business down.

Tenancy, roles, and billing decisions that age well.

A simple framework for choosing your mobile approach.

Where the real Core Web Vitals wins come from.

Headless or traditional, matching the tool to the team.

Matching the platform to your catalog and team.

The friction points that quietly cost you revenue.

A safe playbook for replatforming your catalog.

A clear way to know when to build versus buy.

A phased approach that keeps the business running.

Keeping records consistent across your systems.

Timelines and expectations, set honestly.

Choosing the right mix for your goals and budget.

GA4 and attribution without the guesswork.

Choosing the right approach for each workload.

The cost discipline most teams set up too late.

Pipelines and IaC that make deploys safe.