Guides and playbooks.

These are the conversations we have with clients before a project starts, written down. Most of them are decisions rather than tutorials: whether the context window matters more than the model, why a vision system dies on the line, which tenancy model you cannot cheaply reverse, and why dashboards fight each other when the metric was never defined once.

We write from delivery work rather than theory, so the answers lean practical and occasionally recommend not building anything. If a post lines up with something you are scoping, the underlying work is covered under AI automation, computer vision, SaaS development and data engineering.