Field notes
Practical AI engineering writing for founders and technical teams who need sharper AI strategy, better product delivery, and a developer who can turn business automation ideas into shipped systems.
The real skill stack behind AI automation: no-code tools, programming, SQL, system design, security, prompt engineering, LLM observability, and RAG, plus the order to learn them in.
A SuiteCRM case study: converting accepted quotes to orders, invoicing order deltas, and detecting supplemental invoices and credit notes.
A SuiteCRM migration case study: Docker, Google SSO, calendar sync, OAuth, multilingual fields, and production-ready CRM infrastructure.
How AI engineering, foundation models, and automation create measurable ROI, plus where to invest first and how to ship practical AI.