I work with product and engineering leaders who need AI, integration, and automation to survive past the pilot—architecture first, automation where it earns its keep, and human oversight where it matters.
Four paths through the archive
- Practical AI — when to use (and skip) LLMs, guardrails, and real delivery lessons.
- Integration — connecting products, data, and workflows without fragile glue code.
- Architecture — structure, boundaries, and delivery choices that survive change.
- Automation — n8n-style workflows and operating patterns that scale past one hero script.
Start on the primary site
Current positioning, case context, and how to work together: MassimoBensi.com. To discuss a project, use the contact path on the site.
Proof in the library
- Practical AI in beauty e-commerce (public-safe case context)
- Case notes & talks
- Azure archive / technical archive for older deep dives
Boundary: examples here use only public-safe information—no confidential client material.
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