AI and Content Personalisation
Fabio Smiraglia
Independent editorial sample · Long-form article · Series A, 03
Scalable strategies for UX, marketing technology and SaaS. Written for product managers, UX designers and martech teams.
Thesis. Rule-based segmentation is no longer enough. AI makes real-time, scalable personalisation possible, but only on composable architectures and with explicit answers on data ethics, algorithmic bias and compliance.
Covers. Composable architectures for personalisation; neuro-adaptive design; five use cases; algorithmic bias and explainability dashboards; the impact of the AI Act; recommendations on privacy by design.
Sources cited. HBR, Deloitte, MIT, ISO/IEC 27701, GDPR.
Method. Source-anchored research, architecture before writing, a model-agnostic AI-assisted workflow with human review and claim verification.
Not client-commissioned work. Figures quoted in the text are attributed third-party findings, not results of my work. The image below shows the opening, translated from the Italian original. The full Italian text is available through the project link.
How the document opens, translated from the Italian original.
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Posted Oct 19, 2026
Independent long-form sample for product, UX and martech teams: scalable AI personalisation with answers on ethics, bias and compliance.
