{"id":1204,"date":"2026-04-19T08:52:57","date_gmt":"2026-04-19T08:52:57","guid":{"rendered":"https:\/\/www.minuscola.design\/?page_id=1204"},"modified":"2026-07-12T15:13:57","modified_gmt":"2026-07-12T15:13:57","slug":"gen-ai-content-policy","status":"publish","type":"page","link":"https:\/\/www.minuscola.design\/en\/gen-ai-content-policy\/","title":{"rendered":"GenAI Content Policy"},"content":{"rendered":"
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GenAI Content Policy<\/h2>\n\n\n\n

Last update: april 2026<\/em>.<\/p>\n<\/div>\n\n\n\n

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Why this document<\/h3>\n\n\n\n

GenAI can produce convincing text in seconds. Even so, we believe the most important thing in designing products and services is understanding the why behind the choices we make. Flawless content that doesn't respond to people's real needs only makes wrong solutions harder to question.<\/p>\n\n\n\n

AI is an incredibly powerful tool. But it's still a tool. And the responsibility for what we design remains ours. <\/p>\n\n\n\n

This document describes how we're using GenAI in our work, to be transparent with our clients, and to contribute, in a small way, to building good practices alongside the professional community we're part of.<\/p>\n<\/div>\n\n\n\n

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How we use GenAI in our work<\/h3>\n\n\n\n

In minuscola ci occupiamo di Content Design: progettiamo contenuti che mettono in relazione i bisogni delle persone con gli obiettivi di business. Ogni progetto attraversa due momenti: prima divergiamo, per capire il contesto, il business, le persone, poi convergiamo, per trasformare quello che abbiamo imparato in scelte di progettazione concrete. In alcune fasi di questo processo usiamo strumenti di GenAI.<\/p>\n\n\n\n

Discovery and research<\/strong>
This is when we need to understand. We use AI for domain research, content audits, industry benchmarking, and analysis of interviews with users and stakeholders.<\/p>\n\n\n\n

Synthesis and reporting<\/strong>
This is when we need to condense and organise what we've gathered. We use AI to generate summaries, reports, and presentations from the notes, data, and insights collected throughout a project.<\/p>\n\n\n\n

Design and testing<\/strong>
This is when we need to converge and translate insights into design decisions. We use AI to generate wireframes and prototypes to test with real users.<\/p>\n\n\n\n

Tools we use<\/strong>
We currently work mainly with Claude (Anthropic) and Perplexity. We also use other platforms with integrated AI features: Condens for interview analysis, Google Stitch for designing interfaces and prototypes. We keep exploring new tools with the same critical approach we bring to everything else.<\/p>\n<\/div>\n\n\n\n

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When we don't use GenAI<\/h3>\n\n\n\n

To define strategic and business objectives
<\/strong>This is when the right questions matter most: direct conversation with stakeholders where we map the project scope, goals, challenges, and constraints. No tool can replace that conversation.<\/p>\n\n\n\n

To conduct usability tests<\/strong>
Tools that delegate user interviews to AI agents already exist, but we believe a researcher's ability to conduct them well isn't replaceable, not yet.<\/p>\n\n\n\n

When processing documents or files containing sensitive data
<\/strong>Before uploading any material to GenAI tools, we always verify it contains no personal data or confidential information.<\/p>\n\n\n\n

To send reports or documents without review<\/strong>
No AI-generated output is delivered to a client or collaborator without a thorough review from us. To make that review more consistent, we're building a simple internal checklist.<\/p>\n<\/div>\n\n\n\n

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Our principles<\/h3>\n\n\n\n

We continuously test, evaluate, and reflect on the limits and opportunities these tools offer, with the goal of improving our processes and outcomes, not replacing professional judgement.<\/p>\n\n\n\n

Responsibility<\/strong>
The responsibility for what we produce is always ours, regardless of how we produce it. AI's speed doesn't reduce that responsibility, it makes it more deliberate.<\/p>\n\n\n\n

Verification<\/strong>
We always check sources and assess the quality, accuracy, and relevance of generated content against the project's objectives.<\/p>\n\n\n\n

Consistency<\/strong>
Every AI-generated output is evaluated against the specific goals of the project. Objectives and strategic direction guide how we use these tools, not the other way around.<\/p>\n\n\n\n

Inclusivity and accessibility<\/strong>
GenAI tends to reproduce biases present in the data it was trained on. We systematically check that outputs don't contain unnecessary technical jargon, stereotypes or discriminatory language, examples that don't reflect the diversity of people, or accessibility barriers in texts and formats.<\/p>\n\n\n\n

Transparency<\/strong>
We let our clients and partners know when GenAI has been used as part of a process.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

GenAI Content Policy Ultimo aggiornamento: aprile 2026. Perch\u00e9 questo documento Viviamo in un momento in cui la GenAI pu\u00f2 generare testi convincenti in pochi secondi. Nonostante questo, crediamo che la cosa pi\u00f9 importante nella progettazione di prodotti e servizi resti capire il “perch\u00e9” delle scelte che si fanno. Contenuti impeccabili che non rispondono ai bisogni […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-with-title","meta":{"footnotes":""},"class_list":["post-1204","page","type-page","status-publish","hentry"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t