Tommaso Prinetti

Tommaso Prinetti

Product Designer / Complexity, AI systems, Research Operations

Product designer and design researcher working on complex AI systems, research infrastructure, and expert workflows. I design tools, interfaces, and supporting infrastructures that help teams reason through data, models, and operational constraints, from problem discovery to working implementation.

Currently at

medialab Sciences Po

medialab Sciences Po

Design Engineer leading LLM workflow development (Spinosa framework), local-first AI tools (ORT toolkit), and design systems across médialab research projects. Built Ecologies of LLM Practices, Artificial Inquiries, Editions Annexes, Glean,...

Case studies

Spinosa

Spinosa is a CLI-based research product for expert teams working with large, mixed research archives. It closes the gap between fragmented material and AI-assisted research by preparing corpora, structuring sources,...Ecologies of LLM Practices

Ecologies of LLM Practices

Research infrastructure studying how 50 professionals use LLMs through their actions rather than interviews. Combines fieldwork tools, multimodal capture, privacy-preserving local processing, local AI analysis, and an Obsidian vault that...Open Research Toolkit

Open Research Toolkit

Open Research Toolkit is a local-first Svelte component toolkit for assembling private AI-assisted research interfaces. It gives researchers reusable interface primitives for files, text, JSON, search, status, and agent workflows...FutureObs

FutureObs

FutureObs combines a paper workshop device with a SvelteKit, TypeScript, and Remotion video-generation workflow for participatory research on French maritime ecosystems. It turns unstable field material into participant-facing prompts and...

Mentions

Artificial Inquiries

Artificial Inquiries

How do you design a research tool that participants actually want to use? Artificial Inquiries is the methodological vademecum of Ecologies of LLM Practices. It combines paper-based exercises, an experimental...Global Data Barometer honorable mention

Global Data Barometer honorable mention

Which governments say they share data — and which actually do? The Global Data Barometer explorer visualizes the 2025 dataset to identify gaps in data policy, availability, and use across...OSINT for Ukraine: Matrix Handbook

OSINT for Ukraine: Matrix Handbook

How do you teach journalists to verify what they see online? The OSINT for Ukraine Matrix Handbook translates a 23-parameter analytical framework into pedagogical and technical documentation for evaluating the...