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Research: Prompt as Design Material Date: 2026-03-10 Search queries used: “prompt as design material iterative design artifacts practice” “prompt engineering as design craft HCI research” “prompts as artifacts iterative workflow designers AI tools practice CHI” “digital design material concept Löwgren Stolterman reflective design” “Schon reflective practitioner conversation with materials design AI prompting” “prompt engineering tacit knowledge skill creativity design practice CHI 2024 2025” “prompt craft skill designers strategists writing practice iteration AI collaboration 2025” Executive Summary “Prompt as design material” is a framing that treats text prompts not as one-time commands but as iterated, owned, versioned artifacts with craft properties — closer to a sketch or wireframe than to a search query. The framing draws from Donald Schön’s “reflective conversation with …

In Defense of the Intelligent Use of AI Summaries A response to “Are AI-generated summaries suitable for studying and research?” — TU/e Library, February 24, 2026 The Wrong Question The TU/e Library’s February 2026 article makes a credible, data-grounded case against AI-generated summaries. Its findings are real. But it answers the wrong question. It asks whether AI summaries can replace the careful, deep study required for rigorous scientific output. The implicit audience is the academic researcher, the scientist, the person whose professional value rests on the precision and originality of their understanding. For that audience, the answer is: no, not yet, not without serious risk.