The construction industry remains one of the main contributors to environmental degradation due to its high material consumption and massive waste generation. This study introduces Granizzo, a hybrid methodological framework that integrates artificial intelligence (AI), parametric design, and digital fabrication to transform construction and demolition waste (CDW) into sustainable architectural mosaics. The workflow involves material selection, AI-driven classification of fragments, generative design algorithms for pattern optimization, and CNC-based experimental prototyping. A dataset comprising brick, cement, marble, glass, and stone fragments was analyzed using a Random Forest classifier, achieving an average accuracy above 90%. Parametric design algorithms based on circle packing and tessellation achieved up to 92% surface coverage, reducing voids and optimizing formal diversity compared to manually assembled mosaics. Prototypes fabricated with CNC molds exhibited 35% shorter assembly times and 20% fewer voids, confirming the technical feasibility of the proposed process. A preliminary Life Cycle Assessment (LCA) revealed measurable environmental benefits in energy savings and CO₂ reduction. The findings suggest that Granizzo constitutes a replicable methodological platform that merges digital precision and sustainable materiality, enabling a circular approach to architectural production and aligning with contemporary challenges of design innovation, material reuse, and computational creativity.

Walkability has traditionally been assessed through physical indicators and objective metrics of the built environment; however, persistent methodological fragmentation limits its interpretive capacity in complex urban contexts. This article proposes an operational analytical framework for the analysis of walkability in Latin American intermediate commercial cities, understood as a relational and multiscale urban condition. The study adopts a qualitative–analytical design based on a systematic literature review and the comparative analysis of seven international walkability assessment methodologies. Through this critical synthesis, a framework is constructed that integrates macro, meso and micro scales, differentiated analytical domains, and a sequential interpretative procedure. The main contribution lies in providing an analytical structure that enables coherent interpretation of the tensions between urban structure, socio-economic functioning and pedestrian experience, avoiding reductive or decontextualized readings of walking in intermediate commercial cities.

Distributed digital fabrication training links computer-aided design (CAD), machine operation, electronics, and physical infrastructure. This study demonstrates a documentary evidence framework using 19 assignment pages and one final-project page from the first author’s Ecuadorian Fab Academy portfolio. Five dimensions organize the record: digital-to-physical translation, troubleshooting and iteration, technical assistance, equipment and material access, and reuse or integration. Translation was coded on 17 of 20 pages (85%), reuse or integration on 13 (65%), troubleshooting on 9 (45%), assistance on 8 (40%), and alternative access on 4 (20%). These non-additive percentages describe page-level evidence coverage, including reported intentions where explicitly identified; they do not measure competence. A doctoral thesis by the same author supplies cross-record documentary traceability of CAD, rapid prototyping, Arduino programming, printed circuit board (PCB) design, and computer numerical control (CNC) fabrication. Common authorship prevents treating this comparison as independent validation. The contribution is a source-linked classification of representations, processes, assistance, access, and task dependencies with explicit inference limits. The single-case, artificial intelligence-assisted coding demonstrates an auditable analytical procedure. Coding reliability remains unvalidated; independent recoding and additional cases are required before comparative assessment.

Distributed digital fabrication training combines computer-aided design, machine operation, electronics, programming, documentation, and access to physical infrastructure. This study develops a documentary evidence framework for examining whether these technological activities remain connected when laboratory access is distributed across locations. The framework was applied retrospectively to 19 assignment pages and one final-project page from an Ecuadorian Fab Academy portfolio; a doctoral thesis in an institutional repository provided cross-source verification of the integrated technological chain. Five dimensions were coded: digital-to-physical translation, troubleshooting and iteration, mentoring or technical assistance, access to equipment and materials, and reuse or integration across tasks. Digital-to-physical translation appeared on 17 of 20 pages (85%), reuse or integration on 13 (65%), troubleshooting on 9 (45%), assistance on 8 (40%), and redistributed material access on 4 (20%). The pattern shows continuity through linked technical representations, physical artifacts, assisted diagnosis, alternative access arrangements, and cumulative reuse. Cross-source comparison traced CAD, rapid prototyping, Arduino programming, sensor verification, PCB design, and CNC fabrication into the later device. The framework distinguishes artifacts, reported processes, task links, and technical corroboration. It offers a reproducible audit structure while remaining a bounded demonstration in one practitioner-authored case; independent coding and additional portfolios are required for validation.