Creative Infrastructure for a New Era
The concept of creative infrastructure is shifting from physical spaces—galleries, studios, archives—to a hybrid ecosystem where digital tools carry equal weight in sustaining cultural work. This transformation is not simply technological; it is structural. Automated systems, when designed with agency and intention, enable communities and organizations to handle the enormous volumes of data that creative ecosystems generate. From cleaning messy archives to reorganizing decades-old records, these tools are emerging as essential components of cultural continuity.
One of our major digital focus areas this year has been exploring approaches to the design and development of systems for creative infrastructure needed to manage a growing body of content and digital operations. Rather than approaching this as a purely technical challenge, we rooted much of the process in storytelling.
Generating, analyzing, and reorganizing thousands of narrative fragments, we used stories themselves as the testing ground for automated systems. Each short piece—whether a random chapter, a character study, or a genre experiment—became part of a dataset that helped us refine how our systems clean, classify, and understand information. Through storywork, we built flexible, agentic tools capable of supporting the broader creative infrastructure we depend on, transforming narrative experimentation into a foundation for digital return systems and sustainability.

Agentic Design as a Foundation
Agentic design reimagines automated systems not as passive tools, but as active collaborators within creative and organizational ecosystems. These systems do more than execute commands—they detect inconsistencies, unify metadata, and propose restructured formats that align with how communities actually engage with information. Beyond mechanical processing, they interpret patterns, highlight anomalies, and adapt based on past interventions, effectively learning from the archive itself.
This iterative process forms a dynamic feedback loop: the infrastructure continually evolves, improving its own intelligence and responsiveness, guided by human intent yet empowered by machine autonomy. In this way, agentic systems become co-creators, shaping the form, accessibility, and interpretive potential of the content they manage.

Cleaning the Past to Enable the Future
Cultural and artistic organizations frequently inherit sprawling, fragile, and inconsistent datasets—outdated catalogues, overlapping naming conventions, incomplete records, and thousands of resources scattered across incompatible or disconnected formats. Managing this information manually can be overwhelming, error-prone, and slow, often leaving valuable knowledge hidden or at risk of loss.
Automated systems, however, now make it possible to perform deep cleaning at a scale and precision previously unimaginable. They correct mislabeled items, unify disparate archives, reconcile duplicates, and bring long-forgotten materials back into view. But the impact extends far beyond tidying databases: this work can help restore institutional memory, uncover hidden relationships between works, and surface historical and thematic connections that human curators on their own might never detect.
Transforming fragmented, disordered collections into coherent, navigable ecosystems, these systems not only preserve cultural heritage—they actively expand the interpretive and creative potential of the archive, turning stored information into a living, meaningful resource.
It’s also a fun way to explore new technologies, skills and approaches.
Reformatting for Longevity and Access
Once records are cleaned and standardized, automated tools play a crucial role in reformatting them for long-term durability, accessibility, and public use. These systems transform static PDFs into structured, machine-readable data, transcribe audio and video archives into searchable text, and convert handwritten or analog materials into formats compatible with modern platforms. They also align legacy content with contemporary metadata standards, ensuring consistency, interoperability, and discoverability across systems.
This process does more than manage and safeguard information; it actively strengthens the resilience of creative infrastructure, making sure that no work—regardless of age or format—becomes inaccessible due to obsolete technology or fragmented storage.
What was once fixed and isolated becomes dynamic, integrated, and usable across multiple platforms and contexts, enabling both creators and audiences to engage with cultural materials in new and meaningful ways. In effect, reformatting turns preserved content into a living resource, where stories, research, and creative works can continue to inspire, inform, and connect communities.

Organizing Creative Ecosystems at Scale
Modern creative systems generate a continuous and accelerating flow of new material—stories, images, research, programs, and partnerships—that can quickly overwhelm traditional management approaches. Automated organizational systems allow cultural and artistic organizations to handle this density efficiently without straining staff capacity, freeing human resources for higher-order creative and strategic work.
These systems can also classify works by genre, theme, region, or community; map complex relationships across large bodies of narrative content; and generate innovative structural frameworks such as cross-indexing, timelines, or thematic clusters. Beyond mere categorization, these frameworks reveal hidden connections between works, uncover emerging trends, and surface thematic resonances across collections, allowing organizations to curate experiences that are more engaging, meaningful, and inclusive.
By structuring content dynamically, automated organization supports richer public interaction, strengthens reporting and analytics capabilities, and opens pathways for more ambitious, layered storytelling. Ultimately, these systems transform what could be a chaotic influx of content into an adaptable, intelligible ecosystem where both creators and audiences can explore, interpret, and co-create in ways that were previously impossible.

Analysis as Creative Insight
Automated analysis transforms raw data into meaningful insight, moving far beyond simple counting, tagging, or categorization. These systems can detect subtle patterns in how stories evolve over time, track the recurrence of themes across different communities, and reveal how regional or cultural experiences resonate in parallel or diverge.
For creative organizations, this analytic capability provides actionable intelligence: it highlights emerging communities, identifies thematic trends, signals areas ripe for investment, and exposes gaps or underrepresented voices that might otherwise go unnoticed. Importantly, this is not analysis for the sake of metrics; it is a form of creative augmentation—a way to expand human understanding, inform decision-making, and enrich the cultural narrative itself.
Surfacing connections and trends that are invisible to manual review, automated analysis amplifies the interpretive capacity of organizations, allowing them to respond thoughtfully, design more impactful programming, and cultivate collections that are both strategically guided and artistically vibrant.

Infrastructure as a Living System
Creative infrastructure is no longer a static collection of tools or isolated processes—it is a dynamic, living system, constantly evolving through intelligent adaptation. Automated, agentic systems are the engines that sustain this ecosystem, performing the essential work of cleaning, reformatting, organizing, and analyzing the vast and complex data that underpins cultural life.
When designed thoughtfully and guided by human values, these systems can do more than maintain order—they can amplify creativity, preserve institutional memory, and unlock connections that would otherwise remain hidden.
These new tools and technologies allow communities, artists, and organizations to engage with their work in deeper, more informed ways, transforming fragmented archives into rich, accessible networks of knowledge and inspiration. In this model, technology is not a substitute for human ingenuity but a catalyst for it: creative infrastructure becomes both resilient and generative, empowering communities to tell their stories with clarity, precision, and lasting impact.