interest manifest // eight pursuits
Jennifer Nine's pursuits span the machines that built modern computing and the intelligence shaping its future: retro computing, mainframe emulation, emulation & preservation, mobile development, AI research, agentic computing, off-grid AI, and mathematics learning.
We study and preserve the machines that built modern computing — 8- and 16-bit microcomputers, vintage operating systems, and the vector-graphics era. Restoration, documentation, and hands-on exploration of historic hardware and software.
We recreate legacy mainframe and mini architectures in software — running historic operating systems, batch and terminal workloads, and enterprise-era environments long after the original iron is gone. Emulation as preservation, and as a laboratory.
We keep computing history runnable. Beyond mainframes, we emulate arcade, console, and home systems, image and archive original media, and document the hardware and software most at risk of being lost — digital archaeology, in practice.
We build mobile products people carry every day — engineered for real hardware, unreliable networks, and the growing expectation that intelligence lives on the device itself. Native and cross-platform, owned end to end.
Applied and exploratory machine intelligence — reasoning agents, model integration, and the study of how intelligent systems learn, decide, and act. We treat AI as an engineering and research discipline, not a demonstration.
Software that acts, not just answers. We design autonomous agents that plan, use tools, and coordinate — orchestrating multi-step work across systems, with memory, oversight, and guardrails holding the line.
Intelligence that runs without the cloud. We explore self-hosted and offline models on local, low-power, and disconnected hardware — resilient AI that keeps working with no connection, no data centre, and no dependency on remote services.
The language underneath it all. We study the mathematics that powers computing and intelligence — from linear algebra and probability to number theory and the foundations of computation — as an ongoing discipline of learning and application.