Field Manual for Difficult Systems
Founder-led engineering across infrastructure, cloud, AI, and software when the problem refuses to stay in one lane.
The work starts by finding the actual constraint rather than dressing up a preferred tool as the answer.
My professional foundation is enterprise infrastructure: operations, systems, networking, storage, disaster recovery, architecture, cloud engineering, data pipelines, automation, governance, and the work required to make all of those disciplines coexist in production.
Software and applied AI widened that foundation rather than replacing it. The result is a practice built for problems that cross layers and refuse to stay neatly inside one specialty.
Systems, virtualization, storage, networking, resiliency, migration, and the operational details that decide whether a design survives production.
Azure and Google Cloud environments, network and platform design, governance, migration, automation, observability, and the realities of large estates.
Pragmatic AI integrations, RAG and LLM workflows, MCP service architecture, data exposure controls, and the backend ecosystem required to make them usable.
Practical training on using an AI terminal agent to build everyday tools, scripts, small services, and workflow accelerators that make the workday more capable.
Purpose-built tools, services, automation, media pipelines, and integrations that make capable hardware and real environments more useful.
Research, prototyping, reverse engineering of constraints, and building the connective tissue that existing platforms leave unfinished.
Generative Video Platform
A local-first generative AI video platform for macOS and Linux, designed around the idea that capable user-owned hardware should remain part of the creative workflow.
The release will arrive with the practical material that matters: binaries, hardware guidance, backend compatibility, notes, and source when the beta is ready.
Project statusAI Orchestration / Server
An AI chat hub server designed to connect models, tools, workflows, and surrounding infrastructure without hiding how the system is assembled.
The public release follows when the service layer, configuration story, and extension model are ready to support real use rather than launch theater.
Project statusField Notes will become a maintained log of tools, research, engineering work, and people who earn a signal by being genuinely useful.
Enter field notes