Local AI consultation
We look at a real process, its documents, handoffs, privacy needs, hardware, and failure points. Then we identify where local AI could help on site—and where it should stay out.
On-site fit · clear next stepsThirdShift R&D provides consultancy and scoped project work for private AI applications that run locally on site in small business, construction, maintenance, and other document-heavy operations. We work with the people who own the process, build focused improvements, and document what works.
Services
Work begins with a specific operational problem. We review it, decide whether AI is useful, and recommend or build the smallest practical next step. We favor local, on-site systems over cloud dependence when privacy and control matter; setup can be included when the engagement needs it.
We look at a real process, its documents, handoffs, privacy needs, hardware, and failure points. Then we identify where local AI could help on site—and where it should stay out.
On-site fit · clear next stepsWhen there is a useful fit, we define and build one bounded local improvement: document intake, retrieval, comparison, drafting support, or lightweight automation.
One problem · local by designWhen a recurring need deserves its own tool, we prototype and develop a local AI application with the people who own the work. Useful results can grow into shop products.
Human-owned work · practical productsHow we work
ThirdShift R&D was started by a critical facilities technician who knows what it takes to keep things moving in the real world. Our R&D means developing local AI applications with the people who understand and own the work. Products may come out of it, but the starting point is a real operational need.
Start at the operation.The process and its constraints come before the technology.
Keep human authority.Qualified people remain responsible for final decisions and acceptance.
Publish reliability gains.Methods, measurements, and failures go out when the evidence can carry the claim.
Shop projects
These are products and working tools growing out of practical local AI work. Each is built around people who know and own the domain, with final judgment kept in human hands.
A private, local application for source-aware document intelligence over manuals, procedures, drawings, and other technical records.
Local application · continuing developmentCampOS is the owner-operated local product environment; Boone is its assistant. The foundations are substantially built while integration and reliability gates remain open.
Local product · not yet releasedA planned local AI workflow for electrical construction bid review and estimator-review draft acceleration. It will support bid-document review and drafting while a qualified estimator keeps final take-off and approval authority.
Planned application · estimator review requiredField notes & guides
The R&D blog follows ongoing local AI tests, methods, and measured results. The Gumroad shelf collects free field notes, practical guides, and downloadable resources. They are separate destinations shaped by the same applied work.
Methods, measurements, failures, and unresolved limits—published when there is evidence worth sharing.
Read or subscribe GUMROAD SHELF · MANY DOWNLOADS ARE FREEDownloadable notes, guides, evaluation resources, and build material made for practical use beyond the blog.
Browse the shelfStart with the work
We are interested in local AI applications that run on site for document-heavy processes, repeated handoffs, hard-to-find procedures, and maintenance knowledge that is difficult to preserve. Send a short description and we will reply directly.