Make the first system work
A stable local assistant on the first Spark that can answer a controlled set of company questions reliably.
- Install and stabilize
- Choose the best local model
- Confirm speed and reliability
A fully local, role-aware AI platform for every authorized RF Lambda employee— grounded in company knowledge and designed to keep internal data inside.
Engineer / Test · Authorized company scope
I reviewed the current work instruction, active ECOs, the authorized unit record, prior test history, and the latest schematic.

Give every authorized employee a faster way to find answers, prepare work, and use company knowledge safely.
The current team is Yuri and Darlene. Both can build the software; ownership has not been divided yet. This baseline shows the work and sequence without inventing assignments.
Planning baseline, not a fixed commitment. Dates will be recalibrated after the first Spark bring-up. Owners will be added only after Yuri and Darlene agree on the task split.
A stable local assistant on the first Spark that can answer a controlled set of company questions reliably.
Employees receive cited answers from approved company sources, and restricted information stays restricted.
The assistant can prepare a pre-test brief, find authorized test data, and understand PDFs, images, PCBs, and schematics.
A small cross-role pilot shows whether the platform saves time, protects data, and is ready for wider company use.
Dates and sequencing will be recalibrated as evidence arrives. Names will be added to individual workstreams only after responsibilities are agreed.
Before answering, the platform checks who is asking, what they are allowed to access, and which project the question belongs to.
Use RFLUPAEXAMPLE1 Rev 6. Before test, confirm ECO-1187, calibration status, prior failure signatures, and the unit’s authorized DataFinder record.
The plan focuses on visible workplace results: faster answers, safer access, fewer missed requirements, and less time spent hunting for information.
Ask questions in normal language and receive cited answers from the company information that person is allowed to see.
PLANNED PATHCollect the ECOs, instructions, prior signals, calibration checks, and cautions relevant to a part before test.
PLANNED PATHUse the proven read-only query path as a governed tool, then improve search and interpretation with the local model.
PLANNED PATHAsk questions about PDFs, images, PCB layouts, circuit diagrams, and other common engineering files.
PLANNED PATHTrack work, ownership, deadlines, decisions, and project context in one place.
PLANNED PATHShare project-scoped context while preserving personal, team, project, and company access boundaries.
PLANNED PATHThe company AI interface is already visible, and DataFinder has already proven a safe read-only path to engineering data.
The platform shell already shows chat, projects, tasks, data connections, and privacy controls in one company workspace.

DataFinder proves the read-only search workflow. The local assistant can make it easier to ask questions, find the right unit, and understand the result.

One DGX Spark is enough to prove the first working version. Seven to eight units is the current estimate for serving fewer than thirty people, but the purchase decision should follow measured employee demand, response speed, and reliability.
Track response time, wait time, reliability, and how many people can use the system together.
Use pilot demand to estimate the capacity needed for different teams and workflows.
Recommend additional units only when measured use shows the required capacity and resilience.
The pilot advances only when employees save time, answers are dependable, restricted information stays protected, and the service remains reliable.
Employees can verify the source and subject-matter experts judge the answer useful.
Role and project restrictions hold in every access test, with a clear audit trail.
The service stays responsive under realistic use and recovers predictably from problems.
People return to the tool, save measurable time, and complete work more easily.