Event-driven record
Production activity is preserved as evidence as it occurs, with its source and time intact rather than flattened into a later snapshot.
Quorum combines an event-driven foundation, graph-based operational context and governed agent authority. The result preserves evidence, provenance and the context that applied at the time - then makes the boundary for agent action explicit.
What evidence supports the Line 4 quality hold?
Inspection signal at station 08
E-221Shift observation linked to the event
E-223Applicable work record at event time
E-227One confirmation remains unresolved
G-18The hold is supported by inspection and operator evidence [E-221] [E-223]. Keep the affected group on hold while confirmation G-18 remains open.
The architecture makes the answer defensible and the authority boundary visible.
Model capability is only one part of a production-grade agent. The operating foundation must preserve what happened, what it meant then and what the agent is permitted to do next.
Production activity is preserved as evidence as it occurs, with its source and time intact rather than flattened into a later snapshot.
Graph modelling gives agents the manufacturing relationships and time-effective context needed to interpret an event correctly.
Identity, permissions, confirmation and audit determine whether an agent may observe, explain, recommend or act.
The public contract is simple: preserve the evidence, place it in the operating context that applied, let the agent explain its answer and stop at the declared authority boundary.
A machine, operator or system records a production fact.
Source, time and provenance remain attached.
The fact is interpreted under the conditions that applied then.
The response cites support and exposes gaps.
Recommendation, confirmation or action follows the declared rung.
Graph modelling connects a fact to the operational context an agent needs to interpret it.
A current database row cannot always explain a past production decision. Substrate uses graph-based modelling to preserve relationships, provenance and time-effective operational context so an agent can reason from the relevant state of the floor.
Substrate combines source-level evidence from the machine and operator boundary with records from existing systems. Voice is one capture channel - useful where hands and eyes are occupied, but never the identity of the architecture.
Production signals and measurements captured close to where the physical event occurs.
Human observations captured through the interface appropriate to the work, including typed or spoken input.
Relevant records from the plant’s current software, retained with their origin visible.
Edge capture is a deployment principle: preserve evidence near the machine and operator boundary where the work happens. The implementation remains specific to each plant.
Keep the origin of each fact visible instead of flattening machine, operator and system records into an anonymous answer.
Ground an answer in the operating context that applied when the event happened, not only the plant’s current state.
Make missing or conflicting evidence part of the answer instead of asking an agent to invent certainty.
Separate a correct recommendation from permission to act through explicit confirmation and policy boundaries.
Walk through a containment investigation with the evidence, citations, gaps and approval boundary visible.