Machine-fit diagnosis
Does your machine have a current-state problem?
Answer four questions — an educational read on whether a maintained record would change this system’s work.
Results
The three possible results
Four yes answers: This machine depends on a changing real world and can preserve the evidence needed to govern its actions.
Two or three: A narrower set of names and events would show whether keeping them current improves this system's work.
Fewer: SigB is most useful where real-world change materially alters an answer, decision or route.
An educational guide, not a technical or commercial guarantee.
The honest comparison
Why not just ask an AI?
- Every claim is traced to a named source. The generating model is barred from adding facts from its own training data; what it writes must come from the documents in front of it.
- An independent second pass checks each claim against those sources and names what it cannot locate. An unlocatable claim is labeled unverified, its confidence is downgraded, and the abstention is recorded instead of a guess.
- Everything carries a timestamp and an evidence status: what was checked, when, and against which source.
- Every market price we cite lands in a forward-committed public record and is graded against how reality resolved. Time is the air-gap: the sensor's reading is logged before the outcome exists, so the grade cannot be back-filled. Ad-hoc synthesis has no record at all.
- Every asker reads the same maintained record. Two agents asking the same question get the same state, not two different improvisations.
- Corrections are published, never silently edited. The record shows what we got wrong and when we fixed it.
We may not be for you. If a wrong or stale answer costs you nothing, free search or a general-purpose chat model is the right tool, and we will say so. If staleness or error has a price (a filing, a shipment, a trade, a briefing someone acts on), a source-traced, verified, graded answer is the cheapest item in the decision path.
30-day current-state pilot
Give one machine a world to keep current.
Choose the system, its responsibility and the changes that matter. SigB maintains that bounded world and delivers the evidence into the workflow.
- One defined machine and human owner
- Bounded entity, event and source universe
- Live system delivery and human inspection surface
- Written freshness, relevance and evidence tests
Proof before purchase: inspect a live record and the maintained record first.
Your concern, on watch
Name what you’re responsible for. We’ll re-read it from the record on a schedule.
Track a topic
Building an agent instead? Start at the machine front door — endpoint, tools and prices — or read the full API docs.