Deterministic research
Source jobs succeeded in the current agency prospect research run.
Spark readback / 2026-07-12
This page separates the substrate that answered today from the runtime behavior that still requires migration, activation, and a production canary.
Observed on Spark
The numbers below are point-in-time observations from the Spark working environment. They are not customer counts, uptime promises, certification claims, or proof that the hardened deterministic execution kernel is production-live.
Source jobs succeeded in the current agency prospect research run.
Research receipts were admitted for runtime review.
Live readback found 39 projects and 147 project events.
Deterministic execution kernel migrations 213 and later are not activated.
research.plan source_jobs=16
research.batch succeeded=16 failed=0
runtime.review consumable_receipts=8
projects.readback projects=39 events=147
kernel.migrations 213_plus=not_activated
claim.boundary runtime_review_onlyWhat this supports
The source plan completed all 16 jobs and produced eight consumable receipts.
Project and event rows exist as durable coordination state on Spark.
The public offer remains supervised while kernel hardening and activation are incomplete.
Not claimed
Migrations 213 and later still separate the current substrate from the hardened deterministic execution architecture. A migration alone will not prove the cutover; a scoped deployment, behavioral verifier, and external canary are still required.
For that reason, the founding offer is a supervised design-partner implementation with explicit human approval and technical acceptance.
The launch evidence standard
Name the workflow, authority boundary, inputs, outputs, and observable acceptance predicates.
Run the bound workflow against the approved systems, not a mock or presentation path.
Compare observed behavior with the predicate before the technical balance is due.