OperatorWorks should build the trusted local wedge, prove reviewer-grade value, and expand only when technical evidence and real user demand support the next layer.
Dates can guide planning, but release and expansion claims should be controlled by evidence: correctness, replayability, user value, security readiness, pricing proof, and demand.
Harden OperatorEngine, improve Workbench installation and launch, execute notebooks cleanly, strengthen Verify outcomes, standardize Evidence Bundles, and make DataGen records schema-valid and provenance-rich.
Package Workbench, Verify certificates, Evidence Bundles, benchmark evidence, and selected DataGen samples into coherent review paths for researchers, scientific-AI teams, quantum groups, and enterprise R&D.
Move from technical review to design partnerships, paid pilots, team workflows, and verified data packages without becoming services-led or overstating readiness.
Add selected Materials or QIT workflows, local API/batch contracts, team governance, security maturity, and enterprise controls only where recurring user pain and product fit are established.
Consider hosted Cloud/API, batch execution, reusable workflow registries, certificate libraries, corpus governance, and marketplace-style distribution after local patterns and reusable assets are proven.
Each future product requires a specific proof threshold before it should be presented as implemented, validated, or commercially ready.
| Layer | Build or expansion trigger | Public-claims boundary |
|---|---|---|
| OperatorEngine | Always P0: correctness, determinism, rewrite safety, canonicalization, and support-boundary depth. | Describe only the identities, operator families, and workflows directly evidenced. |
| OperatorWorkbench | Clean install, reliable launch, useful first derivation, notebook replay, repair paths, and evidence export. | No beta, production, or broad compatibility claim until separately validated. |
| Operator Verify | Certificate schema, assumption capture, replay, complete outcome taxonomy, and reviewer comprehension. | Do not use a generic “verified” label without scope and proof context. |
| Operator DataGen | Official generation contract, verified records, duplicate controls, provenance, quality reports, and buyer-defined utility. | Sample-supported records are not a public production corpus or hosted data API. |
| Benchmark Suite | Fair methods, stable environments, reproducible runs, real buyer workflows, and disclosed limitations. | No superiority language before benchmark evidence supports it. |
| Materials / QIT packs | Core-engine depth, 5–10 validated workflows, expert review, benchmark candidates, and design-partner pull. | Domain interest or prototypes are not product availability. |
| Transformation Advisor | Repeatable rule-verification workflows emerge from interviews and productized infrastructure—not bespoke consulting. | Keep as a future solution concept until validated. |
| Cloud/API + Batch | Local repeatability, structured contracts, security readiness, privacy controls, pricing proof, and buyer demand. | No “hosted,” “API available,” or “production cloud” claim before shipping evidence exists. |
| Platform / Marketplace | Reusable workflows, corpora, certificates, templates, governance demand, and repeated multi-party use. | Platform is a long-term option, not a near-term identity. |
The economic model is not hype-first. Technical truth creates trust; trust creates repeat use; repeat use creates durable customer and company value.