Aurora Workflow Orchestration (AWO)
The methodology: role-structured, audit-first research with human validation and falsifiability manifests.
AWO RepositoryThe governance, epistemic, and methodological foundation that defines how scientific AI must be conducted across the Aurora ecosystem.
Explore ARIIndependent research organization operating under the Aurora Research Initiative, developing reproducible and falsifiable scientific workflows.
Explore Projects
Waveframe Labs is the operational hub for ARI. We publish the Aurora Workflow Orchestration (AWO) method, ship the CRI-CORE tooling that ensures deterministic execution and verifiable provenance for each workflow run, and apply the stack to frontier research—e.g., Waveframe v4.0 (cosmology) and the Societal Health Simulator.
The methodology: role-structured, audit-first research with human validation and falsifiability manifests.
AWO RepositoryThe tooling layer: deterministic execution and cryptographically verifiable provenance.
CRI-CORE (coming online)Commercialized governance layers for regulated environments (policy packs, hardened pipelines, dashboards).
RoadmapEntropy–action, observer-aware cosmology. Formal derivations and falsifiable predictions.
RepositoryInteractive model for societal and policy dynamics. Built with Streamlit.
Repository Live DemoDocs, logs, governance references.
Org ProfileHand-edited snapshot. For full history, see meta/SITE_LOG.md.
I’m Shawn C. Wright, an independent researcher developing deterministic AI–human workflows and the governance systems that make scientific AI reproducible, auditable, and falsifiableI design the institutional layer (ARI), the methodological layer (AWO), and the execution layer (CRI-CORE) that together form a complete framework for verifiable AI-assisted research. My work spans cosmology, systems science, workflow design, and epistemic governance — with all outputs published openly and reproducibly. Contact: swright@waveframelabs.org · ORCID: 0009-0006-6043-9295
Custom domain: waveframelabs.org.
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