Platform
Aether ™ Domain Architecture Sprint
Architecture Drilldown
Aether Discovery is the developer drilldown for how Aether starts: client inputs are translated into configured modules, reusable artifacts, and the downstream contract for the next three packs.
This page should not repeat the hero-page summary. It is the high-level walkthrough clients use to understand the Workflow Architecture in developer terms: what they bring, what the sprint configures, and what the platform stores for later implementation.
The architecture-first scope matters because Aether Panes, Pack 03, and Pack 04 all depend on the interfaces, correction semantics, and evidence model defined here. The sprint should leave behind technical artifacts, not just workshop notes.
Maps customer inputs into a stable architecture contract
Keeps open-source bootstrap and cloud-connected usage paths distinct
Defines the handoff point into the other Aether child items
Workflow Architecture
Reduced WA chunks
These simplified SVG diagrams intentionally reduce the original map into three clean technical chunks so the developer page stays readable and documentation-first.
Customer inputs and SME seed layer
The sprint starts from customer-supplied source material and the subject-matter decisions that explain how those materials should be interpreted.
- Capture the source inventory that will later feed ingestion and retrieval.
- Bring forward existing taxonomies, ontologies, and naming schemes instead of rebuilding them from scratch.
- Identify the SME checkpoints where review, correction, and escalation semantics are defined.
Sprint activities to configured modules
Workshop outputs are converted into concrete module configuration so the architecture can move from discussion into platform-ready state.
- Ontology workshop and DIO mapping shape registry, schema, and routing boundaries.
- Correction semantics feed evaluation gates, policy seeds, and request-router behavior.
- Workspace state is configured early so later packs inherit a known structure instead of restarting discovery.
Outputs, artifacts, and local data layer
The sprint concludes with explicit artifacts and stored state that downstream teams can use across workflow, learning, and propagation work.
- Export reusable ontology, registry, policy, and workspace artifacts.
- Retain persistent local data-layer state for indexes, policies, audit evidence, evaluations, and workspace configuration.
- Treat those outputs as the implementation handoff set for the other Aether packs.
Usage Paths
What clients should expect in practice
Aeut should explain both how self-directed teams get to speed and how a future managed-service path can stay generic without being underspecified.
Get-to-speed path
Open source scenario
For teams getting started themselves, Aether Discovery behaves like an architecture bootstrap that turns customer domain inputs into a usable local workspace contract.
Inputs
- Source inventory and representative domain artifacts
- Existing taxonomies or ontology fragments worth preserving
- Named SME owners for review-state and correction decisions
What gets configured
- Load ontology or taxonomy seeds into the local registry path.
- Configure DIO mapping, request transforms, and correction-routing rules.
- Scaffold the workspace state that later expert-console and learning work will reuse.
Expected outcome
- A local architecture starter set with registry, policy, and workspace structure
- Clear criteria for when the team is ready to move into Packs 02, 03, and 04
- A high-level walkthrough that engineers can use without depending on the platform hero page
Generic CLI-to-cloud path
Platform as a Service scenario
For cloud-connected usage, the CLI client should be able to link a workspace, submit sprint inputs, and pull back evidence and generated artifacts from a managed control surface.
Inputs
- The same customer source inventory and SME decisions as the open-source path
- A local CLI environment and workspace identity for the managed surface
- An agreed boundary between local files and remote execution payloads
What gets configured
- Link the CLI client to a remote workspace.
- Submit architecture inputs and execute the sprint through a hosted control path.
- Retrieve evidence bundles, generated artifacts, and workspace snapshots after the run.
Expected outcome
- A generic remote execution pattern that does not overcommit to a final cloud contract yet
- Returned artifacts and evaluation evidence that mirror the open-source outputs
- A placeholder integration shape for future auth, sync, and policy controls
Outputs
Expected artifacts and stored state
Aether Discovery should leave the client with explicit technical outputs that can be handed to the next Aether packs.
.owl
Ontology seed
A domain ontology or taxonomy-alignment artifact that anchors the architecture.
.json
Registry and routing state
Structured schema, DIO mapping, and request-routing configuration exported from the sprint.
.yaml
Workspace and policy config
Config defining workspace structure, policy seed rules, and evaluation hooks.
.ttl / .md
Graph and roadmap notes
Graph-friendly exports and implementation notes covering sign-off, evidence, and next-pack handoff.
Handoff
How Aeut feeds Packs 02–04
The four Aether child items should read as one sequence. Aether Discovery defines the architecture contract; the remaining packs implement workflow, local learning, and trusted propagation on top of that contract.
Expert Console Pack
Uses the Aether Discovery review states, decision surfaces, and workspace structure to build expert-native workflow panels.
Local Learning Enablement
Uses the Aether Discovery correction semantics, evaluation hooks, and evidence model to govern local adaptation.
Knowledge Delta Mesh
Uses the Aether Discovery artifact structure and the later learning outputs to package trusted propagation between nodes.