Discover
Capture observations and candidate signals so potentially relevant information can enter structured attention.
- Observation and signal context
- Explicit transition into investigation
- No automatic truth designation
Capability map
TOYTOCOL connects investigative work without collapsing uncertainty into an automated answer. Each capability supports a visible path from discovery to accountable verification.
Capability families
Status labels describe the approved source boundary. They do not imply autonomous truth, general availability, regulatory certification, or production readiness.
Capture observations and candidate signals so potentially relevant information can enter structured attention.
Create a bounded workspace around a question, participants, evidence, analytical activity, and accountable outcomes.
Persist source material and its relationships so provenance, relevance, support, challenge, and context remain inspectable.
Record bounded conclusions as canonical investigative outcomes with provenance and a governed verification lifecycle.
Separate deterministic structural checks from persistent, human-authored analytical reasoning.
Represent investigation-scoped entities and explicit relationships as nodes and edges for inspection.
Keep human verification decisions separate from analytical confidence and retain a reviewable decision history.
Apply resource-scoped authorization and accountable participation to investigative actions and information.
Establish bounded capability contracts that can support optional extensions without weakening the core.
Connected responsibilities
Discovery establishes context. Investigation governs the work. Evidence and reasoning support a Finding. Verification records the accountable decision. Governance constrains every stage.
Important: the sequence structures human work. It does not automatically transform data into truth.
Ecosystem direction
TOYTOCOL’s platform direction anticipates an ecosystem around its governed core. Every item below is a roadmap direction, not an operational service or current integration.
Documented, bounded ways to build against stable platform capabilities.
Optional domain-focused capability bundles that remain separate from the base experience.
Governed exchange with approved external sources and systems.
Quality and trust criteria for ecosystem contributions.
Controlled collaboration across independently governed environments.
Purpose-built experiences that reuse the platform’s investigation and governance concepts.
Put the capabilities in motion
Aurora shows how evidence, competing hypotheses, a bounded Finding, human Verification, and retained limitations work together.
Try the Aurora demo