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Reliability Surfaces

G6 is built for agent self-training, harness engineering, and agent reliability. The public rule is simple: components are harnesses. Each harness carries a contract, evidence, checks, and runtime behavior.

That model is what lets G6 bridge today's AI systems to economically useful AI-enhanced work that is safe, compliant, and quality assured without pretending the system is more certain than it is.

Shared envelope

Every user-facing harness result should expose the same reliability envelope, regardless of surface:

Surface Reliability entry point Expected behavior
GUI Reliability dashboard, recent reliability feed, Job Workbench, Run state, result cards Show completion state, warning card, evidence, recovery action, and request IDs when provided.
TUI/CLI Result viewer, reliability tab, g6 envelope ... commands Show the same envelope without relying on color alone.
REST JSON task responses and reliability endpoints Preserve request IDs, completion state, warning card, and evidence fields for logs.
MCP Harness tool result payloads Return envelopes with user-facing harness output; infrastructure-only tools may be exempt.

The canonical completion states are verified_ready, qualified_draft, and blocked_escalated. Marketing copy may render them as verified, qualified-draft, and blocked-escalated, but the meaning must stay the same.

Symbolic metamodel language

The symbolic metamodel and corpus language is evidence-qualified. It can be discussed as a documented research finding or hypothesis when the page names the evidence and limitations. It must not be written as an unsupported training claim.

Acceptable copy says what was observed, which harness produced the observation, and what remains unproven. Unacceptable copy claims that a model was trained on an open-web 10GB corpus unless the page cites the provenance artifact that supports that statement.

  • Repository reliability docs: docs/reliability/universal-envelope.md, docs/reliability/self-learning-guide.md, and docs/reliability/gui-walkthrough.md
  • Principles
  • Harness contract