Model surface discipline
Public users route through the approved Anthropic model surface. Dormant/internal models remain documented instead of leaking into public UX.
AI-lab diligence
FictionOS has the shape of a production system, not a demo wrapper.
The public technical story should be safe but serious: typed model registry, pipeline registry, contract tests, Zod boundaries, cost telemetry, monitors, rollback flags, release gates, and no-paid smoke coverage.
Registry
Pipeline execution
Registry execution defaults to on with explicit rollback modes.
Monitors
Online proof
Health, API, UI, alert-drill, and optional paid canary monitors.
Contracts
Regression fences
Contract and user-path smoke suites guard critical behavior.
Public-safe architecture map
1
Model resolver
2
Pipeline registry
3
Zod contracts
4
Cost telemetry
5
Online monitors
Known limit: public diligence pages describe architecture posture, not private source code, secrets, internal admin data, or a claim that every future release is risk-free.
Pipeline registry
Chapter execution is registry-driven by default with explicit rollback modes. Public copy should not expose internals, but labs/acquirers should see operational maturity.
Validation and telemetry
LLM JSON/object outputs are progressively Zod-validated, billed attempts are persisted, and cost/cache telemetry exists to find drift.
Release hygiene
The product has release notes, changelogs, monitor scripts, alert drills, smoke manifests, and production health/version checks.
This page must stay public-safe: no secrets, no private project data, no admin tokens, no internal operational URLs that create security risk.