mirror of
https://github.com/blackboxprogramming/BlackRoad-Operating-System.git
synced 2026-03-17 06:57:17 -05:00
## Domain Architecture - Complete domain-to-service mapping for 16 verified domains - Subdomain architecture for blackroad.systems and blackroad.io - GitHub organization mapping (BlackRoad-OS repos) - Railway service-to-domain configuration - DNS configuration templates for Cloudflare ## Extracted Services ### AIops Service (services/aiops/) - Canary analysis for deployment validation - Config drift detection - Event correlation engine - Auto-remediation with runbook mapping - SLO budget management ### Analytics Service (services/analytics/) - Rule-based anomaly detection with safe expression evaluation - Cohort analysis with multi-metric aggregation - Decision engine with credit budget constraints - Narrative report generation ### Codex Governance (services/codex/) - 82+ governance principles (entries) - Codex Pantheon with 48+ agent archetypes - Manifesto defining ethical framework ## Integration Points - AIops → infra.blackroad.systems (blackroad-os-infra) - Analytics → core.blackroad.systems (blackroad-os-core) - Codex → operator.blackroad.systems (blackroad-os-operator) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
1.7 KiB
1.7 KiB
Codex 5 — The Explainability Doctrine
Fingerprint: 23064887b1469b19fa562e8afdee5e9046bedf99aa9cd7142c35e38f91e6fef2
Principle
No judgment without a reason. No automation without a breadcrumb. If Lucidia acts, the “why” must travel with it.
Non-Negotiables
- Rationale Storage – Every classification, suggestion, or action stores a plain-language rationale string alongside the result.
- One-Click “Why?” – Every UI element derived from AI has a “Why?” link that surfaces its rationale.
- Undo Always – Users can reverse any AI action with a single step; the system preserves prior state.
- Versioned Outputs – When logic changes (model update, rule tweak), outputs are tagged with version IDs. Owners can trace which engine made the call.
- Model Transparency – Publish the high-level model type, training scope, and update date. No hidden, silent swaps.
- Bias Checks – Log and flag patterns of skew (false positives, false negatives, over-representation). Share reports with the dev team weekly.
Implementation Hooks (v0)
- Assignments table stores a non-null rationale field.
- UI adds a “Why?” button that reveals the stored rationale and model version.
/undoendpoint rolls back the last assignment without data loss.- Action logs capture
{action, actor, rationale, model_version, timestamp}. - Model manifest records the type, scope, and update date for each version.
- Bias report recalculates after every assignment and surfaces heuristic flags.
Policy Stub
- Lucidia will never deploy a model update silently.
- Lucidia will never present an AI decision without rationale access.
- Lucidia commits to reversibility as a design law.
Tagline: Every shadow shows its source.