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## 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>
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Codex 21 — Conformal Risk Control — Errors You Can Budget
Fingerprint: 23064887b1469b19fa562e8afdee5e9046bedf99aa9cd7142c35e38f91e6fef2
Aim
Guarantee bounded error rates online without assuming a stationary data distribution.
Core
- Define a nonconformity measure (s(x)) and maintain a threshold (q_\alpha) such that (\Pr(s(x_{\text{new}}) \le q_\alpha) \ge 1 - \alpha).
- Abstain or defer decisions when (s(x) > q_\alpha) to keep risk within budget.
- Continuously recalibrate thresholds on sliding windows to track drift.
Runbook
- Calibrate nonconformity scores over a recent window and maintain online quantiles.
- Gate automated actions on conformal acceptance; route abstentions to human or slower control paths.
- Recalibrate thresholds upon drift alarms or when error audits exceed tolerances.
Telemetry
- Empirical error rates versus target (\alpha).
- Abstain rates and downstream resolution times.
- Calibration lag and drift detection statistics.
Failsafes
- Increase abstention thresholds when observed error rises.
- Require secondary model agreement or manual oversight before resuming automatic decisions.
Tagline: Confidence with math-backed brakes.