• Foundational Architecture — capture, reasoning, action, scheduling, and feedback explained end‑to‑end.
• Canonical Capture Patterns — templates for reliable data ingestion and provenance.
• Reasoning Pipelines — modular stages: filter, summarize, infer, rank with confidence tagging.
• Action Layer Design — suggestions, one‑click actions, and safe write rules.
• Scheduling and Automation — cadence patterns, event triggers, and throttling best practices.
• System Prompt and Personality — versionable prompt templates and tone presets.
• Feedback Loops — fast vs slow update paths, schema for corrections, and active learning tips.
• Safety and Guardrails — input sanitization, tool gating, output validation, and circuit breakers.
• Governance Playbook — roles, policy catalog, change control, and consent flows.
• Reliability and Observability — SLOs, telemetry schema, dashboards, and runbooks.
• Ethics and Responsible Design — privacy defaults, fairness audits, and incident playbooks.
• Deployment and Decommissioning — staged rollouts, rollback plans, and retirement checklist.
• Maintenance Roadmap — cadence, versioning, dependency management, and documentation.
• Measurement and Scaling — leading/lagging metrics, A/B testing, and scaling gates.
• Future Research Directions — multimodal, robustness, human factors, and privacy‑preserving personalization.

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