• Foundations and Principles — core design goals, risk taxonomy, and product‑level tradeoffs.
• UX Patterns and Components — entry affordances, suggestion chips, editable drafts, provenance badges, and memory manager UI.
• Error Handling and Fallbacks — transient vs systemic failures, graceful degradation, retry rules, and user‑facing recovery actions.
• Personalization Strategy — tiered memory model, opt‑in flows, transparency controls, and measurement plans.
• Safety and Guardrails — layered protections, human‑in‑the‑loop workflows, monitoring, and incident playbooks.
• Multimodal Design — modality matching, context bridging, consent, and accessibility patterns.
• Model Selection and Fine‑Tuning — task→model mapping, SFT/RLHF/LoRA guidance, evaluation, and rollback criteria.
• Performance and Latency — TTFT targets, caching, routing, streaming UX, and tail‑latency mitigation.
• Metrics and Experimentation — 3–7 outcome metrics, A/B testing, canaries, and experiment registry.
• Monitoring and Observability — end‑to‑end traces, SLOs, synthetic canaries, and failure corpus.
• Deployment and Rollout — pilot→canary→scale playbook, CI/CD for prompts and models, and rollback triggers.
• Human Oversight and Governance — roles, runtime policy enforcement, reviewer UI, and audit trails.
• Legal and Compliance — data minimization, consent flows, explainability, and policy‑as‑code.
• Partnerships and Ecosystem — partner types, outcome‑based contracts, shared telemetry, and risk controls.
• Operational Checklists — preflight, pilot, canary, and scale checklists with concrete gates and metrics.

Each chapter includes practical checklists, example UI snippets, and playbook templates you can apply immediately.