• Create an ai-agent service in Docker Compose with scheduled execution
• Connect Gmail and Calendar APIs with minimum required scopes
• Store prompt templates and personal preferences in PocketBase
• Add TTS provider integration and audio output mapping to your speaker device
• Log each run with status, latency, and generated outputs for observability
• Enforce guardrails: no destructive actions without explicit user confirmation

• Planner layer: decides workflow order and fallback strategy
• Tool layer: only executes approved connector calls with scoped permissions
• Knowledge layer: retrieves context from notes, prior posts, and preferences
• Output layer: produces structured JSON plus human-readable briefing text
• Audit layer: stores prompt input, tool calls, result summary, and run status

• Read-only connector scopes for email and calendar during early rollout
• PII redaction before prompt payload is sent to external LLM endpoints
• Allowlist-only tool registry; block arbitrary shell or network calls
• Human approval for outbound actions (send email, post update, modify records)
• Run-level trace ID for every execution to support audit and debugging

• Morning briefing end-to-end latency target: under 90 seconds
• Daily model budget target: keep average run below a fixed token cap
• Failure budget: less than 1 failed run per 30 executions
• Fallback behavior: if a connector fails, produce a partial briefing with visible warnings

Enforce a stable output schema so your UI, audio renderer, and storage pipeline remain predictable.

{
  "runId": "brief-2026-03-09-0630",
  "priorityActions": [
    "Reply to client update request",
    "Prepare architecture review notes",
    "Confirm 4 PM report deadline"
  ],
  "calendarSummary": "2 meetings before noon, 1 deadline at 4 PM",
  "emailSummary": "5 high-priority unread emails",
  "blogDraftIdea": "How to harden AI agents with approval gates",
  "safetyFlags": [],
  "status": "success"
}

1. Days 1-5: set up agent container, scheduler, and read-only connectors (email, calendar, notes)
2. Days 6-10: add RAG context, prompt templates, and structured output validation for stable briefings
3. Days 11-15: enable TTS delivery, add trace logging and alerts, and finalize approval gates before any write action