Personal Project · 2023-11-20
DayBrief
AI-generated daily briefing that combines personal signals (calendar, tasks, email) with external context (weather, news) into one action-oriented summary.
Problem
People start the day across five or more apps before they can prioritise. Operations teams face the same fragmentation — calendar, inbox, task queues, and external signals live in separate systems.
Who it serves
Knowledge workers and operations leads who need a single, scannable daily brief instead of context-switching across productivity tools.
Ownership
Integration design, prompt engineering, orchestration scheduling, delivery channels, and output schema consistency.
Architecture
- Personal context collection — events, priority emails, and due tasks from connected services
- External signals — weather and headline sources based on location and preferences
- Structured brief generation — LLM converts raw feeds into concise, ranked bullet points
- Multi-channel delivery — Telegram, Slack, or email on a scheduled cadence
Technologies
Google and Microsoft API integrations · LLM prompt templates · scheduled orchestration with retry-safe runs · structured output schema
Constraints
- API rate limits and token costs must be managed per run
- Output must stay consistent and scannable — not a wall of unstructured text
- Delivery failures on one channel should not block other channels
Outcome
Reduced context-switching and faster daily planning. The same architecture pattern is valuable for operations teams that need fast triage and daily priority alignment.
Related services
AI applications · workflow automation · API integration · data analytics