Outwards Days — make a little room for outside

Описание и применение

Outwards Days использует локальный ИИ и детерминированный планировщик для подбора коротких прогулок в загруженный график пользователя.

Задача

Busy schedules make it hard to find realistic reasons to go outside.

Результат

Outwards Days successfully integrates local AI inference with deterministic scheduling to provide realistic, time‑budgeted outdoor suggestions for busy users.

Рабочий процесс

• 1. User inputs schedule, preferences, and travel limits into the app.
• 2. The Mastra workflow gathers calendar, weather, place, and history context.
• 3. Gemma 4 E2B (via Ollama) proposes personalized outdoor activities.
• 4. Code validates suggestions against free intervals, daylight, weather, and activity frequency.
• 5. If validation fails, the workflow attempts a repair or falls back to a basic catalogue.
• 6. User reviews the generated week, accepts or moves outings, and records what actually happened.
• 7. Completed plans are synced idempotently to the server for future use.

Доказательства

Outwards Days helps someone with a crowded week find a realistic reason to go outside.

Источник

It starts with their actual schedule: work, busy blocks, lunch gaps, preferred times, travel limits, and the days they really have free.

Источник

A Mastra workflow gathers schedule, weather, place, and bounded history context, then asks Gemma 4 E2B through Ollama to choose and personalize eligible outdoor activities.

Источник

The model does not get to decide whether a suggestion fits. Code calculates the free intervals, travel allowance, duration, daylight, weather limits, and activity frequency.

Источник

I recorded a small, five-case local evaluation with gemma4:e2b. Three cases attempted inference: two produced validated Gemma plans in 2.390 and 13.429 seconds, and one used the labelled basic fallback after two rejected attempts.

Источник