Where the Kami Still Walk
Ancient Japanese village at night, quiet and empty, deeply spiritual atmosphere. Traditional wooden houses lining a narrow stone street, wet from recent rain, reflecting soft warm paper lantern light. Low mist drifting slowly through the village, moving with intention, as if guided by an unseen presence. Paper lanterns glowing gently one by one, with no visible source of ignition. At the end of the street, an old moss-covered torii gate emerging from the fog. Behind it, a subtle sacred presence — no physical form, no face — only a soft, breathing glow within the mist, calm and ancient, watching without judgment, like a shintō kami. An old tree beside the path wrapped with a weathered shimenawa rope. Shide paper streamers moving slightly despite the still air. Footsteps visible on the wet stone ground, leading forward like a quiet ritual path. Mood of reverence, silence, and timelessness. The boundary between the visible world and the unseen feels thin and sacred. Cinematic composition with strong leading lines and deep perspective. Volumetric fog, soft natural light diffusion. Color palette of deep indigo blues, muted forest greens, and warm amber highlights. Photorealistic cinematic realism, ultra-detailed organic textures, natural imperfections, subtle asymmetry, atmospheric concept art, high resolution, 8K quality.
Negative prompt: anime, cartoon, illustration, horror, aggressive mood, monsters, demons, jump scare, modern buildings, neon lights, cyberpunk, city elements, text, watermark, logo, characters in foreground, sharp artificial lighting, oversaturated colors
Cold Start Safe Architecture
Act as a Senior Expo + Supabase Architect.
Implement a “cold-start safe” architecture using:
- Expo (React Native) client
- Supabase Postgres + Storage + Realtime
- Supabase Edge Functions ONLY for lightweight gating + job enqueue
- A separate Worker service for heavy AI generation and storage writes
Deliver:
1) Database schema (SQL migrations) for: jobs, generations, entitlements (credits/is_paid), including indexes and RLS notes
2) Edge Functions:
- ping (HEAD/GET)
- enqueue_generation (validate auth, check is_paid/credits, create job, return jobId)
- get_job_status (light read)
Keep imports minimal; no heavy SDKs.
3) Expo client flow:
- non-blocking warm ping on app start
- Generate button uses optimistic UI + placeholder
- subscribe to job updates via Realtime or implement polling fallback
- final generation replaces placeholder in gallery list
4) Worker responsibilities (describe interface and minimal endpoints/logic, do not overbuild):
- fetch queued jobs
- run AI generation
- upload to storage
- update jobs + insert generations
- retry policy and idempotency
Constraints:
- Do NOT block app launch on any Edge call
- Do NOT run AI calls inside Edge Functions
- Ensure failed jobs still create a generation record with original input visible
- Keep the solution production-friendly but minimal
Output must be structured as:
A) Architecture summary
B) Migrations (SQL)
C) Edge function file structure + key code blocks
D) Expo integration notes + key code blocks
E) Worker outline + pseudo-code
