· XingAI Meal Coach AI
Meal AI: Worker + Cache for Health-Aware Meal Planning
Meal AI is the health domain of XingAI — nutrition planning, meal recommendations, and caregiver support for family members with specific health conditions.
sqlite
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· XingAI Invest AI
Saved Preferences Are Not Decisions: Tracking Stocks Without Breaking the Worker Boundary
A financial decision system has two very different kinds of state:
· Research AI
SQLite CQRS for Research AI: Same Keys, Same Fly Volume
We did not invent a new cache story for Research AI. We copied Invest AI’s one writer, many readers SQLite pattern and renamed the keys.
· Research AI
Three Live Runs a Day: Research AI Free Tier on Top of Cache
Anonymous users get 3 live AI researches per rolling 24 hours. Cached topics — including trending chips — do not count.
· Research AI
Shipping Research AI: Vercel for UI, Fly for Worker + SQLite
Research AI reuses the Invest AI deployment shape:
· InvestSim / invest-performance-sim (private)
Splitting the Paper Lab: Why InvestSim Lives in Its Own Repo
[Invest AI](https://xingai.app/apps/invest-ai) answers “what does today look like?” — signals, dashboard context, and (eventually) richer decision surfaces. A different question…
· XingAI Invest AI
Treating LLM Output Like Cache Rows (Planned): Worker-Owned Inference
This post documents a decision we accepted, not something already running in production. It belongs in the same story as our CQRS market cache: derived data should have one writer.
· XingAI Invest AI
Capping Free-Tier AI Calls Without Slowing Down Development
Three endpoints burn real tokens on every hit:
· XingAI Invest AI
CQRS with SQLite: One Writer, Many Readers, No Drama
Market dashboards want fresh data. Upstream APIs want low call volume. Users want sub-200ms first paint.