Implementation Plan
Better Way Health's data lives across 18+ platforms. No single person can answer cross-functional questions without pulling reports from multiple tools. ScrappyLabs will build a modular, AI-powered Business Operating System that unifies everything into one intelligent layer.
The core thesis: One unified data layer. Multiple specialized AI agents drawing from it. A Progressive Web App as the interface. Built on Supabase + FastAPI + React PWA with a model-agnostic AI layer (Claude Opus, GPT-5.2, Haiku — selectable per use case).
12-week MVP timeline with milestone-based delivery.
Four modules, each drawing from the same unified data layer. Modules 1–3 ship in the 12-week MVP. Module 4 follows as a separate engagement.
Clean separation of concerns. The frontend talks to one API gateway. The gateway routes to agents or modules. Everything reads from and writes to Supabase.
Every data source follows the same four-method pattern: Configure, Validate, Schema, Sync. Build the pipeline once, add connectors by filling in the template.
| Source | Priority | Sync Mode | Auth | Volume |
|---|---|---|---|---|
| Zendesk (tickets) | HIGH | Near-RT webhook | API token | 600+/day |
| Fathom | HIGH | Near-RT webhook | API key | 150 calls/week |
| PubMed | HIGH | On-demand | Free | 1,000+ docs |
| Shopify | HIGH | Daily batch | Access token | 5K orders/mo |
| Recharge | HIGH | Daily batch | API token | 9K subs |
| Zoom | MEDIUM | Post-event | Server OAuth | 4/month |
| Klaviyo | MEDIUM | Daily batch | API key | 100K list |
| Everflow | LOW | Daily batch | API key | 300 affiliates |
| Amazon SP-API | LOW (defer) | Daily batch | Complex | 11 ASINs |
Twelve weeks from start to soft launch. Three phases, each with a milestone payment. Weekly demos every Friday.
We're not starting from zero. Every major component BWH needs maps to production infrastructure we already operate.
scrappylabsai/bwh-bos (private). Adrian gets access Day 1.To start building on Day 1, we'll need the following. Sandbox or test credentials are preferred — we can work with production access if that's easier.