2 items across 1 sections
The autonomous growth system for ScamCheck: quality-gated auto-publishing with a Vertex budget circuit breaker, AI-Overview comparison/entity/trust signals, an E-E-A-T trust layer, automated multi-channel distribution, retention (email alerts + watchlists), a canonical scam-entity data moat, and growth analytics. Includes organic-growth, authority, Discover, and backlink estimates plus the biggest compounding loops — all on a static-first, cost-capped, Vercel-hobby-safe architecture.
How AI Execution Lab runs autonomously on free/hobby plans: model-tier routing, content-addressed caching, semantic deduplication, publish throttling, empty-queue early-exit crons, Firestore read/write minimization via increment counters, and batched embeddings. Includes expensive-operation analysis, scaling bottlenecks, the cheapest viable architecture, and estimated monthly cost ranges.