ReplyMagic
Multi-tenant SaaS that connects to Instagram Business accounts, monitors incoming comments in real-time, and generates brand-voice-aware replies.
ZipLyne built the entire platform on Cloudflare — Workers, D1, KV, R2 — with an 8-layer spam gate that classifies every comment before spending a single AI credit. Each merchant gets an isolated brand profile; replies either auto-send or queue for human review.
Every layer, from scratch.
Bot detection → keyword filter → language detection → sentiment pre-screen → rate limit → block-list → pattern match → confidence threshold. Every comment classified before touching the LLM.
Merchants paste examples of their ideal replies. The system extracts tone, style rules, and vocabulary constraints — embedded into every generation prompt. Replies sound like the brand, not a bot.
High-confidence comments fire immediately. Edge cases route to a human approval queue. Merchants set their own confidence threshold per campaign — full control without manual overhead.
Each merchant has isolated D1 tables, separate KV namespaces, and a separate brand profile. Workers, D1 (SQLite), KV (session/cache), R2 (media) — zero external infrastructure.
How the AI works.
Fast, cheap reply generation. Brand voice system prompt injected on every call. Falls back to secondary model automatically on rate-limit.
Rule-based layers run before any LLM call. Only comments that pass all 8 gates consume AI credits — keeps cost-per-reply low at scale.
Reply volume, approval rate, spam catch rate, cost per reply — surfaced per merchant in real-time. Know exactly what the system is doing and what it costs.
What it runs on.
Need a multi-tenant SaaS
built on Cloudflare?
We've done it. Workers, D1, KV, R2 — the whole stack. Tell us what you're building.
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