Gemini API × Cloudflare D1: A Zero-Cold-Start AI Backend Under $10/Month — Implementation Notes
Build a zero-cold-start, globally distributed AI backend with Cloudflare Workers + D1 (edge SQLite) and Gemini API — conversation history, rate limiting, post-stream write latency, and a real $8.50/month cost breakdown, from a deployment I actually operate.
Gemini API Streaming Works Locally but Buffers in Production — Fixing Cloud Run, Vercel, and Cloudflare
Streaming responses flow token-by-token in local dev, then arrive as one big blob in production. A walkthrough of the five most common causes — Cloud Run timeouts, Vercel runtime mismatch, Cloudflare Workers proxying, server-side text() pitfalls, and client-side decoding — with the fixes I use across Dolice Labs.
Building a Fully Edge RAG with Gemini API and Cloudflare Vectorize: A Production Guide for Low Latency, Low Cost, Global Delivery
Combine Gemini Embedding with Cloudflare Vectorize to ship a production RAG that runs entirely inside the Workers runtime — global latency, predictable cost, and a defensive layer covering subrequest limits, retries, and tenant isolation.
Building Stateful AI Agents with Gemini API and Cloudflare Durable Objects — A
A complete production guide to building a stateful AI agent that remembers conversation history, using Cloudflare Durable Objects, WebSocket Hibernation, and the Gemini API streaming endpoint.