Cutting App Store Review Replies From 32 Minutes a Day to 8 — App Store Connect API × Gemini × Cloudflare Workers in Production
Field notes on an AI-drafted, human-approved review reply pipeline: why 0.85 became my confidence threshold, JWT clock-skew workarounds, and Crashlytics-driven reply branching, with three months of measured numbers.
Designing Multimodal Rork Apps in the Era of Gemma 4 and Nemotron 3 Nano Omni
With open multimodal models like Gemma 4 and Nemotron 3 Nano Omni now realistic at the edge, Rork apps are being asked to integrate image, audio, and text experiences. Here are seven design patterns, an API selection framework, cost optimization, and the UX traps to avoid.
to AI Feature QA in Rork Apps 2026— Prompt Regression Testing, Hallucination Detection, and CI/CD Integration
A complete guide to testing and quality assurance for AI features (Claude/Gemini API) in Rork apps. Covers prompt regression testing, hallucination detection, CI/CD integration, and continuous improvement patterns for production AI systems.
Building an Intelligent Assistant App with Rork × AI Function Calling — Context Management, Tool Integration & Conversation Memory Patterns
A comprehensive advanced guide to building production-grade AI assistant apps with Rork using Function Calling, conversation memory, dynamic tool selection, and resilient error handling.
RAG with Rork — Building Knowledge-Powered AI Chat into Your Mobile App
Learn how to implement RAG (Retrieval-Augmented Generation) in a mobile app built with Rork. This guide covers the full pipeline using Supabase pgvector and Gemini API to build production-ready AI chat.