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.
Semi-Automating App Store Review Responses with AI — App Store Connect API × Gemini Field Notes
Field notes on building an AI-drafted, human-approved review response pipeline that I run across multiple iOS and Android apps. Includes 50M-download-scale operational lessons, Crashlytics integration patterns, and confidence-threshold tuning that aren't in any official documentation.
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.