When Your Finance App's AI Keeps Dumping Everything Into 'Other' — Field Notes on Catching Silent Classification Drift
An AI expense classifier in a Rork finance app can be accurate at launch and quietly decay over months until the monthly advice goes wrong. Here is how I instrumented confidence and category distribution to get ahead of the drift, with working code.
Pushing Rork Max's AI Beyond Vibe Coding — Patterns That Actually Improve Implementation Quality
A deep-dive on using Rork Max as an implementation partner: prompt patterns, context management, choosing between plain Rork and Rork Max, building without burning credits, and verifying AI-written native code before App Store submission — drawn from solo indie experience.
Where to Stop Letting Rork Fix Your Bugs: A Triage Routine for the 30% That Need You
Most bugs you hand Rork get fixed in a couple of regenerations. A stubborn minority loop forever, each fix spawning a new symptom. Here is the triage routine I use to split what to delegate from what to take over by hand, with retreat lines, regression guards, and a decision log.
A Prompt Design Guide for Getting Production-Ready UI from Rork's AI
Learn how Rork's AI interprets prompts and how to craft them so that forms, lists, and cards come out the way you actually intended — with less manual cleanup afterward.
Build an AI-Powered Certification Exam App with Rork: Adaptive Learning That Targets Your Weak Spots
Build a certification exam prep app with Rork and Gemini API. Learn to implement adaptive quiz logic, AI-driven weakness analysis, and Supabase-backed progress tracking — from first prompt to App Store.
Rork Max AI × SwiftUI: 4 Patterns to Polish Generated Code into Pro-Quality UX
Rork Max generates solid SwiftUI code fast — but there's a gap between 'it works' and 'it feels premium.' Here are 4 implementation patterns to bridge that gap: skeleton UI, meaningful transitions, human-readable error states, and haptics.
Writing Prompts for Complex Screens in Rork Max
How to write Rork Max prompts that reliably generate complex screens like dashboards, filtered lists, and validated forms — covering role context, data types, UI spec, and iterative refinement.
Building an AI-Powered Photo Organizer App with Rork — A Complete Implementation Guide Using Vision, CLIP, and pgvector
A complete implementation guide for building an AI-powered photo organizer app with Rork. Extract faces, objects, and text with the Vision framework, generate semantic embeddings with CLIP, and run similarity search at scale using Supabase pgvector — designed as a production pipeline from day one.
Use Apple FoundationModels in Rork — A Practical Guide to On-Device LLM Apps That Keep Working Offline
Call Apple's FoundationModels framework from a Rork-generated SwiftUI app to add AI features that keep working offline. Covers text generation, streaming, structured output via @Generable, and tool calling — all with full Swift code and production-ready error handling.
How Rork Max's SwiftUI Generation Talks to Its AI Layer — 7 Prompt Patterns That Shift Output Quality
Rork Max's SwiftUI generation and its AI capabilities are not two separate features — they share the same underlying model. Here are 7 prompt patterns I rely on to nudge the same model toward production-ready output, with before-and-after SwiftUI examples.
Building an AI Reading Assistant App with Rork — Bookshelf Scanning, Progress Tracking, and Chapter Summaries
A complete guide to building a reading app on Rork that scans your bookshelf with a photo, tracks progress per chapter, and generates personal AI summaries and reflective questions with Claude — including monetization design.
Building Your First AI App Without Code — What 5 Days with Rork Actually Taught Me
No-code AI app development sounds easy — until you try it. Here's what 5 days of seriously using Rork revealed about the real first steps, the walls you'll hit, and how to get past them.