Skip to main content

AI Pro tier · $199 once

Everything in AI Pro, explained.

Pick AI Pro if your app's core is AI. It's the Standard stack plus working cloud and on-device AI, AI-generated UI, and the Wire RN dynamic onboarding integration, pre-integrated. Here's everything in the box and why it matters.

See it running

The onboarding you get, running in a real app

Morrow Self runs the exact AI Pro stack. Watch its dynamic onboarding build a plan from a short conversation, rendered natively by Wire AI.

Morrow Self dynamic onboarding: the AI holds a short conversation, then renders a personalized plan natively through Wire AI

The AI features, on screen

Four AI features, four real screens

AI provider settings screen showing cloud model options, Gemini and OpenAI.

Gemini and OpenAI

Pick the provider per task. The routing is already wired.

On-device model screen showing a local LLM running via llama.rn.

A local model via llama.rn

Run GGUF models offline. No round trip, no server bill.

Multimodal analyser screen with audio, image, and video inputs.

Audio, image, and video

One analyser screen that reads more than text.

Dynamic onboarding screen generated by the LLM and rendered natively through the Wire AI gen-UI SDK.

Rendered by Wire AI

The LLM builds the plan. Wire AI renders it as native components.

Everything in Standard, plus five AI features

AI Pro is the full Standard stack (paywall, Supabase, Firebase, offline-first, gamification, U-AMOS 2.0) with five working AI features on top: cloud LLMs, an on-device LLM, a multimodal analyser, AI-generated UI, and dynamic onboarding. 17 feature modules total, 70+ UI components.

Cloud LLMs: Gemini and OpenAI

Direct REST clients for both providers, no SDK weight in your bundle. The clients live in the gen-ui feature with typed request and response handling, ready to swap your keys in. Honest scope note: Claude is not integrated; it is Gemini and OpenAI on cloud.

On-device LLM with llama.rn

GGUF model inference that runs fully offline, with a model-download UI that shows progress. Users pick cloud or on-device in Settings and the preference persists in Redux plus MMKV. Privacy-sensitive apps get local inference without you building the plumbing.

Multimodal analyser: audio, image, video

Three analysers with their prompt sets: speech and sound recognition for audio, visual understanding for images (analysis, not generation), and frame-by-frame video analysis. The input and result screens ship ready to restyle.

AI-generated UI

The model returns JSON, the app renders real React Native screens from it through a component registry with Zod schema validation. Use it for AI-generated questionnaires and personalized plans. This is the pattern behind the dynamic onboarding below.

Dynamic onboarding, powered by Wire RN

The Wire RN gen-UI SDK ships pre-integrated. It provides the native rendering rail for dynamic onboarding and generated screens.

The AI Hub

One AI bottom tab consolidates GenUI, the analyser, and dynamic onboarding behind a drawer. Six production-ready AI screens total: analyser input and result, daily check-in, GenUI demo, generated plan, and LLM choice.

Hardening extras over Standard

Firebase App Check for backend abuse protection, trial-expiry warning notifications at T-24h, and a referral and share system on top of the leaderboard.

What it costs

$199 once after access is confirmed. Build unlimited AI projects with it.