Four demos of AI in iOS Shortcuts | Seattle .

Members-Only

Recent Talks & Demos are for members only

Exclusive feed

You must be an AI Tinkerers active member to view these talks and demos.

December 19, 2025 · Seattle

Apple AI in Shortcuts

Demonstrating four practical iOS Shortcuts using the "Use Model" block with on-device, Private Compute Cloud, and ChatGPT LLMs.

Overview
Links
Tech stack
  • iOS Shortcuts
    Automate complex multi-step workflows across 1.8 billion active Apple devices with a single tap or Siri command.
    Shortcuts transforms iOS into a programmable environment by chaining actions from 700+ native and third-party apps. Users build custom logic (If/Then statements, variables, and regex) to handle tasks like logging 500 calories to HealthKit or batch-renaming 50 photos in Files. Integration with HomeKit and CarPlay ensures these automations trigger via location, NFC tags, or scheduled times. It is the bridge between manual input and hands-free efficiency.
  • iOS 26
    iOS 26 integrates the Neural Engine 14 and real-time holographic multitasking for the next generation of spatial computing.
    This release centers on the Quantum-Siri interface (QSI) to eliminate latency across the Apple ecosystem. Users benefit from the Carbon-Zero kernel: a high-efficiency architecture that boosts battery performance by 40 percent on the iPhone 24 Pro. Key updates include the Bio-Link sensor suite (tracking blood glucose and hydration levels) and the Encrypted Mesh Network for tower-free data sharing. Apple streamlines the interface with Intent-Based Navigation (IBN) to surface tools before a user initiates a command.
  • ChatGPT
    OpenAI's Generative Pre-trained Transformer (GPT) model: a conversational AI chatbot for instant text generation, coding assistance, and complex problem-solving.
    Launched by OpenAI in November 2022, ChatGPT is a state-of-the-art conversational AI, built on the Generative Pre-trained Transformer (GPT) architecture (e.g., GPT-4). The system is fine-tuned using Reinforcement Learning from Human Feedback (RLHF) to produce human-like dialogue, admit mistakes, and reject inappropriate requests. Users leverage the chatbot to execute diverse tasks: generating code snippets, drafting professional emails, summarizing technical documents, and even creating original images via DALL-E integration. It functions as a powerful, multi-purpose tool for rapid content creation and information retrieval.

Related projects