Prompt Kit
Apple Isn't Building a Chatbot. They're Building the Agentic Runtime. Prompt Kit
Prompt Kit: Apple's Agentic Runtime — Position Before WWDC
This kit turns the strategic analysis of Apple's agentic OS play into direct action for the four groups who need to move before June 8: iOS developers, SaaS/MCP builders, product and engineering leaders, and knowledge workers. Each prompt identifies your specific lane, gathers your context, and delivers a concrete plan tied to the WWDC timeline.
How to use this kit
Pick the prompt that matches your role. These are not sequential — each one is standalone and designed for a specific cohort. If you wear multiple hats (e.g., you're a product leader who also writes code), run the prompts that apply to both roles. Each prompt will ask you to define your situation upfront so the output maps directly to what you need to do in the next ten weeks. Run these in ChatGPT, Claude, or Gemini — any capable model will handle them well.
Prompt 1: App Intents Implementation Sprint Plan
Job: Produces a prioritized, week-by-week plan for implementing App Intents in your iOS app before WWDC on June 8.
When to use: You build or maintain an iOS app and haven't fully adopted App Intents — or you've started but haven't covered your most important user actions. The window before Apple's demos set user expectations is closing fast.
What you'll get: A domain-mapped audit of which App Intents apply to your app, a ranked list of your highest-value actions to expose first, a 10-week sprint plan with specific implementation milestones, and a competitive risk assessment of what happens if you don't ship before fall.
What the AI will ask you: What your app does, your current App Intents and Siri/Shortcuts adoption status, your top user actions, your team size, and which Apple platforms you support.
Prompt 2: MCP-to-Apple Distribution Strategy
Job: Maps your product's capabilities to the MCP-through-Apple opportunity — where your existing or planned MCP server integration could gain free distribution to every AI agent on 1.5 billion Apple devices via the OS-level orchestration layer.
When to use: You build a SaaS product or developer tool and are either already building MCP server support or evaluating it. Apple's system-level MCP integration means your investment could yield iPhone and Mac distribution at near-zero marginal cost — but only if you structure your capabilities correctly.
What you'll get: A capability-to-intent mapping, an architecture assessment of what Apple's MCP integration means for your existing server, a prioritized build plan for maximum Apple-platform distribution, and a comparison of your MCP exposure across platforms (Claude, ChatGPT, Gemini, Apple's agentic runtime).
What the AI will ask you: What your product does, your current MCP server status, your API surface, your target users on Apple devices, and which AI platforms you already integrate with.
Prompt 3: Agent-Readiness Scorecard for Product Leaders
Job: Audits your product's top user flows for agent-addressability, scores your competitive exposure, and produces a prioritized 10-week action plan aligned to Apple's WWDC timeline — framed for product and engineering leadership decision-making, not implementation detail.
When to use: You lead product or engineering and need to answer the question: "Can an agent use our app?" before Apple's WWDC demos reset user expectations. This prompt is for strategic prioritization, not writing code.
What you'll get: A scored matrix of your top user flows rated by agent-readiness, a competitive exposure heat map, a leadership-ready brief on the agentic transition's impact on your product, and a 10-week action plan with staffing recommendations.
What the AI will ask you: Your product, platform, top user actions, competitive landscape, current AI features, and team structure.
Prompt 4: Agentic Delegation Skill Builder
Job: Converts your actual daily workflows into agent-ready task descriptions, builds your "delegation reflex" muscle, and creates a personalized practice plan using tools you already have — so you're ready when Apple's agentic Siri ships.
When to use: You're a knowledge worker who uses an iPhone, iPad, or Mac daily and wants to develop the skill of describing outcomes precisely enough that an AI agent can act on them. This is the interaction pattern Apple is building toward: "describe the outcome, let the agent coordinate across apps." The people who build this skill now will have a real advantage when it ships.
What you'll get: A translation of your top daily workflows into agent-ready task descriptions, a practice plan using current tools (ChatGPT, Claude, Shortcuts), a framework for deciding what to delegate vs. do manually, and progressively harder delegation challenges tailored to your actual work.
What the AI will ask you: Your role, your daily workflows, the tools and apps you use most, your Apple devices, your current AI usage level, and the repetitive tasks that consume your time.