Everything you'd like to know before you cook

Curious Kitchen is a one-day, in-person workshop in Sydney where you learn the craft of building software with an AI agent — no engineering background required. Everyone ships a working, deployed app by end of day.

Your ticket is also a membership: participants get access to the club, extra resources in the Pantry, and full documentation of the workshop material in the Cookbook — a repeatable workflow you can run again on your own ideas.

No coding experience required. The workshop assumes you're non-technical — you don't even have to work in tech. The goal is to learn enough to build your own personal software so you can practise.

Yes — this isn't a tour of Cursor features. It's about the craft of working with an agent: when to plan, when to prototype, when to start fresh, when to ship. Even experienced users tend to skip the moves that make this sustainable, and that's where the workshop spends its time.

Most workshops show you a tool. This one teaches you a craft you can repeat. You'll leave with a deployed app and a process you can run again on your own ideas — without needing to remember any specific feature, API, or framework name.

Everyone builds the recipe app during the workshop (it's our teaching vehicle), but the patterns transfer directly to any AI-first application. You'll leave with mental models you can apply to your own projects.

After the workshop, many participants adapt the starter code and patterns to build their own apps. The community is a great place to share your projects!

Cursor will generate lots of code, but the goal isn't to have AI do everything — it's to understand what's being generated and why. You'll learn to work with the AI as a thought partner, not just a code generator: knowing when to accept AI suggestions, when to modify them, and when to take a different approach entirely.

Getting stuck is part of learning! We've built in several support mechanisms: built-in documentation the AI agent can reference, troubleshooting guides for common issues, instructor support throughout the day, peer support from other participants, and structured verification steps to catch issues early.

The workshop is designed so you can't get too stuck — the AI agent and support materials will help you move forward.

Buy a workshop ticket on the homepage (Stripe checkout). Once payment completes, your email is added to the member list automatically — sign in with a magic link using the same address. Raincheck waitlist sign-ups do not include club access.

The Cookbook is the course — the lessons and recipes you follow, the full documentation of the workshop material. The Pantry is the code: downloadable packages you can drop into your own app or remix into something new.

Yes — we run Curious Kitchen regularly. Join the raincheck list on the homepage (it's free) and we'll email you as soon as the next date is announced.

Yes — this is the biggest thing in your ticket. We rebuild the workshop every two months as the tools, models, and best practices change. Pay once, and every new edition lands in your inbox — fresh starter projects, updated recipes, new AI features — for as long as we're running it. Plus session recaps from each cohort, so you can see what other chefs shipped and steal their ideas.

Any laptop less than 5 years old should work fine. Mac: macOS 10.14 or later. Windows: Windows 10 or later. Linux: any modern distribution. You need at least 8GB RAM, a modern web browser, and the ability to install applications. Stable internet is provided at the venue.

The only paid service is Cursor Pro (~$30 AUD/month), which is required so you have full access to the agent we work with all day. Everything else we touch on the day has a generous free tier that's more than enough for the workshop and ongoing personal use. You won't need to enter payment details for anything else.

A laptop with Cursor installed, a Cursor Pro subscription, and a willingness to experiment and learn out loud. You don't need a GitHub account, command-line experience, or any prior coding — anything else we use on the day is free, and we'll set it up together.

Detailed setup instructions go out one week before the workshop. On the day, bring a charged laptop and charger, your curiosity, and your appetite — we have heaps of snacks.

Three frontier AI features, each built as a tiny prototype first and then woven into your app: an in-app assistant that can read and update your data ("talk to your app"), a voice assistant scoped to one screen (ingredients, timers, steps — hands-free), and custom artwork generation for consistent recipe illustrations in a visual style you choose.

These feel like magic but are built with surprisingly little code. The point isn't the features — it's the move: prototype small, then integrate.

Absolutely! The structured chapters guide you through core functionality, but you make many decisions: how you structure your data (what fields a recipe has), your app's visual design (colours, fonts, layouts), which optional features you add, and how you organise and display information.

During Part 3, there's time for customisation and adding your own ideas. Everyone follows the same recipe, but every app turns out different.

You own it. The app, the code, and the data are all yours, deployed under your accounts. Keep using it for your meal planning, keep developing it and adding features, share it with friends and family, use it as a portfolio piece, or adapt the same starter for a totally different idea.

Yes! You'll join our private community where you can ask questions and get help, share your progress and projects, learn from others' solutions, get updates to workshop materials, and find collaborators for new projects.

The instructor is active in the community, and you'll build relationships with fellow participants. You also keep lifetime access to the Cookbook and Pantry on this site.

You should understand the concepts and what the code does, but you don't need to memorise every syntax detail. It's like understanding what a recipe does without memorising the exact measurements. Over time, patterns become familiar — the workshop focuses on comprehension over memorisation.

It will! That's part of the learning experience. You'll learn to verify AI outputs, debug issues, provide better prompts, and iterate toward solutions. This is a crucial skill for working with AI — knowing when to trust it and when to question it.