Tidy Lives in Your Text Messages and Does Whatever You Teach It to Do

The Macro: Nobody Wants Another App

The average person uses about 30 apps per month. Power users have even more. And every new productivity tool asks you to open yet another application, learn its interface, and remember to check it. This is why so many AI tools see strong initial downloads and then flatline on daily usage. People download the app, try it once, and never come back because opening a separate app is a behavior change they are not willing to make.

The most used app on every phone is messaging. iMessage, WhatsApp, Slack. People check their messages constantly. They are already there. If you want to build an AI assistant that people actually use every day, the smartest move is to put it where they already are.

This is the insight behind Tidy. Instead of building a standalone AI app, Tidy lives in your text messages. You interact with it the same way you interact with friends: by texting. No new app to open. No new interface to learn. Just send a message and get things done.

The Micro: Teach It Once, Use It Forever

What makes Tidy different from a standard chatbot is that you can teach it to use any app or website. If you want Tidy to check Lululemon for price drops, you show it once. If you want it to find bike routes on Google Maps, you teach it once. If you want it to search for classes at your university, you set it up once. Then you just text Tidy whenever you need that tool, and it handles it.

The community tools library already has pre-built automations that other users have created. Price trackers, class schedulers, company searches, route planners. You can browse what others have built and add their tools to your own Tidy.

The platform works in iMessage and Slack, with group chat support so teams or friend groups can share automations. Calendar integration with Google Calendar means you can manage your schedule by text. Memory and notes features let Tidy remember context and preferences.

The founding team includes Aagam Dalal and Brian Williams. Their philosophy is simple: everyone should be able to automate anything with a text.

Pricing is accessible with a free tier and paid plans. The product is available on iOS and has been featured as a top post on a major product discovery platform.

The competitive space includes general AI assistants like Siri and standalone AI chat apps. Automation platforms like IFTTT and Zapier enable cross-app workflows but require their own interfaces. Shortcuts on iOS provides automation but requires technical setup. Tidy combines the accessibility of text messaging with the power of cross-app automation, which is a unique position.

The risk is the depth of what you can automate. Simple queries and lookups are straightforward. Complex multi-step workflows that require authentication, form filling, and error handling are much harder to execute reliably through a messaging interface.

The Verdict

Tidy’s bet is that the interface matters more than the capability. By living in text messages, it avoids the biggest problem in consumer AI: getting people to actually use it.

At 30 days: how many custom tools have users created, and how often do they use them? Tool creation shows engagement. Repeated use shows value.

At 60 days: are users sharing tools within group chats and creating network effects? If one person teaches Tidy something useful and their friends start using it, growth becomes organic.

At 90 days: what is the daily active usage rate compared to other consumer AI assistants? The messaging-native approach should produce higher retention than standalone apps. If it does not, the interface advantage is not real.

I think Tidy is right about the interface problem. The best AI assistant is the one you use, not the most powerful one you forget about. Text messaging is the most natural interface for most people, and building there is a smart play for consumer AI.