Tably Team
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Guides to building apps with an AI team

What each AI does well, how to pick one for each role, what building an app costs and how Tably Team works inside. Written by the team that builds it.

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Topic: how it works

How Tably works

What Tably Team is and how it builds an app with a team of AI models

Tably Team assembles an AI team with real roles (CEO, CTO, engineering, product, design and QA), has it debate your idea, design it and build it. Here is how it works under the hood, step by step.

5 min readRead →
Prompt engineering and references

How to write an app request so the AI builds it well (applied prompt engineering)

What to include and what to leave out of your app request, how Tably Team's automatic prompt engineering works, examples of good and bad requests, and a template you can copy.

4 min readRead →
How Tably works

Direct builder or builder with a team: which one is right for your app

The two ways to build in Tably Team, compared honestly. What each one does, how long it takes, how much it costs, what quality to expect and a simple rule for choosing.

3 min readRead →
Publishing and mobile

Mobile apps for iOS and Android with AI: how Tably builds with Expo and runs them in the simulator

How Tably Team builds mobile apps with React Native and Expo, how to choose between web, mobile or both from a single codebase, what you need installed to run them in the iOS simulator and the Android emulator, and how they get published to the stores.

3 min readRead →
Prompt engineering and references

Reference apps and reverse engineering: how Tably studies the apps you like before building yours

How reference research works in Tably Team: a real browser visit, screenshots, descriptions from a vision model and, with deep analysis, reverse engineering of bundles, routes and APIs to replicate an app faithfully.

4 min readRead →

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