Tably Team
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.
Topic: privacy
Security and privacy in Tably Team: what happens with your API keys, your code and your data
Where your keys are stored, what each AI provider sees, where your code lives, what data leaves your machine, how the subscription token works, and what options you have if nothing can leave your infrastructure.
Ollama: run AI models on your own computer, free and in private
What Ollama is, which models you can run locally (Llama, Mistral, Qwen, DeepSeek, Gemma), what hardware you need, what quality to expect and how to use it on an AI team without any data leaving your machine.
Mistral: the European model, what it is good for and what role to give it on your team
A guide to the models from Mistral AI. Its European focus on privacy, its Small, Medium and Large variants, its performance on code and the roles on an AI team where it contributes most.
Try Tably Team with your idea
Describe what you want to build and watch the team debate it, design it and build it.