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: AI models
Which AI to choose for each role on your team (CEO, CTO, engineering, product, design and QA)
A practical comparison of Claude, GPT, Gemini, DeepSeek, Grok, Llama, Kimi and Mistral by role. Which model performs best in leadership, technology, engineering, product, design and quality, with three ready-to-copy teams.
OpenRouter: a single API key for more than 300 models
What OpenRouter is, how it works, which models it unlocks (Qwen, Llama, DeepSeek, Claude, GPT and hundreds more), what it costs and how to make the most of it on an AI team without entering ten different keys.
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.
Llama on Groq: Meta's open model at lightning speed
A guide to Llama, Meta's open models, served by Groq. Why it responds so fast, what quality to expect, what it costs and which roles on an AI team it is best suited for.
Kimi (Moonshot AI): what it is good for and what role to give it on your team
A guide to Kimi, the models from Moonshot AI. Its strength in long contexts and agent tasks, its price and the roles on an AI team where it performs best.
Grok (xAI): what it is for, what makes it different and which role to give it on your team
A guide to xAI's Grok models. Their direct style, their access to recent information, their reasoning performance and the roles on an AI team where they contribute most.
GPT (OpenAI): what it is for, which models exist and which role to give it on your team
A complete guide to OpenAI's GPT models. What sets them apart, when to use the full version and when the mini, what Codex is as a builder, and which roles on an AI team they fill best.
Gemini (Google): what it is for, Pro vs Flash and which role to give it on your team
A guide to Google's Gemini models. The differences between Pro and Flash, their strength in vision and long contexts, what they cost and which roles on an AI team they are best suited for.
DeepSeek: what it is for, why it is so cheap and which role to give it on your team
A guide to the DeepSeek models. Their quality-to-price ratio, their direct style in debate, their performance in code and math, and the roles on an AI team where they are the right choice.
Claude (Anthropic): what it is for, which models exist (Fable, Opus, Sonnet, Haiku) and which role it fills best
A complete guide to Claude, Anthropic's family of models. Fable, Opus, Sonnet and Haiku, their reasoning style, where they shine at writing code and designing products, and which roles on your team you should give them.
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