AI tools for business: picking the right mix

Description and use

<p>For business AI tools I advise picking a model per task instead of choosing one "best" LLM: the market offers a huge choice for every taste, and I run a mix of different models - Claude, Codex, GLM, Gemini and others. Each one has its own job</p> <p>Fixating on a single model is the most common mistake at the start. A business buys one subscription, tries to cover everything with it - from emails to analytics - half the tasks come out forced, and the conclusion becomes "AI does not work". But it is not the AI that fails - it is the wrong tool for that job</p> <h2> Which model does what </h2

Problem

<p>For business AI tools I advise picking a model per task instead of choosing one "best" LLM: the market offers a huge choice for every taste, and I run a mix of different models - Claude, Codex, GLM, Gemini and others. Each one has its own job</p> <p>Fixating on a single model is the most common mistake at the start. A business buys one subscription, tries to cover everything with it - from emails to analytics - half the tasks come out forced, and the conclusion becomes "AI does not work". But it is not the AI that fails - it is the wrong tool for that job</p> <h2> Which model does what </h2

Outcome

<p>For business AI tools I advise picking a model per task instead of choosing one "best" LLM: the market offers a huge choice for every taste, and I run a mix of different models - Claude, Codex, GLM, Gemini and others. Each one has its own job</p> <p>Fixating on a single model is the most common mistake at the start. A business buys one subscription, tries to cover everything with it - from emails to analytics - half the tasks come out forced, and the conclusion becomes "AI does not work". But it is not the AI that fails - it is the wrong tool for that job</p> <h2> Which model does what </h2

Evidence

AI tools for business: picking the right mix

Source