Choosing the right AI tool is getting harder every month. New models appear, capabilities change, and it’s not always clear which one to use for what. This guide by Ethan Mollick (https://www.linkedin.com/in/emollick/) breaks it down in a very practical way: which AI to use depending on the task. Key takeaway: - ChatGPT / GPT-4 → strong all-rounder for reasoning, writing, and workflows - Claude → excellent for long documents, analysis, and thoughtful responses - Gemini → powerful when working inside Google tools - Specialized tools → often better for coding, design, or automation The real skill is not picking one AI tool. It's knowing which tool to use for which job. Start simple: 1. Pick one task you do every week (writing, analysis, research). 2. Test 2–3 different AI models on that same task. 3. Compare the results. You’ll quickly see where each model shines. Read the full guide here:https://www.oneusefulthing.org/p/a-guide-to-which-ai-to-use-in-the?r=i5f7&utm_campaign=post&utm_medium=web&triedRedirect=true

Share your workflow and pro's / cons per tool

Many teams are experimenting with AI. Few are turning it into a real, measurable advantage. In this whitepaper, we share a practical leadership framework to move from pilots to performance. You’ll learn how to: - Define outcomes before choosing tools - Select high-leverage use cases (and avoid fragile ones) - Apply the trust equation: frequency of error × cost of error - Build governance and human-in-the-loop workflows - Scale AI without scaling risk This is about intentional adoption, not hype. 👉 Head to the Classroom and read it. Then pick one use case and evaluate it this week using the trust lens.

Register here: https://growthtribe.io/agenda/live-demo-see-the-platform-in-action/

Register here: https://growthtribe.io/agenda/webinar-ai-digital-marketing-2026/