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by Quentin Gallea Published March 12, 2025 in Brain Circuits ⢠3 min read
Humans are not very effective at these. Letting the machines do it for you means you can focus on more cognitive-intensive tasks where humans have a comparative advantage. Use GenAI models to:
Generate automatic, generic email answers in applications such as Microsoft Outlook, freeing up time to compose more complex or personal emails, or do other tasks.
Take the minutes of meetings via videoconferencing tools such as Zoom and share the results with participants, freeing them from the burdensome task of notetaking and editing, and allowing for full engagement without diverting focus or resources.
GenAI programs are highly efficient at gleaning information from reports, however complex. Many of us have a long list of documents to read as part of our work. Instead of reading entire documents in search of specific information, give it to a GenAI model and ask the questions that need answering.
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The above are only a handful of examples of GenAIās capacity to free up time and create space for more valuable tasks. You donāt need a computer science doctorate to experiment with the tools. Hereās how to start:
Explain tasks to the GenAI model exactly as you would train a person to create an app.
Ask your coders to create an app to boost productivity, help colleagues, or connect with clients.
Better inputs (prompts) into a GenAI model make for better results. Writing better prompts ā āprompt engineeringā ā enables the model to carry out its tasks better, whether thatās generating code, writing emails, analyzing text, or engaging with customers via chatbots.
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Whether itās through automating mundane tasks, enhancing creative processes, or developing new skills such as prompt engineering, the potential for growth and innovation using Gen AI tools is unlimited. Given how fast the world of AI is moving, you stand to gain a serious competitive advantage by integrating the tools into your business early.

Founder of The Causal Mindset
Quentin Gallea is the founder of The Causal Mindset, a senior advisor at Enlighten Advisory, and an affiliated researcher at E4S. He helps companies worldwide to start, improve, and expand their use of causal AI. In addition, he has taught about 15,000 people, from economists to participants in startup incubators, including medical researchers, engineers, and marketing experts.

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