
**Join the AI Agent Bootcamp here: https://www.inventium.ai/learnvirtually-agents** You type a research question into your AI tool, get back a perfectly serviceable answer, and still feel like something's missing. The output isn't wrong, exactly. It just didn't quite hit the mark. The culprit, more often than not, is the prompt you started with. The good news: there's a smarter way to approach this, and it doesn't involve becoming a prompt engineering expert. In this How I AI episode, Neo and I walk through the agent Neo reaches for more than any other he has built: the Research Prompt Builder. We get into how it works, when to use it with a thinking model instead of deep research, and how pairing it with NotebookLM can get you genuinely well-briefed in a fraction of the usual time. How I AI is a special series within How I Work, where Neo and I explore how high performers are using AI at work to boost productivity, make better decisions and reduce overwhelm. What you'll learn in this episode: Why your research prompt matters more than the tool you use How Neo's Research Prompt Builder actually works before any research begins When a thinking model is a better choice than deep research How to go from a raw research output to a proper briefing using NotebookLM Practical AI tools for productivity and focus Real-world AI workflows used by high performers How to use AI at work without burning out <li aria-setsize="-1" data-leveltext="" data-font="Symbol" data-listid="4" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":&q
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What watching 20,000 auditions teaches you about getting attention, with Big Brother and The X Factor creator Maz Farrelly

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How I AI: The three agents every knowledge worker should have
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