AI is not one-size-fits-all

AI strategy can't be generic if you want it to be effective and sustainable. In a world that wants to automate and formulate as much as possible, weaving AI into your processes truly is an individual endeavor. While the foundational principles at the heart of AI adoption may be relevant for widespread demographics, the tactics you embrace, the tools and pacing should be custom-fit to your brain, your preferred way of working, unique bottlenecks or time-snags, and goals.

In an AI Readiness Audit I facilitated this week, the goal was set my client up for success with the transition from ChatGPT to Claude. His goals centralized around book editing, writing support, and marketing strategy. We discussed where he'd had success so far, and where he kept hitting the wall with ChatGPT looping and repeating itself with content that appeared thorough, but lacked substance. Moving to Claude was the right fit for him.

Yet, other people may have a different experience with ChatGPT and find that it's perfectly capable of meeting their needs. While I do believe some tools are superior to others, I also think tools are rapidly shifting and everyone has their own particular methods of working and communicating, and desired outcomes which alter the definition of a "right fit tool".

Finding the right tool stack for you and your business is also a process of experimentation, and it's important to normalize that. You may spend time with a tool trying your best to "make it work", and sometimes, the problem may lie in your prompting or context. Other times, it's important to know when to fail fast, rather than sink unnecessary time, energy, and money into the wrong tool.

AI adoption is still uncharted territory, and we are all in an unfolding process to explore its edges and unlock expansive possibilities.

Want to pop the hood on your current AI usage and discover right fit tools for you? Pick my brain in an AI Readiness Audit.