Remote Frog

I’ve been writing about AI strategy lately—how to build one for SMEs, why context matters more than prompts, progressive disclosure—and I keep coming back to the same question: what does a working AI adoption strategy looks like?

Then I stumbled upon something from my colleagues of Day One team (If you haven’t yet, it looks like you should try out Day One, btw). Three principles. Clean. Actionable. No sugary noise.

What I love about this is how it simplifies strategy and avoids falling into the trap of being so detailed that you cannot remember it.

• Use AI at every opportunity — Not “use it when convenient.” Not “use it for big projects.” Every. Opportunity. The muscle memory matters more than the individual task. You’re training yourself, not just completing work.
• Invest time daily — This is compound interest for productivity. Minutes today exploring a new feature beats hours next month catching up. “Good at AI” people aren’t smarter—they just started earlier.
• Share your learnings — And this is the multiplier. No matter if it is a discovery or a mistake, it’s always useful around you. The spark needed for the social learning that I mentioned when I talked about AI capacitation framework!