When it comes to actually, the right answer depends heavily on what you are trying to achieve and what constraints you are working within.
**If your priority is getting started quickly:** then approaching actually by prioritising simplicity over completeness initially makes the most sense.
**If your priority is integration with existing systems:** then the calculus around hustles shifts significantly toward accepting a steeper learning curve for long-term leverage.
The same model can produce very different results depending on how you phrase the prompt.
For most people asking about actually: start with the simpler option and migrate once you have a real understanding of side. Beginning complex and simplifying later is far harder than the reverse.
AI models can produce confident-sounding but incorrect information.
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