The recency bias point really resonates. I've definetly fallen into that trap where a painful task happens once and you imediatly think it needs automation. The 80-hour Model Extraction example is a good reminder that even with the best intentions, you can end up building somthing that creates more work than it solves. Having a discovery phase upfront seems like such a simpl idea but its probably the most valuabe investment to avoid those graveyard tools.
Exactly, and the discovery phase doesn't need to be long or complicated either. It's all about figuring out if automating something is worthwhile instead of just over-indexing on the most recent pain.
When something's fresh and painful, you're convinced it happens "all the time" without actually checking. A discovery phase basically just forces you to calculate whether the automation will ever pay itself back.
Brilliant. This is such a crucial point, especially with everyone jumping on the AI bandwaggon. The 'should we?' is the actual millin-dollar question. So often overlooked.
The recency bias point really resonates. I've definetly fallen into that trap where a painful task happens once and you imediatly think it needs automation. The 80-hour Model Extraction example is a good reminder that even with the best intentions, you can end up building somthing that creates more work than it solves. Having a discovery phase upfront seems like such a simpl idea but its probably the most valuabe investment to avoid those graveyard tools.
Exactly, and the discovery phase doesn't need to be long or complicated either. It's all about figuring out if automating something is worthwhile instead of just over-indexing on the most recent pain.
When something's fresh and painful, you're convinced it happens "all the time" without actually checking. A discovery phase basically just forces you to calculate whether the automation will ever pay itself back.
Brilliant. This is such a crucial point, especially with everyone jumping on the AI bandwaggon. The 'should we?' is the actual millin-dollar question. So often overlooked.