The consultant's dilemma: recommending the boring tool over the exciting one

A client who's been reading about the newest, most talked-about AI tool in a category often arrives at a consulting engagement already wanting that specific tool, and recommending the more established, less exciting alternative instead is a genuinely harder conversation than recommending whatever's currently generating the most attention.

The case for boring is usually about maturity, not capability: an established tool has had more time to work out edge cases, has a support and documentation trail from other users who've already hit the problems this client hasn't encountered yet, and has a track record long enough to estimate its actual reliability rather than its marketing promises.

The newest tool sometimes genuinely is the better technical fit, and that's a real possibility worth evaluating honestly rather than dismissing by default. The discipline is separating "this is more exciting" from "this is more likely to work reliably for this specific client's actual use case," which are frequently different answers.

A consultant who always recommends the exciting new tool is easier to hire and harder to trust over multiple engagements. The ones whose recommendations hold up eighteen months later are, more often than the industry's marketing would suggest, recommending something less impressive to talk about and more likely to still be working.