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Where database blog posts get flame-broiled to perfection

How Elastic Support uses AI to deliver faster, expert-verified solutions
Originally from elastic.co/blog/feed
January 28, 2026 • Roasted by Dr. Cornelius "By The Book" Fitzgerald Read Original Article

Oh, this is just delightful. Truly. One must applaud the sheer, unadulterated audacity of presenting a fundamental design failure as a revolutionary feature. It’s a bold marketing maneuver, I’ll grant them that.

It is positively breathtaking to see AI and RAG celebrated for "accelerating answers." What they describe, of course, is a probabilistic process for retrieving and rephrasing text—a cacophony of correlations masquerading as cognition. They've built a glorified glossary that hallucinates with confidence. The very notion of using such a thing for a system of record would have given Edgar Codd a full-body shudder. This isn't data; it's digital detritus, elegantly arranged.

But the true masterstroke, the piece de resistance, is this magnificent claim:

Every response is reviewed, validated, and refined by engineers...

Marvelous! They've invented a truly breathtaking manual simulation of the 'C' in ACID. Why bother with the dreary details of transactional integrity and consistency constraints when you can simply pay a phalanx of beleaguered humans to clean up after your algorithm's latest fever dream? It’s a poignant, almost poetic, rejection of forty years of database theory. They’ve managed to create a system that possesses none of the guarantees one expects:

And then, the glorious punchline: "never automated output." Chef's kiss! They have proudly announced that their primary innovation is a system that cannot be trusted to function without constant, costly human supervision. It's as if they read the CAP theorem and decided to sacrifice Consistency and Availability for... continuous manual intervention. Clearly they've never read Stonebraker's seminal work on, well, building systems that actually work. One gets the distinct impression that their library is filled with venture capital pitch decks rather than peer-reviewed papers.

So, let us raise a glass to these pioneers. They are charting a courageous course back to the pre-relational dark ages, but with more expensive servers. They are not merely building a product; they are crafting an artisanal, hand-corrected data pipeline. What a charming little manifesto on how to build a Rube Goldberg machine for answering questions.

I shall treasure the experience of having read it precisely once. Splendid.