The AI Practitioner’s BS Detector

Most AI newsletters fall into two camps:

• Hype Amplifiers - “AI will change everything!” (most newsletters)

• Academic Skeptics - Theoretical concerns from people who never ship

BSKiller is neither.

I’m Pranjal Gupta. I run DataXLR8, where I deploy AI systems for enterprises. I’ve seen what actually works in production—and what falls apart the moment it leaves the demo environment.

What I’ve learned:

• Most AI “breakthroughs” fail at scale

• Vendor claims are routinely 70% accurate (the missing 30% kills projects)

• The gap between demo and production is where careers die

What happens here:

• MILLION-DOLLAR AUTOPSY Mondays - Dissecting corporate AI disasters with receipts

• BS Ratings - Grading viral AI claims with actual data

• Production Reality - What I’m building, testing, and learning

Not trying to be negative. Trying to save you from expensive mistakes.

Recent wins:

• Called out GitHub Copilot’s “55% faster” study (n=35, one JavaScript task)

• Documented Apple’s $10B Siri disaster before mainstream coverage

• Shared my $200,000 Elon Musk worship mistake so you don’t repeat it

700+ subscribers who’d rather know the truth than feel good.

Join us if you’re done with hype.