What We Actually
Think About AI
No trend pieces. No hype. Just what we've learned building production AI systems — including the parts that didn't work.
Building Production-Ready Document Processing Pipelines
A walkthrough of the 5 layers every production document pipeline actually needs — and why demos always fail the same way.
Five LLMs Compared for Production AI: GPT-4.1, Claude Sonnet 4, Gemini 2.5 Flash, GPT-5.2 & Claude Opus 4.6
What we found deploying five models on real pipelines and extraction systems — with actual pricing, latency, and failure modes included.
The Real Cost of AI Implementation: What Nobody Tells You Before You Start
A practical breakdown of what AI implementation actually costs beyond the build quote: data prep, integration, change management, and maintenance.
The Real Cost of Manual Data Entry (You're Probably Underestimating It by 3×)
How to calculate what manual data entry is actually costing your business — with a worked example and the multiplier most companies miss.
Why Your First Two AI Automation Attempts Will Fail — And What to Do Differently the Third Time
The reasons AI pilots fail are almost always the same five things — none of which have anything to do with the AI itself.
When NOT to Use AI for Automation (And What to Do Instead)
The most expensive AI mistake isn’t using the wrong model — it’s automating the wrong thing, and here’s the framework we use to avoid it.