191 CVs in 75 Minutes: Evidence-Backed AI CV Screening
High-volume hiring has a brutal arithmetic problem. A single popular role can draw hundreds of applications, and a recruiting team […]
Human-in-the-Loop Isn’t a Safety Net: It’s an Advantage
There’s a quiet assumption baked into how most teams talk about human-in-the-loop: that it’s a crutch. A temporary concession you
The 70% AI Failure Rate Is a Myth: Here’s the Real Cause
You’ve seen the headline. “95% of AI pilots fail.” “70 to 80% of AI projects don’t deliver.” It gets quoted
AI Red-Teaming Beyond Jailbreaks: RAG & Agent Misuse
Most teams still treat AI red-teaming as jailbreak testing: clever prompts that coax a chatbot into saying something it shouldn’t.
The Modern Data Stack Is Bloated: A Lean Pipeline Architecture for Sub-Series C Teams
There’s a rite of passage for early-stage data teams that nobody should be performing. A founder or first data hire
Predictive Logistics: How AI Agents Are Quietly Eliminating the Need for Daily Standups
Picture the daily logistics standup. Someone pulls a report. Someone else cross-references a dashboard. A delay gets flagged, a person
Why Most Enterprises Are Automating the Wrong Workflows (and How to Find the Right Ones)
When an automation project fails, the post-mortem almost always blames the technology. The model wasn’t good enough. The tool was
The Death of the Dashboard: Why Conversational BI Will Replace Looker by 2028
The dashboard is a 1990s idea that overstayed its welcome. Here’s the heresy, stated plainly: the dashboard the grid of
Generative AI Has Outgrown Demos: The 2026 Production-Readiness Checklist
The demo always works. That’s the trap. In a demo, the data is clean, the users are friendly, the inputs
AI Governance Without Bureaucracy: A Framework for Shipping Fast and Safe
There’s a false choice haunting AI governance, and it’s costing companies both ways. On one side: govern properly stand up
