AI deployment
AI & Automation
LLM Evaluations: The Hidden Discipline Behind Reliable AI
Testing large language models is becoming a core engineering discipline. Here is how companies evaluate AI reliability, accuracy, and safety before deployment.
AI & Automation
LLM Evals: Why Testing AI Became the Hottest Skill in Tech
Companies ship AI products that fail silently because they cannot measure quality. LLM evals have become the critical bottleneck -- and the career opportunity.
Startups
Agentic AI’s Production Gap: Why Only 11% of Enterprises Have Agents Running
38% of enterprises are piloting AI agents but only 11% have them running in production. Startups are racing to close the agentic AI deployment gap.
Skills & Careers
The Forward Deployed Engineer: Tech’s Hottest New Role Pays $630K
FDE job postings surged 1,165% YoY in 2025. This hybrid engineering-deployment role pays $238K average and up to $630K at staff level. Who is hiring and why.
Infrastructure & Cloud
LLMOps in Production: What Running AI at Scale Actually Requires
Deploying a large language model into production is nothing like deploying a traditional software service. The code ships.
AI & Automation
Intent Engineering: Why Enterprise AI Fails When It Works Too Well
In January 2026, Klarna reported that its AI customer service agent now performs the work of 853 full-time employees and has saved the company $60 million. In the same earnings cycle, CEO Sebastian Siemiatkowski admitted publicly that the strategy had cost the company something
AI & Automation
Intent Engineering for Algerian Enterprises: Before You Deploy AI
Algeria is in the middle of an AI deployment sprint. Sonatrach announced its digital transformation roadmap integrating AI into upstream exploration and production analytics.
