How I keep up with AI progress (and why you must too)

"How I Keep Up With AI Progress" outlines a deliberate strategy to stay informed amid the noise of AI hype and skepticism. The author advocates curating a high-signal feed from credible voices (like Simon Willison, Karpathy, and select researchers), following original sources from AI labs, and practicing intentional daily skimming...

Smart Hiring at Scale with StageOne – TurfAI Smart Accelerator

Powered by TurfAI – OpenTurf’s Generative AI Platform Executive Summary OpenTurf has been building smart accelerators to showcase the power of its TurfAI platform. One such innovation, StageOne, is an AI Video Interview Bot designed to automate and enhance technical hiring processes. In a recent internal rollout (dogfooding) for OpenTurf’s...

LLM Observability: Monitoring the Performance and Behaviour of Generative AI Models

As large language models (LLMs) find their way into real-world applications—such as chatbots, code assistants, customer service, and research tools—understanding how they behave in the wild has become just as important as building them. That’s where LLM observability steps in. Unlike traditional software, LLMs are dynamic and unpredictable. A single...

OpenTurf Launches TurfAI: An Enterprise AI Studio to Simplify, Scale, and Secure Intelligent Workflows

Enterprises know they need AI to compete, but the journey to integrate it is often a maze of complexity, cost, and security concerns. That's why OpenTurf developed TurfAI—an enterprise-grade AI orchestration framework. TurfAI is a new kind of AI studio, purpose-built to simplify intelligent workflows, making it easier than ever...

Building the Future of Document Intelligence for Fexo

The Challenge Fexo approached OpenTurf with an ambitious vision: to transform how the Banking, Financial Services, and Insurance (BFSI) sector processes vast amounts of document-intensive data. Their goal was to build an enterprise-grade platform capable of converting unstructured information into actionable intelligence using advanced AI. The core challenges were substantial:...

FinOps for Engineers: Optimizing Cloud Spend through Code and Culture

Modern developers aren't just writing code—they’re building the future, and increasingly, they're also holding the keys to the cloud budget. If your organization leverages cloud services – and let’s be honest– you've likely felt the dual pressure of innovation and escalating costs. The days of "cloud is cheaper" are long...

The Role of AI Code Assistants in Boosting Developer Productivity and Code Quality
     

Modern developers aren’t just writing code—they’re collaborating with AI. If you’ve spent any time in an IDE recently, chances are you’ve encountered an AI code assistant nudging you with autocomplete suggestions, offering to refactor your logic, or generating entire functions before you finish typing the first line. What started as...

Key take‑aways from Andrej Karpathy’s keynote “Software Is Changing (Again)”

Three paradigms of software Software 1.0 – traditional hand‑written code.Software 2.0 – neural‑network “weights as code”, produced by training on data.Software 3.0 – large‑language‑model computers that you “program” with English prompts; the prompt is now the source code.  Take a look at the video here Learnings from two years of using AI tools for software engineering...

Accelerating HR Innovation with Conversational AI

An 8‑Week Prototype Delivered by OpenTurf Technologies for a Global HR Services Provider Executive Summary OpenTurf Technologies partnered with a leading global Human Capital Management (HCM) provider to prove the value of an on‑premise, role‑aware conversational AI assistant. Within eight weeks, the Virtual Technology Office (VTO) team designed, built, and deployed a working...