How AI browsers (and a sneaky Reddit post) taught us prompt injection is the new browser XSS 🧠🌐🚨 TL;DR (for skim-readers) • AI-powered browsers (OpenAI’s Atlas / Operator, Perplexity Comet, Google’s efforts, Claude i…
(Inspired by the paper “Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision” by Jayalath et al.) Teaser: What if an AI could grade itself — or even better, generate its own “teacher answer” from its m…
What if AI could become an entire software company? Not just answering your coding questions, but actually handling product management, architecture, competitive analysis, API design, documentation, and engineering? That’s ex…
If you’ve ever built an AI chatbot, you’ve probably heard the hype around RAG (Retrieval-Augmented Generation) . Think of it like this: your LLM is a smart student, but sometimes it forgets things. So you add a “librarian” (retriever) that goes and …
When it comes to building and deploying AI Agents, many teams immediately jump into complex tools without asking the most important question: 👉 Do we need something reliable and maintainable, or something endlessly flexible (but ris…
Data is the lifeblood of AI. But connecting AI agents (LLMs, helpers, etc.) to the right data securely, efficiently, and in a way that scales isn’t trivial. That’s where ToolFront comes in — a library / server by Kruskal Labs that lets AI…
When it comes to building automated workflows , especially those involving AI agents , we’ve seen a rise in platforms that let you visually (or programmatically) orchestrate steps with ease. Two of the hottest contenders in this arena are: …
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