Web Application Development & Coaching
Your AI Agent Shouldn’t Know Your Passwords Most people building AI automation workflows hit the same wall. The agent can research, draft, schedule, and summarize. The moment it needs to log into something, though, it stops cold. You end up
Most AI automation workflows hand credentials directly to the agent. 1Password for Agents changes that with a brokered access model that keeps passwords completely hidden from the AI.
1Password just launched a platform that lets AI agents authenticate to websites without ever seeing your actual passwords. Here is why that matters for businesses deploying AI automation.
Anthropic has launched Claude Duet, a proactive AI agent built on Opus 5.5 that monitors your apps, prioritizes tasks, and works in the background while you focus on what matters most.
Most AI conversations happen at a scale you never see. While you ask a chatbot a question or run a document through an AI tool, something has to generate every word of the response. That something is called inference. It
Inception Labs released Mercury 3, a diffusion-based language model generating 1,000+ tokens per second while matching or beating GPT-6 Luna and Claude Haiku 5.5 on benchmarks. Here is what it means and why the architecture matters.
Anthropic published internal research this week that is hard to dismiss. Their own data shows entry-level technical hires dropping from 27% of all technical hires to just 9% since early 2025. That is not noise. That is a real structural
Microsoft quietly published something that the AI industry is still processing. Their new model, MAI-Base-2, has 2.8 trillion parameters. The previous generation of top-tier models measured in the hundreds of billions. This is a different scale entirely. Parameters are the
Microsoft has been working with OpenAI’s models for years. They built Azure OpenAI, invested billions in the partnership, and for most of the enterprise world, “Microsoft AI” and “GPT-4” became practically synonymous. That era is not ending, but it is
Microsoft’s MAI-Base-2 is a 2.8 trillion parameter Mixture of Experts model designed for enterprise agentic tasks. Here’s what it means for businesses using Azure.