Braided Blog
What’s Next for Braided: New Features That Empower Your Team
When we talk to CTOs and IT leaders about what they need from an AI platform, the same theme keeps coming up. They don't want to chase every model release, navigate constant policy changes, or manage a growing list of security risks. They want clarity on two things:...
How to Stop Shadow AI Without Slowing Down Your Business
Shadow AI, when employees use unauthorized AI tools without IT approval, is rapidly becoming more common in organizations. Many are unaware of the risks. Sales teams may be feeding sensitive customer data into free tools, HR teams may be training AI models with...
We Asked 3 of the Latest AI Models the Same Question. Here’s What Happened.
Most people talk about AI like it’s a single tool: you ask a question, you get an answer. But in practice, the model you choose shapes the tone, the depth, and what gets emphasized. So, we tested three of the latest models with the exact same prompt and compared the...
Shadow AI: What It Is, Why It Matters, and Why Your Employees Are Doing It Anyway
Shadow AI isn’t a malicious underground movement. It’s a natural response to modern work. Employees across industries are quietly using AI tools like ChatGPT, Claude, Microsoft Copilot, and Gemini to write, summarize, code, troubleshoot, or automate tasks. They often...
Agentic AI: How Braided is Preparing for the Next Wave of AI Capabilities
AI tools have quickly evolved from providing answers to taking action. Agentic AI is the next leap forward, systems that can not only process information but also execute tasks, interact with other tools, and make decisions based on defined goals. For businesses, this...
Securing AI Use: Why Centralizing Access Protects Your Business
As AI adoption accelerates, one of the biggest risks for organizations is not the technology itself but the way it’s used. Employees are experimenting with different AI tools, often outside official channels. This “shadow AI” can expose sensitive data, create...
Prompt Collaboration: How Teams Can Co‑Create and Refine AI Prompts Together
Most AI tools are designed for a single user. You type a prompt, get a response, and move on. But in real-world business settings, ideas are rarely shaped in isolation. AI doesn’t exist on an island. Teams brainstorm, debate, refine, and build on each other’s work....
Machine in the Group: How AI Becomes a True Team Member
For years, the big idea in AI adoption was "human in the loop." People would guide, review, and approve what AI produced. That model made sense when AI was clumsy and prone to obvious errors. But something has shifted. Today, AI is not just a tool that an individual...
Why I Stopped Relying on Just One AI Model (and What Happened Next)
When I first started using AI at work, I treated it like a personal notepad: me, one model, cranking through tasks. But the more I used it, the more I noticed its quirks. Sometimes it crushed a project. Other times, it fell flat. That’s when I started testing...