Building the Safety Layer for AI Agents
Raindrop is building the safety layer for AI agents. As agents get more capable and take on more complex work, Raindrop detects when they go wrong in production, from failed tool calls and hallucinations to problems companies didn’t even know to look for. They’re already used by…
AI Summary & Key Takeaways
- Raindrop is building the safety layer for AI agents
- As agents get more capable and take on more complex work, Raindrop detects when they go wrong in production, from failed tool calls and hallucinations to problems companies didn’t even know to look for
- They’re already used by…
Related stories
An AI agent has been created for Blender that controls 3D scenes via chat
🧊 An AI agent was created for Blender that controls 3D scenes via chat. The developers presented Loopcut - a modified version of Blender with a built-in AI assistant. Now, instead of manually setting up a scene, you can simply describe the task in words, and the agent will perform the necessary...
Meta steps up its bet on AI: increases spending and prepares to issue a new class of shares
The tech giant and its future plans could become an important indicator for the market
n8n: if a business process can be drawn with arrows
Business process automation has been around for decades. n8n allows you to automate those stages of the business process that are performed in digital systems: linking services, data, conditions and individual actions. You can add API calls, scripts and AI models to the same scheme -...
AI’s hidden storage bill: What inference leaves behind
Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data…