Deeplumen Launches 'Agentic Page' for AI Consumption
Deeplumen has launched a product called Agentic Page, designed to create content explicitly for consumption by AI agents. The technology aims to build new content distribution infrastructure for what the company calls the "M2AI Era" (Machine-to-AI). This represents a shift from creating web content for human persuasion to providing structured information for AI agents.
- The Agentic Page technology creates an AI-native version of a website, translating its content into a structured, machine-readable format designed to be a high-authority source of truth for AI agents. - This approach is based on the principle that AI systems, like observability platforms in SRE, require structured data; websites with comprehensive schema markup see up to a 43% increase in visibility in AI-generated responses. - The "agentic" model is already being applied in DevOps and SRE, where AI agents autonomously perform tasks like CI/CD optimization, predictive scaling, and incident response. - Microsoft's Azure SRE Agent, which follows a similar "Agentic DevOps" philosophy, has saved over 20,000 engineering hours for its internal product teams by automating operational tasks. - This represents a broader shift from designing systems for human interaction to engineering autonomous, policy-driven systems, analogous to how modern SRE practices focus on autonomous remediation to reduce Mean Time To Resolution (MTTR). - The underlying M2AI (Machine-to-AI) framework aims to establish a protocol for trusted, machine-to-machine interaction, effectively creating a content infrastructure for automated commerce driven by AI agents.
