STRIDE: A Systematic Framework for Selecting AI Modalities - Agentic AI, AI Assistants, or LLM Calls
PositiveArtificial Intelligence
- The introduction of STRIDE (Systematic Task Reasoning Intelligence Deployment Evaluator) offers a structured framework for selecting between AI modalities, including direct LLM calls, guided AI assistants, and fully autonomous agentic AI. This framework addresses the complexities and risks associated with deploying agentic AI indiscriminately, ensuring that such autonomy is reserved for tasks requiring dynamic reasoning and evolving contexts.
- STRIDE's development is significant as it enhances decision-making efficiency in various sectors, including site reliability engineering (SRE), compliance, and enterprise automation. By providing an Agentic Suitability Score, STRIDE aims to optimize resource allocation and reduce operational costs while improving task execution.
- The emergence of frameworks like STRIDE reflects a broader trend in AI development towards integrating advanced reasoning capabilities and cognitive autonomy. As AI systems evolve, the focus is shifting towards hybrid models that combine agentic AI with multi-agent systems, enhancing collaborative decision-making and addressing the limitations of current AI technologies.
— via World Pulse Now AI Editorial System




