Agentic AI
Agentic AI describes systems designed to pursue goals autonomously—planning actions, using tools, and adapting based on feedback without waiting for human instruction at each step. The term distinguishes these systems from passive AI that only responds when prompted. An agentic AI system might monitor your analytics dashboard, notice a traffic drop, investigate the cause by checking server logs and search console data, draft a diagnosis, and propose a fix—all without being asked. The concept draws from decades of research in autonomous agents, but the current wave is powered by large language models that can reason about tool use in natural language. The gap between agentic AI in demos and agentic AI in production is significant. Demos show the happy path. Production requires handling failures gracefully, knowing when to escalate to a human, and operating within security and compliance boundaries that most agent frameworks were not designed for.
Related terms:
Multimodal AI
Multimodal AI refers to models that process and generate multiple data types—text, images, audio, and video—within a single system.
Custom AI vs. SaaS AI
SaaS AI is a ready-made vendor model—like ChatGPT Enterprise—fast to deploy but constrained by the vendor’s architecture and roadmap.
Embeddings
Embeddings are numerical representations of text—vectors of hundreds or thousands of floating-point numbers—that capture semantic meaning in a form machines...