agentic commerce – Buonaiuto@Work

Markov Chains, MDPs, and Memory-Augmented MDPs: The Mathematical Core of Agentic AI

Massimo2025-09-010148 views

Markov Chains, Markov Decision Processes (MDP), and Memory-augmented MDPs (M-MDP) form the mathematical backbone of decision-making under uncertainty. While Markov Chains capture stochastic dynamics, MDPs extend them with actions and rewards. Yet, real-world tasks demand memory—this is where M-MDPs shine. By embedding structured memory into the agent’s state, M-MDPs enable agentic AI systems to reason, plan, and adapt across long horizons. This blog post explores the mathematics, technicalities, and the disruptive role of M-MDPs in modern AI architectures.

Agentic SEO – When AI Shops for You: How Autonomous Agents Are Rewiring E-Commerce

Massimo2025-09-01095 views

AI agents are overtaking search: shopping visits driven by generative AI surged 4,700%, while retailers like Walmart deploy “super agents” that guide purchasing end-to-end. But agents bring risks—less visible brands, opaque decisions, and emerging trust deficits. To thrive, businesses must reorganise for agent interaction: reengineer SEO through semantic structures, track agent-led conversions, and build accountability into the agent flow. In short, we’re moving into a world where your brand needs to speak agent, not just user.