Memory Architecture Is the Next Target in AI Engineering
To build truly agent-native systems, we need to stop feeding the LLM “snapshots” and start giving it a persistent architecture for memory.
Thought leadership posts. Focused on executives in Fortune 500 organizations. Including frameworks that could help shape an organizations transformation journey.
To build truly agent-native systems, we need to stop feeding the LLM “snapshots” and start giving it a persistent architecture for memory.
The “missing semantic layer” in early agentic commerce: scraping fails when real-time inventory, loyalty, pricing, and trustworthy checkout matter.
Most people think the quality of AI output is a function of the model. It’s not. It is a function of how you think, how you ask, and the context you provide.
The Architecture of Intent We have all been there. Vibe coded to our hearts’ content. At least I have on a few tools like v0, lovable, mocha, bolt.new, Google AI Studio, Dyad, and Claude Code. You write a single, “brilliant” prompt, and an LLM spits out a functional script. You feel like a wizard! But…
I “almost” burned 1 million tokens on a single Gmail cleanup. Why? Because I treated my AI agent like a human, not an architect. I recently asked Claude to tidy up my Gmail. The exact task, unsubscribe me from newsletters I hadn’t opened in three months. Simple enough, right? Except it wasn’t. I quickly realized…
If you’ve been tracking the search trends for OpenClaw lately, you aren’t just looking at a graph; you’re looking at the heartbeat of the next industrial (AI) shift. OpenClaw is emerging at a moment when organizations are no longer constrained by access to intelligence, but by the speed of execution across fragmented systems. The bottleneck…
Is your commerce strategy ready for a world run by AI agents? We have discussed the shift from “e-commerce” to Agentic Commerce in my earlier posts. The move from clicking buttons to agents negotiating, purchasing, and managing experiences on our behalf. Here is a fact: Most organizations are excited about the tech, but I see…
The primary source of competitive advantage is shifting from the intelligence layer (the “brain”) to the execution layer (the “claw”). Hence, the current challenge is determining which agentic architecture aligns with your organization’s security, scalability, use cases and operational requirements. Today’s “Agentic Stack” is fragmenting into four distinct architectural archetypes, each representing a different philosophy…
A Strategic Lens for Retail Executives The race to define how AI agents shop is on. On January 11, 2026, at the NRF Retail’s Big Show in New York, Google launched the Universal Commerce Protocol (UCP), an open specification designed to become the common language between AI assistants and retail platforms to navigate the entire…
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