Building AI Agents with LLMs and Custom ML Models: The Blueprint for Enterprise-Ready Autonomy

Introduction: The Rise of Hybrid AI Agents AI agents are rapidly emerging as the next abstraction layer for enterprise artificial intelligence. Rather than interacting with models directly, organizations are beginning to deploy systems that can perceive inputs, reason over context, and take action with limited human intervention. Large language models have accelerated this shift dramatically,... Continue Reading →

January 21, 2026 0

The Transformer Architecture: Foundations, Engineering Trade-Offs, and Real-World Deployment at Scale

I know that many resources explain this architecture, including the pivotal paper Attention Is All You Need. I wanted to write this to cement the concepts in my mind. This architecture is what is driving the current AI revolution, so it is essential to have a good grasp of the ideas. Since its introduction in... Continue Reading →

January 16, 2026 0

AI Governance and AI Observability in the Microsoft Stack: Building AI You Can Trust

Artificial intelligence has entered a phase where models are no longer the center of gravity, behaviors are. We’re deploying systems that reason, retrieve, act, and adapt in real time. They generate content, make decisions, and increasingly operate as semi‑autonomous agents woven into everyday business processes. This shift has opened extraordinary opportunities, but it has also... Continue Reading →

January 9, 2026 0

Becoming a Frontier Firm: How to Scale AI with Trust and Speed

A new year, a new article. A quiet shift is happening in the business world, and it’s reshaping what it means to be a modern leader. While many companies are still experimenting with AI in pockets of the organization, a new class of businesses has already moved far ahead. These are the frontier firms, organizations... Continue Reading →

January 5, 2026 0

The Agentic Era: Why Autonomous AI Agents Will Transform How We Work, Build, and Think

Generative AI is evolving into autonomous AI agents that can independently accomplish tasks with minimal human oversight. These agents streamline work processes by executing decisions and actions autonomously, significantly reducing operational delays. Currently, over half of companies have adopted these systems, which are projected to grow dramatically in market value. However, this increased autonomy necessitates stringent governance to prevent chaos and ensure accountability, marking a shift from mere assistance to achieving concrete outcomes in workflows.

December 15, 2025 0

Survey of Emerging Research & Future Directions for LLM Memory

Recent advancements in Large Language Models (LLMs) emphasize the importance of memory for maintaining context in extended dialogues. Two notable architectures, HEMA and Mnemosyne, have emerged: HEMA enhances dialogue memory through dual systems inspired by human cognition, significantly improving recall and coherence without retraining; Mnemosyne is designed for low-resource environments, enabling sustained interactions. Key challenges include managing context window limits, ensuring security, and developing scalable solutions. As research progresses, effective memory systems could transform LLM capabilities.

December 11, 2025 0

In the world of large language models (LLMs), few topics generate more intrigue—and complexity—than memory. While we've seen astonishing leaps in capabilities from GPT-3 to GPT-4o and beyond, one crucial bottleneck remains: long-term memory. Today’s LLMs are incredibly good at reasoning over the contents of their prompt. But what happens when that prompt disappears? How... Continue Reading →

August 3, 2025 1