Building the Right Team for Agentic Products
Expert insights on assembling the ideal team—skills, personalities, and mindsets—for building successful agent societies within your enterprise.
Writing
Thoughts on AI, enterprise systems, and building production platforms.
The Identity Layer for Agents
Why cryptographic identity, capability scoping, and execution attestation are essential for safe autonomy in agentic systems.
When to Choose a Hosted Open-Source LLM vs. an API-Driven LLM
In today's rapidly evolving AI landscape, choosing between a hosted open-source LLM and an API-driven LLM can significantly impact data privacy, customization, and overall project success. This article explores the key factors to help you decide the best approach for your business needs.
Understanding AI Model Servicing Pipelines
A deep dive into how AI model servicing pipelines are designed, built, and maintained throughout the machine learning lifecycle—empowering data scientists, engineers, and business stakeholders to deliver reliable AI solutions.
DeepSeek-R1 vs. Llama 3.3: A Comparative Look at Two Open-Source Heavyweights
DeepSeek-R1 and Llama 3.3 have captivated AI developers with their unique strengths and open-source ethos. But how do they stack up, and which one is right for your needs?
Insights on LLM Attacks and Defenses
How adversaries exploit Large Language Models—and the steps we can take to fortify them.
Looking Ahead: MarutAI’s Vision for 2025
A preview of MarutAI's research roadmap and how Model Reactor plans to reshape intelligent AI servicing pipelines.