Subscribe • Previous Issues Choosing the Right AI Model: Performance, Cost, and Task Specificity In building AI applications and solutions, three best practices have clearly emerged. First, design your system to remain agnostic about the model provider. Given the steady stream of highly capable models from proprietary vendors like OpenAI, Anthropic, and DeepMind, as well as open-weightContinue reading “The AI Model Selection Mistakes You Can’t Afford to Make”
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The State of AI in 2025
Subscribe • Previous Issues An In-Depth Look at the Stanford AI Index Report The Stanford AI Index Report 2025 provides the most comprehensive, data-driven overview of artificial intelligence trends globally. I consider it essential annual reading to stay grounded in the actual progress and impact of AI, tracking everything from technical benchmarks to policy shifts. I recentlyContinue reading “The State of AI in 2025”
Autonomous AI Agents Are Changing Knowledge Work—Fast
Subscribe • Previous Issues AI Deep Research Tools: Landscape, Future, and Comparison By Louis Bouchard, Ben Lorica, and Samridhi Vaid. You’ve seen how large language models (LLMs) like GPT-4o (in ChatGPT) and Gemini handle everyday tasks—summarizing documents, brainstorming ideas, and answering customer queries. While tools like ChatGPT’s web browsing or Perplexity extend these capabilities by gathering contextContinue reading “Autonomous AI Agents Are Changing Knowledge Work—Fast”
The AI infrastructure shift most teams don’t see coming
Subscribe • Previous Issues The Hidden Foundation of AI Success: Why Infrastructure Strategy Matters The New Data Center Revolution I’ve been monitoring a fundamental shift in how we conceive of AI infrastructure. NVIDIA’s concept of “AI factories” marks a departure from traditional data centers, designing facilities specifically to produce intelligence at scale by transforming raw data intoContinue reading “The AI infrastructure shift most teams don’t see coming”
Level Up Your AI Team’s Workflow
Subscribe • Previous Issues Faster Iteration, Lower Costs: BAML’s Impact on AI Projects Back in November, I outlined “Seven Features That Make BAML Ideal for AI Developers,” and since then, I’ve been thrilled to see a surge of developers embracing BAML for their AI projects. For AI teams seeking a more robust and deterministic approach to foundationContinue reading “Level Up Your AI Team’s Workflow”
AI This Week: New Agents, Open Models, and the Race for Productivity
Subscribe • Previous Issues Your AI Cheat Sheet: Manus, Gemma 3, OpenAI, and Global Regulations Feeling overwhelmed by the pace of AI developments? Our latest collection of guides and cheat sheets covers everything from China’s groundbreaking Manus agent to Google’s Gemma 3 and the evolving regulatory landscape across major economies. Catch up on a transformative week inContinue reading “AI This Week: New Agents, Open Models, and the Race for Productivity”
From Prototype Purgatory to Production-Grade AI Agents
Subscribe • Previous Issues Taming the Wild West of AI Agents: Addressing the Challenges of Real-World Deployment AI agents are autonomous systems that combine language (and multimodal) understanding with the decision-making prowess of foundation models to interpret complex inputs, reason through multifaceted scenarios, and execute tasks autonomously. The business landscape is abuzz with excitement, as industry analystsContinue reading “From Prototype Purgatory to Production-Grade AI Agents”
Boost AI Performance: Understanding Inference Scaling
Subscribe • Previous Issues Decoding Inference Scaling: The Dawn of Reasoning-Driven AI Inference scaling, also known as inference-time compute, is the strategic allocation of computational resources during the operational phase of AI models. With the rise of reasoning-enhanced Large Language Models (LLMs) and foundation models, inference scaling has become even more crucial. These models leverage additional computeContinue reading “Boost AI Performance: Understanding Inference Scaling”
10 Things to Know About the State of AI Agents
Subscribe • Previous Issues AI Agents: 10 Key Areas You Need to Understand 1. GUI-Based Interaction AI agents (that rely on foundation models) increasingly interact with software through graphical user interfaces (GUIs), much like a human using mouse and keyboard inputs. This is in contrast to older approaches limited to bespoke or specialized APIs. Frameworks like OpenAIContinue reading “10 Things to Know About the State of AI Agents”
Is Your AI Missing Out? The Hidden Logic in Your Spreadsheets
Subscribe • Previous Issues AI’s Spreadsheet Blind Spot: Bridging the Logic Gap In a previous article, I highlighted the need for AI applications to bridge the gap between their advanced capabilities and the real-time data that businesses depend on. However, for AI to truly transform business workflows, it must also tap into one of the most enduringContinue reading “Is Your AI Missing Out? The Hidden Logic in Your Spreadsheets”