AI co-worker and AI personal assistant: building guidelines Most teams that say they are building “an AI agent” are really building one of two different things. One is a personal assistant that helps a single person get through their day. The other is a co-worker that owns a piece of work for a team and […]
AI Co-worker vs AI Assistant: Building Guidelines Read More »
The AI Forward Deployed Engineer Most enterprise AI projects do not fail because the model is not good enough. They fail in the gap between a demo that impressed a steering committee and a system that a thousand employees use on a Tuesday morning without thinking about it. That gap has a name now. Practitioners
The AI Forward Deployed Engineer: Role and Use Cases Read More »
Two years into the agent era, the most consequential architectural decision you will make has almost nothing to do with which model you pick. It is this: who decides what happens next? Either the model decides observing the result of its last action, reasoning about it, and choosing the next step on its own. Or
Loops vs Graphs: How to Choose Agent Control Flow Read More »
The software industry’s foundational business model—the subscription seat—is under the most serious structural threat it has ever faced. At GTC 2026, NVIDIA CEO Jensen Huang made a declaration that reverberated through boardrooms and venture capital offices alike: “Every SaaS company will become an AaaS company.” That three letter acronym AaaS, or Agent-as-a-Service is now the
Agent-as-a-Service: How AaaS Is Replacing SaaS Read More »
The question used to be simple: which AI model is the smartest? In 2026, that question is the wrong one to ask. With Claude Opus 4.7, GPT-5.5, Gemini 3.1 Pro, Claude Sonnet 4.6, Grok 4, and the restricted-access Claude Mythos all competing at the frontier, the gap between the top models on general benchmarks has
Which AI Model Should You Use? A 2026 Guide by Role Read More »
Discover the Agent Triangle framework: General Agents, Custom-Built AI Employees, and Pre-Built AI Employees. Learn which path fits your organization.
Agent Triangle: 3 Paths to AI Workforce in 2026 Read More »
Discover how AI code agents like Claude Code and OpenAI Codex are transforming solo developers into one-person powerhouses capable of enterprise-level output.
General Code Agents: One Developer, Entire Team Power Read More »
Discover how AI agents with human-in-the-loop oversight are transforming AML compliance, cutting false positives by 70%, and reshaping financial crime prevention.
AI Agents in the Loop: New AML Compliance Model Read More »
Learn why context engineering is replacing prompt engineering for AI agents. Discover the 4 strategies—write, select, compress, isolate—that power modern coding assistants.
Context Engineering vs Prompt Engineering: The 2025 AI Shift Read More »
