Reinforcement Learning 101
This article explains that reinforcement learning (RL) is the foundational training method driving modern AI, enabling models to transition from simple pattern matching to complex …
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The Nuanced Perspective
41 articles · Page 2 of 4
How to Ship Production Ready Code with AI Assistance
The article introduces the RePPIT framework, a structured methodology designed to move beyond "vibe coding" and achieve 2-3X faster production-quality development using AI. By foll…
Building a Multi-Agent Content OS with Claude Code
To avoid the generic, flattened output produced by single-prompt AI, the authors propose building a multi-agent "Content OS" using Claude Code. This system employs specialized suba…
Designing Agentic Memory in 2026
The article argues that building effective agentic memory requires a sophisticated architecture that distinguishes between five distinct cognitive memory types rather than treating…
A Practitioner's Guide to Voice Agents in 2026
The article argues that voice agents represent the next frontier in AI customer service because they capture essential emotional signals, such as tone and hesitation, that text-bas…
Rip Out, Carve Out, or Build New
Current enterprise systems record business outcomes but fail to capture the underlying reasoning and precedents, leaving AI agents without the "institutional memory" required to ma…
The AI Agent Stack in 2026
The article describes how the AI agent landscape has evolved from a linear "stack" in 2025 to a more complex "operating system" model in 2026. This shift is driven by agents moving…
Build your AI Chief of Staff in 45 minutes
This article provides a step-by-step guide to building a personalized AI "Chief of Staff" using Claude Code to automate email triage and calendar management. By integrating Gmail a…
Agent Skills Work But The Research Shows Most Teams Are Building Them Wrong
Recent research indicates that while AI agent skills can significantly improve task performance, human-curated skills are far more effective than model-generated ones, which often …
Problem Comes First: Why the Best AI Demos Don't Start With AI
This article argues that successful AI projects begin with identifying a *problem* first, rather than starting with the AI technology itself. The authors advocate for a "CC/CD loop…
Evals for Everyone: A Deep Dive
This article summarizes a three-part series called “Evals for Everyone” focused on comprehensive AI evaluation. The series highlights the confusion around the term "evals" – often …
Chai & AI Gems: Where VCs Are Actually Placing Bets in AI (and Where They're Not)
This article summarizes a conversation with Geodesic Capital partner Arvind Ayyala about the current AI investment landscape. Arvind highlights that successful AI startups aren’t n…