Enterprise AI Adoption, Use, Evaluation, and Governance in Practice
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Choose a reading path for one of four goals: adopting and embedding enterprise AI, implementing AI agents in business workflows, designing quality, safety, and governance, or improving development with Claude Code and Codex.
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Design AI Quality, Safety, and Governance
Improve Development with Claude Code and Codex
Read the Latest Articles
Explore the latest articles to catch up on AI trends.
Verify Search Console Ownership with Vercel DNS
Find and fix failed Google Search Console TXT verification when a domain is registered externally but its DNS is delegated to Vercel.
Ontology, Knowledge Graphs, RAG, and GraphRAG: How to Choose
A beginner-friendly comparison of ontology, knowledge graphs, RAG, and GraphRAG that explains each role and shows how to choose from where an answer lives.
WebMCP Explained: How AI Works with a Live Web Page
A beginner-friendly explanation of why WebMCP was proposed, its two ways to describe page features, how it differs from adjacent technologies, and how to test it safely.
Developing Palantir-Style AI Talent: An FDE/DS/GTM Playbook
A practical guide to the AI, engineering, and business-change skills required across FDE, Deployment Strategist, and GTM roles, with a 90-day program built around production work, evaluation, reuse, and internal ownership.
Palantir FDE, DS, and GTM: Consultants vs. Onsite Engineers
A comparison of Palantir's FDE, Deployment Strategist, and GTM responsibilities with consulting and onsite engineering, including global and Japanese trends, implementation risks, and an operating-model checklist.
Creative AI Governance: Production, Creation Records, and Distribution
A comparison of OpenMontage, AIFX, and AdCP across production work, finished-work creation records, and advertising distribution.
AIFX: Creation Records vs. Rights Review
A practical enterprise design that separates AIFX creation records and integrity checks from rights review and human release approval.
What Is AdCP? Governing AI Advertising from Creation to Delivery
A practical reading of AdCP Creative, Governance, and Trust specifications for connecting AI-generated ads to review, approval, and delivery.
Agent Observability Without Centralizing Conversation Content
A design for monitoring long-running agent behavior through minimal safety signals without centralizing conversations and documents.
Capability CI/CD: Verifying Agent Skills Before Distribution
A practical design for checking the structure, safety, overlap, effectiveness, and source record of an Agent Skill before production distribution.
Verification-First Agents: Validating Answers Through Evidence
A Verification-First design that links claims to evidence as they are produced and independently checks them before action.
What Is OpenMontage? Governing AI Video Production in the Enterprise
An explanation of OpenMontage as a way to organize the stages, responsibilities, approvals, and records of AI video production rather than as a list of code features.
What Is Palantir Ontology? Designing an Operational Layer
A guide to Palantir Ontology covering its origins, Objects, Links, Actions, Functions, permissions, applications, differences from knowledge graphs and RAG, and a practical PoC decision framework.
What Is Hermes Agent? Differences, Use Cases, and Extensions
A research-based overview of Hermes Agent covering framework differences, use cases, extensions, and considerations for organizational use.
What Is AI-DLC? Understanding AWS's Proposed Approach Through Examples
An explanation of AWS's AI-Driven Development Life Cycle through its current five phases, official examples, enterprise case, and adoption checklist.
AWS Ontology: An Introduction to Context Ontology Accelerator
Learn how AWS Context Ontology Accelerator differs from RAG and knowledge graphs, how it uses Neptune, OpenSearch, and Bedrock, and what to evaluate before enterprise adoption.
Managing Enterprise AI Coding Costs
A guide for IT administrators managing Claude, Codex, and GitHub Copilot costs, user selection, budget limits, adoption, and monthly license reviews.
What Is SkillOps? How Google Operates Agent Skills
Google revealed how it builds, tests, and scales Agent Skills on August 4, 2026. This article explains the concrete practices and a practical SkillOps adoption path.
/goal vs /plan in Codex and Claude Code: When to Use Each
Use /goal and /plan in Claude Code and Codex with model guidance, usage budgets, human checkpoints, and document and development workflows.
Choosing AI Agent Output: HTML or Markdown
Using the Claude Code team's HTML workflow as a starting point, this article separates when to use Markdown, HTML, XML, and JSON for AI agent outputs.