Enterprise AI Adoption, Use, Evaluation, and Governance in Practice
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Choose a reading path for one of four goals: implementing AI agents in business workflows, designing quality, safety, and governance, practicing harness engineering, or managing generative AI costs.
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Read the Latest Articles
Explore the latest articles to catch up on AI trends.
What Is Palantir Ontology? Connecting Business Data, Decisions, and Actions
Understand Palantir Ontology through its distinction from general ontology, Objects, Links, Functions, Actions, permissions, operation records, its role alongside knowledge graphs and RAG, and criteria for scoping a pilot.
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 considerations.
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? Agent Skill Operations and Maintenance at Google
Using Google's published approach to building, testing, and scaling Agent Skills, this article explains SkillOps maintenance, comparative evaluation, and ownership.
/goal vs /plan in Codex and Claude Code: When to Use Each
How to choose /plan for deciding an approach and /goal for continuing work to agreed completion criteria in Codex and Claude Code.
Choosing AI Agent Output: HTML or Markdown
Using the Claude Code team's HTML workflow as a starting point, this article explains when to use Markdown, HTML, XML, and JSON for AI agent outputs.
Self-Healing Loops for Coding Agents: Verification, Stopping, and Human Handoff
A practical guide to coding-agent self-healing loops based on 2026 research and official implementations from OpenAI, Google, and GitHub, covering layered verification, stop conditions, permission boundaries, and human approval.
How Generative UI Works: AI Interfaces with the Vercel AI SDK and Claude
An overview of Generative UI, where an AI response includes interactive interface elements instead of only text, covering how it works, use cases in the Vercel AI SDK and Claude, its potential, and points to check before adoption.
Claude Code vs Codex: Discuss, Design, Implement, and Verify
How I choose between Claude Code and Codex in the same repository by comparing discussion, design, implementation, verification, and handoff work.
Vibe Coding Color Checks: Light, Dark, and Interaction States
How I am building a harness to reduce repeated color accessibility issues in UI components created through Vibe Coding, especially across light/dark themes, hover, selected, and focus states.
Codex Memories and AGENTS.md: Where to Keep Information and Rules
Learn which preferences and cautions belong in Codex Memories, which mandatory rules belong in AGENTS.md, and when to stop or review memory use and generation.
Choosing Between Claude Code and Codex, and Recording Work for Handoffs
How to hand work between Claude Code and Codex: record current state, completed work, remaining tasks, reasoning, and verification results, then resume in the next session.
prebuild Order: Update Generated Values Before Validation
How I moved automatic normalization before validation in prebuild to address recurring Astro build failures.
Skills and Instruction Files: What to Put in CLAUDE.md and AGENTS.md, and How to Manage Shared Rules
A practical comparison of Claude Code Skills, Codex Skills, GitHub Copilot Skills, Google Antigravity Skills, CLAUDE.md, AGENTS.md, GEMINI.md, and copilot-instructions.md, with guidance on what belongs where.
Web Page Verification with Playwright: Structural Checks, Browser Tests, and Human Review
How structural and URL checks differ from Playwright browser verification, where browser checks fit in the validation flow, and which decisions require human review.
Copyright and Publication Responsibility in AI-Assisted Writing
A summary of copyright, responsibility, and reader disclosure policy when using AI as a writing support tool.
A 12-Step Pre-Publication Review for AI Drafts
A twelve-stage review for AI-drafted blog posts that separates structural checks from human approval and prevents the creating AI from approving its own draft.
AWS AI BPR: A Strength-Based Workflow for Process Redesign
A plain-language information summary of AWS AI BPR, its four strength-based steps, and the questions to consider when evaluating it for AI projects.