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.
OpenAI Decisions API vs. Jev: Choosing by Use Case
Compare OpenAI Decisions API and TypeSafe AI's Jev across image inputs, decision formats, pricing, confidence, data controls, and operations, with use-case selection criteria.
OpenAI Decisions API: Uses and Enterprise Adoption Considerations
How OpenAI Decisions API returns probabilities, choices, and scores, with text and image use cases, pricing, error evaluation, data retention, and execution controls.
Why data breaches keep happening—and how AI agents fit in
How do generative AI and AI agents relate to continuing cyberattacks and data breaches? Research published in July–October 2026 offers evidence about effort, defensive delays, and the limits of autonomous action.
Skills vs. Plugins: Costs and Returns for Business AI
Compare the roles of ChatGPT and Claude skills and plugins and the controls in their organization plans. Assess costs and returns using implementation and operating costs, added gross profit, and avoided expenses.
AI Capabilities and Agent Coordination: Lessons from the OpenAI and Gemini Intrusions
Compare the OpenAI and Gemini intrusions using public sources. Examine what exploration and coordination achieved, what remains uncertain, and how information sharing, permissions, and stopping affect business use.
What Is Jev? Decision Probabilities and Enterprise Adoption Considerations
A primary-source explanation of Jev's decision outputs, suitable workflows, probability limits, total cost, and data-management conditions for enterprise adoption.
Search Console Ownership Verification Errors and Vercel DNS Setup
Identify the active DNS provider, add the TXT record in Vercel, and diagnose failed Google Search Console ownership verification.
Enterprise AI Gateway and Model Router Guide
A role-based comparison of AI gateways, model routers, observability, and evaluation tools, with managed, open-source, and cloud-native recommendations by governance level.
Enterprise Token and Model Management: Lessons from Uber and Spotify
A comparison of Uber, Spotify, and Grab that turns their approaches to AI work, context, models, budgets, and quality into an enterprise operating model.
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
An examination of FDE, Deployment Strategist, and GTM skills, with organizational considerations for learning through real work, assessing outcomes, reusing knowledge, and handing operations to internal teams.
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: Managing Production, Creation Records, and Ad Delivery
A reference architecture for carrying approved versions and decision records from production through ad delivery, based on the roles and limits of OpenMontage, AIFX, and AdCP.
AIFX: Creation Records vs. Rights Review
How AIFX and AIFI creation records and file checks differ from the rights review and release approval that organizations must perform separately.
What Is AdCP? AI Ad Creation, Approval, Delivery, and Corporate Responsibility
Using the AdCP Creative, Governance, and Trust specifications, this article separates information the protocol can carry from the checks and management responsibilities organizations retain.
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 AI Answers Through Evidence
An introduction to Verification-First Agent design, which links each AI claim to evidence and an independent check before the answer informs a decision or action.
What Is OpenMontage? Managing AI Video Production in the Enterprise
Using OpenMontage as an example, this article explains how to organize AI video production stages, responsibilities, approvals, records, and enterprise adoption checks.