How to Audit AI Answers: Separating Identity from Evidence
An AI-assisted implementation case: auditing identity and claim support across a frozen baseline and a selected 20-question disambiguation retest.
Writing
Foundational frameworks, observational research reports, essays, and operating notes on AI systems, semantic authority, venture architecture, and underbuilt markets.
The Semantic Authority Network
A framework for how canonical identity, original concepts, evidence, independent references, and machine-readable relationships help search and AI systems represent an entity.
Read the FrameworkPublished Writing
Semantic Authority Methodology v1.0
A versioned operating standard for mapping entities, qualifying evidence, diagnosing machine-generated representations, and measuring change across search and AI systems.
Research / Observational Field Reports
Bounded observations with explicit evidence, methods, and limitations.
Burakorn Partners in a Google AI Overview: A 2024 Retrospective
A bounded retrospective on 2024 digital reputation work and one later Google AI Overview that surfaced Burakorn Partners for a generic Thailand HR query.
Case Zero External Testing Addendum
Case Zero-like identity-linked search representations were observed in two external testing environments, while two others produced mixed or negative results.
The Search Result Is Not the Page
A documented case of cross-URL identity attribution in Google Search.
Foundational Frameworks
Concept papers that define a reusable model, its boundaries, and an operating method.
The Semantic Authority Network
A framework for how canonical identity, original concepts, evidence, independent references, and machine-readable relationships help search and AI systems represent an entity.
Essays and Operating Notes
Arguments, field lessons, and practical systems for work and venture building.
AI at the Decision Table
How I use a personal AI assistant to help colleagues work through the reasoning behind complex cases.
Stress-Testing the Semantic Authority Network with Delphi Digital Minds
What retrieval, entity resolution, enterprise buying, procurement, ethics, and category-formation perspectives changed in the framework.
The Next Elite Will Not Be Humans or AI. It Will Be Human-AI Teams
Why the durable advantage in AI may belong to people who build long-term human-AI operating systems rather than merely access better models.
Your AI Should Not Need the Same Correction Twice
A practical framework for turning meaningful AI corrections into confirmed, reusable rules without letting one task redefine the whole system.
Your AI Still Treats You Like a Stranger. Fix It in 30 Minutes.
Most people start from zero every day. Build a Personal AI Layer and turn a blank chat into a thinking partner that grows with you.
The Infrastructure Opportunity Inside Fragmented Markets
Why the most durable opportunity in fragmented markets often lies not in the visible product, but in trust, supply, distribution, regulatory clarity, and operating infrastructure.
Practical Questions for Founders and Companies
Why Doesn’t AI Recommend Your Company?
Separate company discovery, identity, evidence and AI representation. A practical diagnosis grounded in Eugene Prudchenko’s Semantic Authority Methodology.
How to Make AI Understand Your Company
Make company identity, claims, knowledge and operating context explicit. Connect public evidence with private working standards without confusing the two.
AI Operating System for Founders
Use AI across complex business work with persistent context, scoped workflows, confirmed rules and human review. Eugene Prudchenko’s practical operating approach.
Themes
AI & Operating Systems
Venture Architecture
Trust & Complex Markets
Thailand & Cross-Border Execution
Products, Distribution & Category Creation
Search, Identity & Semantic Authority