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PRIVATE ARCHIVE
A quiet archive of thinking, implementation, and verification notes across AI, UX, marketing, work, and tools.
What I noticed, what I built, and what I tested.
Collected as judgment criteria for the next design.
THEMES
Notes on AI usage, agents, judgment criteria, and how individual knowledge becomes reusable context.
Read Articles UXUX DESIGNObservations on experience design, information architecture, problem solving, and practical UI decisions.
Read Articles MARKETINGMARKETINGNotes on search, CRM, email, customer touchpoints, and marketing structure in the AI era.
Read Articles IMPLEMENTATIONIMPLEMENTATIONImplementation logs on APIs, automation, publishing flows, data collection, and operational design.
Read Articles WORKWORKNotes on work, market value, compliance, standardization, and practical AI use in organizations.
Read Articles NOTENOTEPersonal site operations, observations, and small thinking logs that connect daily notes into assets.
Read ArticlesARTICLES
A Chrome extension for viewing videos, comments, and related videos side by side on YouTube watch pages.
An AI note on designing chatbots around concrete user problem solving instead of treating conversation itself as the value.
A note on evaluating AI subscriptions as production infrastructure, saved time, and reusable intellectual assets rather than mere tool spending.
A work note on starting AI adoption from decomposing work into tasks, decisions, checks, and exceptions rather than from prompt training.
A marketing note that reframes marketing not as persona creation or campaign execution, but as designing the conditions that raise purchase response probability.
An AI note that reframes an insight database as a personal OS that turns judgment criteria, prohibitions, article ideas, and AI instructions into reusable context.
An AI note on treating Codex requests as constraint design, stabilizing implementation quality by giving purpose, scope, prohibitions, and completion criteria.
A marketing note that reframes Deep Research as a personal research department for hypotheses, competitor analysis, article development, and strategic decisions.
An AI note on why strength now comes from connecting problem definition, design, AI direction, verification, and operation rather than raw task speed.
An AI note on starting agent adoption from evaluation criteria, context design, permissions, and role boundaries before choosing tools.
An AI note on failure patterns, evaluation, verification, and human-side review design.
An implementation note on remote desktops, AI agents, instruction design, and verification design.
A UX note on reducing hesitation, anxiety, and effort so users can naturally move to the next action.
A UX note on AI intervention timing, transparency moments, and the limits of chat UI.
A note on designing AI agents around roles, data access, decision authority, and evaluation criteria rather than personality.
A UX note on participant design, exclusion criteria, and user panel decay before speeding research up with AI.
A note on turning insight logs into judgment criteria, output rules, and prohibitions that a future personal AI can use.
A note on designing information collection as an automated knowledge pipeline.
A marketing note on designing content that can be selected, cited, and trusted by AI search experiences such as ChatGPT, Perplexity, and Gemini.
Designing Notion as a structured knowledge database that AI can reference and reuse.
Why reusable judgment criteria matter more than simply accumulating information.
How AI shifts web production value toward research, UX design, operations, and outcome design.
Why AI becomes more useful when it reads your own products, customers, failures, constraints, and judgment criteria.