Smart Archive Extractor 1.6 Beta
A Windows desktop utility for extracting multiple archives in one task, with flexible output folders, password support, progress tracking, and reusable task settings. Version 1.6 is a…
Explore projectExplore my books, articles, videos, frameworks, and projects in one place.
Explore original frameworks, practical projects, and working demonstrations.
A Windows desktop utility for extracting multiple archives in one task, with flexible output folders, password support, progress tracking, and reusable task settings. Version 1.6 is a…
Explore projectA structured prompting web app that turns project details and six groups of preferences into an AI Project Specification. Complete guided forms, review the generated JSON, and…
Explore projectA browser-based mind-mapping application developed from the Build Software from a Document methodology, extending the book’s practical example with interactive topic editing, task indicators, local saving, and…
Explore projectA practical enterprise AI framework connecting five foundations, an eight-phase implementation lifecycle, and human oversight to evolve digital transformation into intelligent transformation.
Explore frameworkA structured approach to connecting domain segments, multiple perspectives, and the Six Data Pillars into context-rich knowledge for AI reasoning, innovation, and strategic decisions.
Explore frameworkA multi-dimensional framework for shaping human–AI interaction through six connected categories covering intent, behavior, tone, formatting, audience adaptation, and session controls.
Explore frameworkA structured approach to organizing AI prompts as reusable digital assets—aligning prompts with personal goals, storing templates, and continuously refining a growing library using accessible tools such…
Explore frameworkA no-code framework that turns complex AI prompts into structured input forms and customizable output reports, making domain-specific AI applications easier to use, standardize, and scale.
Explore frameworkA strategic management framework combining customer satisfaction, revenue contribution, and respondent position to assess customer relationships in their business context, alongside the original satisfaction rating.
Explore framework