Navigation
Site map
A human-readable guide to the AI shaping website, its core concepts, comparison routes, public evidence, planned directions, DOI-backed papers and public-boundary pages.
Start with the lightest useful page
Use the plainest route that answers the question before moving into papers or protected-stage review.
OrientationUse the start page, AI shaping and its core concepts and Compare AI shaping for orientation, concept routing and comparison routing.
EvidenceEvidence overview, public web-developing shaped intelligence, AI-shaping intelligence evidence and project-managing shaped intelligence for public-safe evidence routing.
PlanPlanned capability directions for the functional differences among three future directions, the two-step investment route and the distinct code-development route within intertwined origins.
Formal routePapers, public evaluation map and protected-stage discussion for bounded review.
Choose the shortest route for your purpose
| Page | Purpose | Summary |
|---|---|---|
| 1.Home | Primary entry / value proposition | Introduces AI shaping through the shift of recurring work burden to shaped intelligence and the productive-AI-work outcome. |
| 2.AI shaping in 5 minutes | Fast primer | Gives first-time readers a plain-English route through two-sided work-burden shift and the core capability chain. |
| 3.AI shaping | Canonical website category concept | Explains AI shaping as the operating-model discipline centred on two-sided work-burden shift and distinguishes the direct-shaping approach from the mediated-shaping approach through AI-shaping intelligence. |
| 4.AI Shaping practice | Public practice overview | Explains the relationship among seven public principles, five broad lifecycle bands and the role and benefits of operational patterns without publishing the complete private method. |
| 5.Productive AI work | Outcome concept | Explains the grounded, practice-guided, subject-aware, reviewable, repeatable and resumable work outcome under human direction. |
| 6.Work-burden shift | Operational effect | Explains the two formal burden sides and the observable shift from repeated human reconstruction to shaped intelligence. |
| 7.AI-shaping intelligence | Reusable shaping capability | Explains the self-shaping and domain-shaping capability used in the mediated-shaping approach. |
| 8.Shaped intelligence | Domain-facing capability | Explains how shaped intelligence carries a reusable domain work pattern and work basis into recurring work. |
| 9.Operating-model design | Work-system lens | Explains how operating-model design arranges source basis, recurring burden, review and human authority. |
| 10.Compare AI shaping | Comparison route selector | Routes readers to the comparison that matches their question about construct type, work pattern, tools or adjacent frameworks. |
| 11.Discipline, operating model, framework or method? | Construct classification | Explains why AI shaping is a discipline and how related construct labels are used within the architecture. |
| 12.Specification-led AI work vs Iterative AI work | AI-work-pattern comparison | Compares specification-led and iterative AI work without making either pattern the AI-shaping category. |
| 13.AI shaping vs prompts, agents and automation | Category differentiation | Distinguishes AI shaping from prompts, agents, automation, RAG, copilots and workflow tools. |
| 14.AI shaping and adjacent AI frameworks | Adjacent-framework positioning | Locates AI shaping beside governance, AI management systems, workflow redesign, adoption and productivity evaluation. |
| 15.Evidence overview | Evidence overview | Routes readers among the bounded website instance and the distinct DOI-backed Project-managing and Product-managing capability-evidence objects. |
| 16.Public web-developing shaped intelligence | Readily inspectable public evidence instance | Shows a website-specific instance established through the direct-shaping approach, reused across successive revisions and showing visible two-sided work-burden shift. |
| 17.Product-managing shaped intelligence | Bounded product-management capability and evidence | Explains Product-managing shaped intelligence, governed automation, publication co-evolution and the boundary of its DOI-backed first-party evidence. |
| 18.AI Shaping product ownership | Human product-authority account | Explains the retained human purpose, judgement, correction, acceptance and consequential-action boundary for the bounded product. |
| 19.AI-shaping intelligence evidence | Shaping-capability evidence | Explains the public evidence position for the mediated-shaping approach through AI-shaping intelligence and bounded domain extension. |
| 20.Project-managing shaped intelligence | Published mediated-shaping evidence instance | Presents Project-managing shaped intelligence as the distinct mediated project-work capability-evidence instance in project and BAU IT support contexts. |
| 21.Public evaluation map | Evaluation boundary map | Shows what public evidence can support and where protected-stage review begins. |
| 22.Planned capability directions | Planning context | Explains the distinct stock-evaluating, possible portfolio-managing and code-developing capability directions without creating current evidence. |
| 23.Papers | Paper index | Routes readers to the DOI-backed Category Definition and two distinct published Capability Evidence papers. |
| 24.Category definition paper | Category paper landing page | Summarises and links to the formal category definition paper. |
| 25.Project-managing evidence paper | Project-managing paper landing page | Summarises and links to the formal published Project-managing Capability Evidence paper. |
| 26.Product-managing evidence paper | Product-managing paper landing page | Summarises and links to the formal published bounded Product-managing Capability Evidence paper. |
| 27.Protected-stage discussion | Protected-stage entry | Explains when a defined practice, capability, evidence or implementation question may justify minimum scoped protected review. |
| 28.FAQ | Question support | Answers common reader, reviewer and evaluator questions. |
| 29.Glossary | Terminology reference | Provides canonical short definitions for AI-shaping terms. |
| 30.About | Provenance, maturity and author context | Summarises how the work developed, its current practice-derived maturity, the public evidence position and the author background relevant to credibility. |
| 31.Site map | Human navigation | Lists the site structure and main reader routes. |
All pages in reading order
This sequence is for readers who want to read the whole public site coherently from entry point to reference pages.