Pillar 02 — Build
From idea to AI-powered product.
Walk every phase of the framework — how strategy becomes experience, how experience becomes prompt, and how prompt becomes shipped capability.
Mindset → Method
The Core Principles define how we think.The Ten Phases define how we build.
The Core Principles are the philosophy that guides every decision. The Ten Phases below are the sequential implementation — beginning with Strategic Foundation and ending with Governance & Continuous Evolution.
Phase 1
Strategic Foundation
01 / 10
Establish the strategic direction before selecting AI technologies. Define the business purpose, desired outcomes, success measures, organizational vision, and constraints that will guide every subsequent phase.
- Business purpose
- Desired outcomes
- Success measures
- Vision
- Constraints
Phase 2
Audience & Use Case Definition
02 / 10
Who is this for, what should they learn, do, and feel?
- Primary audience
- Learning objectives
- Target behaviors
- Emotional design
Phase 3
Experience Architecture
03 / 10
Design the end-to-end journey and the information architecture that supports it — navigation, hierarchy, moments of delight, and decision points.
- Journey arc
- Navigation
- Content model
- Moments of delight
- Calls to action
Phase 4
Prompt & Knowledge Design
04 / 10
Engineer prompts as requirements documents and curate the knowledge base they draw from — context, objectives, audience, constraints, and acceptance criteria.
- Context
- Objective
- Knowledge sources
- Functional requirements
- Acceptance criteria
Phase 5
AI Capability Development
05 / 10
Build one page, one feature, one workflow, one interaction at a time — each capability scoped, reviewable, and shippable on its own.
- Scoped builds
- Single capability
- Reviewable units
- Capability catalogue
Phase 6
Testing & Validation
06 / 10
Validate quality, accuracy, accessibility, performance, and security before anything reaches a real user.
- Accuracy
- Accessibility
- Performance
- Security
- User acceptance
Phase 7
Workflow Integration
07 / 10
Weave the AI capability into the real workflows, systems, and rituals of the organization it serves.
- Workflow mapping
- Systems integration
- Handoffs
- Operating cadence
Phase 8
Adoption & Change Enablement
08 / 10
Equip people to use what was built — facilitator guides, decks, PDFs, training, and the change story that drives adoption.
- Facilitator guides
- Participant workbooks
- Executive briefings
- Change narrative
Phase 9
Measurement & Optimization
09 / 10
Instrument the experience against the success measures defined in Phase 1 and tune it with evidence from real use.
- Outcome metrics
- Usage telemetry
- Feedback loops
- Optimization plan
Phase 10
Governance & Continuous Evolution
10 / 10
Operate the capability over time — versioning, responsible-use guardrails, audit trails, and a roadmap for continuous improvement.
- Versioning
- Responsible use
- Audit & accountability
- Continuous roadmap
Prompt anatomy
The fourteen components of a world-class AI design prompt.
Each phase above is powered by prompts engineered against this anatomy. Tap any component to read its full definition, why it matters, and a worked example.
01
Context
02
Problem Statement
03
Objectives
04
Audience
05
Desired Experience
06
Functional Requirements
07
Content Requirements
08
Design Requirements
09
Technical Requirements
10
Accessibility
11
Security
12
Testing
13
Acceptance Criteria
14
Future Enhancements