A methodology by Kimberly Lewis
The AI Experience Framework.
Turning vision into AI-powered digital experiences.
Learn a practical methodology for designing AI-powered applications through strategy, structured prompting, experience design, iterative development, and continuous improvement.
Why this framework exists
Many organizations focus on writing prompts. Few know how to design complete AI-powered products.
This framework teaches a repeatable process for moving from vision to deployment — treating AI as a collaborative design partner across strategy, experience, and engineering. Prompt engineering is one component. The work surrounding it is what separates a clever demo from a production-grade product.
Expand any phase to see what it produces, why it matters, and how it shows up in real engagements.
The four pillars
One framework. Four ways to use it.
Learn
Understand the complete methodology and why AI design is about more than prompts.
Enter →02Build
Walk through every phase as ideas become AI-powered products.
Enter →03Teach
Generate facilitator guides, workbooks, decks, and executive PDFs.
Enter →04Apply
Use the framework to build your own AI-enabled products end to end.
Enter →Core principles
Eight commitments behind every great AI product.
These principles run through every phase of the framework. They make the difference between AI features that ship and AI features that endure.
- 01
Mission Before Technology
Start with business purpose and outcomes — let strategy lead the tools.
- 02
Experience Over Interface
Every prompt, screen, and workflow is part of an end-to-end experience — not just a system to ship.
- 03
Prompt with Purpose
Prompts are requirements documents expressed in natural language.
- 04
Build One Capability at a Time
Never ask AI to build everything. Ship one page, one feature, one workflow.
- 05
Iterate Relentlessly
Generate, review, test, refine, repeat — and document the decision trail.
- 06
Maintain a Single Source of Truth
One approved version powers every deck, guide, and export.
- 07
Document Everything
Decisions, prompts, and outcomes become the institutional memory of the build.
- 08
Teach What You Build
Enablement is the deliverable — guides, decks, and workshops scale the work.
The framework
Ten phases from vision to deployment.
A structured journey for designing AI-powered products — purpose-built so each phase informs the next and nothing important is left to chance.
Phase 1
Mission Before Technology
Business purpose, desired outcomes, success measures, vision, and constraints.
- Business purpose
- Desired outcomes
- Success measures
- Vision
- Constraints
Phase 2
Audience & Use Case Definition
Who is this for, what should they learn, do, and feel?
- Primary audience
- Learning objectives
- Target behaviors
- Emotional design
Phase 3
Experience Storyline
Design the user journey — beginning, middle, end, moments of delight.
- Journey arc
- Moments of delight
- Decision points
- Calls to action
Phase 4
Information Architecture
Navigation, pages, hierarchy, content organization, and flows.
- Navigation
- Page hierarchy
- Content model
- Flows
Phase 5
Prompt as Requirements Document
Prompts contain context, objective, audience, constraints, and acceptance criteria.
- Context
- Objective
- Audience
- Functional requirements
- Acceptance criteria
Phase 6
Feature-by-Feature Build
Build one page, one feature, one workflow, one interaction at a time.
- Scoped builds
- Single capability
- Reviewable units
Phase 7
Iterative Refinement
Generate, review, test, refine, repeat — and document each loop.
- Generate
- Review
- Test
- Refine
- Document
Phase 8
Source of Truth Management
One approved version. All documentation generated from it.
- Canonical content
- Synchronized exports
- Versioning
Phase 9
Quality, Security & User Testing
Accessibility, performance, permissions, data security, UAT.
- Accessibility
- Performance
- Security
- User acceptance
Phase 10
Documentation & Enablement
Facilitator guides, decks, PDFs, speaker notes, training manuals.
- Facilitator guides
- Participant workbooks
- Executive PDFs
- Knowledge transfer
Anatomy of a great prompt
A prompt is a requirements document.
World-class AI design prompts contain fourteen distinct components. Skip any of them and you'll iterate longer, ship later, and miss requirements you didn't know you had.
See the full anatomy →- 01Context
- 02Problem Statement
- 03Objectives
- 04Audience
- 05Desired Experience
- 06Functional Requirements
- 07Content Requirements
- 08Design Requirements
- 09Technical Requirements
- 10Accessibility
- 11Security
- 12Testing
- 13Acceptance Criteria
- 14Future Enhancements
From prompt to product
How an AI project actually evolves.
Eleven stages from initial spark to continuous improvement. The work between prompt and product is where most teams struggle — and where this framework lives.
01
Initial Idea
02
Discovery Conversations
03
Business Requirements
04
Prompt Design
05
Prototype
06
Iteration
07
Testing
08
Refinement
09
Documentation
10
Deployment
11
Continuous Improvement
01Initial Idea+
A clear articulation of the vision and why it matters.
02Discovery Conversations+
Talk to users, stakeholders, and domain experts before any prompt is written.
03Business Requirements+
Translate discovery into outcomes, constraints, and acceptance criteria.
04Prompt Design+
Compose prompts as requirements documents — context, objective, constraints, criteria.
05Prototype+
Ship the smallest possible capability that proves the idea.
06Iteration+
Generate, review, refine — keep loops tight and decisions documented.
07Testing+
Accessibility, performance, security, edge cases, and user acceptance.
08Refinement+
Polish copy, structure, and interaction until the product feels intentional.
09Documentation+
Facilitator guides, decks, PDFs, and admin docs — synchronized to source.
10Deployment+
Ship behind appropriate auth, monitoring, and rollback plans.
11Continuous Improvement+
Telemetry, user feedback, and iteration as a permanent practice.
The iterative loop
Five moves repeated until the product is done.
Source of truth
One content model. Every deliverable in sync.
Source of truth
Framework Content
src/lib/*.ts
- Website
- PPTX
- DOCX
- Workbook
- ZIP
Framework in action
Explore how the framework has been applied across industries, audiences, and products.
From executive learning environments to AI applications, nonprofit experiences, and companion marketing platforms — one methodology, transferable to any domain.
Leadership Vision Lab
A facilitated executive learning environment that moves senior leaders from strategic intent to an articulated vision in a single session — and ships the deck, workbook, and facilitator guide as a single source of truth.
- Challenge
- Senior leaders need a structured way to translate strategic intent into a concrete vision their teams can rally around — and most workshops produce inspiring conversation but no durable artifact.
- Framework applied
- Prompts are scoped per session phase with explicit objective, audience, constraints, and acceptance criteria — turning facilitator intent into reproducible AI behavior.
- Key outcome
- Protected facilitator dashboard — Treat prompts as requirements documents to make outputs reviewable
- Leadership Development
- Talent & Culture
- Executive Learning
Kingdom Sermon Architect (.ai)
A production-grade AI application with a guided multi-step workflow, voice preservation, multi-format exports, subscriptions, and an admin portal — proof that an AI product can ship with the full surface of a real SaaS.
- Challenge
- Design a content-creation platform with a guided AI workflow that respects the user's voice, supports complex inputs, and produces multiple export formats — all behind authentication, subscriptions, and an admin portal.
- Framework applied
- Each workflow step is a prompt with explicit context inheritance from the prior step — the user's DNA and influences are passed forward so the AI feels like a long-running collaborator, not a stranger each time.
- Key outcome
- Discovery Lab — Pass the user's context forward at every step — never restart cold
- Artificial Intelligence
- Faith Technology
- Educational Technology
Kingdom Sermon Architect (.com)
A companion marketing and education site that translates a sophisticated AI product into clear executive narrative, captures qualified leads, and stays perfectly in sync with the platform by sharing the same source of truth.
- Challenge
- Educate prospective users on a sophisticated AI product without overwhelming them, generate qualified leads, and maintain perfect content sync with the live platform.
- Framework applied
- Prompts target executive narrative tone with explicit constraints on jargon, length, and reading level — refined through editorial review loops.
- Key outcome
- Storytelling-led pages — Marketing and product should share the same source of truth
- Product Marketing
- Executive Communication
- Learning Experience
God's Diamonds
A mission-driven nonprofit experience built with empathy, accessibility, and community engagement at the center — leading with mission instead of transaction and treating volunteer engagement as a first-class product.
- Challenge
- Design a nonprofit experience that educates, invites participation, supports donations, and engages volunteers — without losing the personal warmth that defines the organization.
- Framework applied
- Prompts emphasize empathy, clarity, and reading accessibility — explicit constraints on reading level, tone, and inclusivity baked into every generation.
- Key outcome
- Mission-first design — Mission-first design changes conversion as much as copy does
- Nonprofit
- Faith-Based Organization
- Community Impact
Texas Brain Economy Summit Insights Hub
An executive readout site distilling a multi-day summit into a navigable strategic briefing on Brain Capital, mental health, neuroscience, AI, and workforce transformation — designed to brief leaders in minutes, not hours.
- Challenge
- Translate days of dense summit content — neuroscience, mental health infrastructure, AI in healthcare, workforce strategy, regional economic development — into an executive-ready site that briefs leaders in minutes without losing nuance.
- Framework applied
- Prompts target an executive readout voice — strategic, evidence-grounded, jargon-light. Each section is generated with explicit constraints on tone, length, and decision-readiness, then edited against a single narrative throughline.
- Key outcome
- Executive readout narrative — Executive readouts win when narrative beats chronology
- Executive Briefing
- Healthcare & Life Sciences
- Workforce Strategy
Meet the creator
Kimberly J. Lewis, M.Div.
Principal Consultant, Change & Transformation. Founder and creator of the AI Experience Framework.
Practice focus
- — AI strategy & responsible adoption
- — Organizational change & transformation
- — Executive facilitation
- — Human-centered AI experience design
Kimberly J. Lewis is an executive transformation leader, organizational change strategist, and the creator of the AI Experience Framework. Her career has spanned senior roles across corporate strategy, organizational development, technology, and management consulting — disciplines she now brings to one of the most consequential shifts in modern enterprise: the responsible adoption of artificial intelligence.
She founded the AI Experience Framework after watching organizations reach for generative AI without a methodology to design, govern, or sustain it. The framework is her response — a practical, repeatable system for translating vision into AI-powered products through strategy, structured prompting, experience design, iterative development, and continuous improvement. It treats AI as a collaborative design partner and keeps the human experience at the center of every decision.
Kimberly partners with executive teams, learning organizations, ministries, and Fortune 500 leaders to facilitate change, design AI-enabled experiences, and build the institutional muscle required to sustain transformation. Her work integrates organizational leadership, change management, executive facilitation, product design, and the disciplined craft of prompt engineering into a single practice.
Credentials & recognition
- →Master of Divinity (highest honors) — Samuel DeWitt Proctor School of Theology, Virginia Union University
- →Ed.D. in Organizational Leadership (in progress) — Abilene Christian University
- →B.S. Chemical Engineering — Prairie View A&M University
- →Diversity, Equity & Inclusion Certification — Cornell University
- →Recipient — Samuel DeWitt Proctor Preaching & Leadership Award
- →Founder — God's Diamonds and Kingdom Advancement Strategists