Portfolio

Every project built with the framework.

Detailed case studies across executive learning, AI applications, companion marketing platforms, and nonprofit experiences — all built using the same methodology.

Case study 01

Leadership Vision Lab

A facilitated executive learning environment where leaders co-design their vision with AI.

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Leadership Vision Lab homepage screenshot
leadership-insight-loom.lovable.app

Executive summary

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.

Business 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.

Audience

Executive teams, leadership cohorts, talent & culture facilitators, and L&D partners running flagship leadership programs.

Design objectives

  • Move executives from intent to articulated vision in a single session
  • Produce facilitator-ready materials from a single source of truth
  • Make the experience reusable across cohorts without bespoke setup
  • Embed reflection, peer review, and action planning

Experience journey

  1. 01Arrival and framing — context, expectations, psychological safety
  2. 02Vision drafting with AI co-creation prompts
  3. 03Peer feedback and refinement rounds
  4. 04Translation to commitments and a 90-day plan
  5. 05Export of the full deck, workbook, and facilitator guide

Architecture

  • Public landing and methodology pages
  • Facilitator portal with generation actions
  • Single source of truth: framework + case content in code
  • Export pipeline → PPTX / PDF / DOCX / ZIP

Prompt strategy

Prompts are scoped per session phase with explicit objective, audience, constraints, and acceptance criteria — turning facilitator intent into reproducible AI behavior.

Iterative refinements

  1. 01v1 — single monolithic prompt; output drifted across cohorts
  2. 02v2 — decomposed prompts per phase with acceptance criteria
  3. 03v3 — added reflection and peer-review sub-prompts
  4. 04v4 — added audience-tuned variants (exec / director / manager)

Capabilities shipped

  • Protected facilitator dashboard
  • PPTX deck with speaker notes
  • PDF executive overview
  • DOCX participant workbook
  • Reflection and discussion guides

Framework phases applied

  • Phase 01Mission Before Technology
  • Phase 02Audience & Use Case Definition
  • Phase 03Experience Storyline
  • Phase 04Information Architecture
  • Phase 05Prompt as Requirements Document
  • Phase 07Iterative Refinement
  • Phase 08Source of Truth Management
  • Phase 10Documentation & Enablement

Lessons learned

  • Treat prompts as requirements documents to make outputs reviewable
  • Decompose by session phase, not by feature
  • Always ship facilitator enablement alongside the participant experience

Reflection questions

  • Where in your organization do leaders most need help translating intent into action?
  • Which artifacts would you want to leave a session with?
  • How would you measure whether the vision shifted behavior?

Case study 02

Kingdom Sermon Architect (.ai)

A sophisticated AI application demonstrating end-to-end product design — discovery, workflow, content generation, exports, and admin.

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Kingdom Sermon Architect (.ai) homepage screenshot
sermon-dialectic.lovable.app

Executive summary

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.

Business 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.

Audience

Content creators, communicators, and educators who need AI assistance without losing personal voice or editorial control.

Design objectives

  • Translate an expert practice into a guided AI workflow non-experts can follow
  • Capture and reuse each user's distinct voice and influences
  • Produce production-grade exports across multiple formats
  • Ship a complete product surface: auth, billing, admin, security

Experience journey

  1. 01Discovery Lab — capture context, audience, and goals
  2. 02Preaching DNA — author voice, themes, recurring frameworks
  3. 03Influence Library — curated references and source material
  4. 04Guided generation — multi-step AI workflow with checkpoints
  5. 05Export — multiple formats with consistent branding

Architecture

  • Authenticated app with subscription tier gating
  • Discovery Lab → DNA → Influence Library → Generator → Export
  • Server functions own AI calls; client owns the workflow surface
  • Admin portal for content templates, user support, and analytics

Prompt strategy

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.

Iterative refinements

  1. 01Replaced single mega-prompt with a chain of scoped, reviewable steps
  2. 02Added per-user voice profiling to preserve authenticity
  3. 03Introduced acceptance criteria checkboxes inside the workflow
  4. 04Hardened admin permissions and added audit logging

Capabilities shipped

  • Discovery Lab
  • Preaching DNA capture
  • Influence Library
  • Guided AI workflow
  • Multiple export formats
  • Auth + subscriptions
  • Admin portal
  • Security & audit

Framework phases applied

  • Phase 01Mission Before Technology
  • Phase 02Audience & Use Case Definition
  • Phase 03Experience Storyline
  • Phase 04Information Architecture
  • Phase 05Prompt as Requirements Document
  • Phase 06Feature-by-Feature Build
  • Phase 07Iterative Refinement
  • Phase 09Quality, Security & User Testing
  • Phase 10Documentation & Enablement

Lessons learned

  • Pass the user's context forward at every step — never restart cold
  • Voice preservation is a product feature, not a side effect
  • Build admin and security in from the beginning, not as a final pass

Reflection questions

  • Where in your product does AI need to behave like a long-running collaborator?
  • How would you capture and reuse a user's voice or style?
  • What admin and security capabilities are non-negotiable from day one?

Case study 03

Kingdom Sermon Architect (.com)

A companion marketing and education site supporting the primary AI platform — generated from the same source of truth.

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Kingdom Sermon Architect (.com) homepage screenshot
kingdom-sermon-scribe.lovable.app

Executive summary

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.

Business challenge

Educate prospective users on a sophisticated AI product without overwhelming them, generate qualified leads, and maintain perfect content sync with the live platform.

Audience

Decision-makers, prospective subscribers, partner organizations, and existing users seeking enablement materials.

Design objectives

  • Translate platform capabilities into clear executive narrative
  • Convert curiosity into qualified leads
  • Provide ready-to-use training and onboarding materials
  • Keep marketing content perfectly in sync with platform content

Experience journey

  1. 01Story-led landing page
  2. 02Methodology and feature deep-dives
  3. 03Educational content hub
  4. 04Downloadable guides and lead capture
  5. 05Hand-off to platform onboarding

Architecture

  • Static, SEO-optimized marketing surface
  • Shared content models with the .ai platform (single source of truth)
  • Lead capture and CRM integration
  • Downloadable training material library

Prompt strategy

Prompts target executive narrative tone with explicit constraints on jargon, length, and reading level — refined through editorial review loops.

Iterative refinements

  1. 01Reframed feature pages around customer outcomes, not features
  2. 02Compressed lead flow from 6 fields to 2 with progressive profiling
  3. 03Added training booklet generation from the same source content

Capabilities shipped

  • Storytelling-led pages
  • Lead generation funnel
  • Educational content hub
  • Downloadable guides
  • Training materials
  • Source-of-truth sync with platform

Framework phases applied

  • Phase 01Mission Before Technology
  • Phase 02Audience & Use Case Definition
  • Phase 03Experience Storyline
  • Phase 04Information Architecture
  • Phase 05Prompt as Requirements Document
  • Phase 08Source of Truth Management
  • Phase 10Documentation & Enablement

Lessons learned

  • Marketing and product should share the same source of truth
  • Executive narrative requires aggressive editing, not more content
  • Downloadable enablement is the easiest first conversion

Reflection questions

  • Where do your marketing and product diverge in language?
  • What would change if both consumed the same content source?
  • Which downloadable would be most useful to your audience?

Case study 04

God's Diamonds

A mission-driven digital experience built with empathy, accessibility, and community engagement at the center.

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God's Diamonds homepage screenshot
shine-under-pressure.lovable.app

Executive summary

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.

Business challenge

Design a nonprofit experience that educates, invites participation, supports donations, and engages volunteers — without losing the personal warmth that defines the organization.

Audience

Community members, donors, volunteers, partner organizations, and people seeking the organization's resources.

Design objectives

  • Lead with mission, not transaction
  • Make educational content discoverable and respectful
  • Create a clear, low-friction donation path
  • Build a sustainable volunteer engagement surface

Experience journey

  1. 01Mission-first landing
  2. 02Educational resources and assessments
  3. 03Community stories and engagement
  4. 04Donation and volunteer pathways

Architecture

  • Accessible-by-default content surface
  • Educational resource library
  • Assessment experience
  • Donation and volunteer flows

Prompt strategy

Prompts emphasize empathy, clarity, and reading accessibility — explicit constraints on reading level, tone, and inclusivity baked into every generation.

Iterative refinements

  1. 01Reordered the home page to lead with mission, not ask
  2. 02Rewrote calls-to-action for clarity and warmth
  3. 03Audited for WCAG AA contrast and keyboard navigation

Capabilities shipped

  • Mission-first design
  • Educational resources
  • Assessment experience
  • Donation flow
  • Volunteer engagement
  • Accessibility focus

Framework phases applied

  • Phase 01Mission Before Technology
  • Phase 02Audience & Use Case Definition
  • Phase 03Experience Storyline
  • Phase 04Information Architecture
  • Phase 07Iterative Refinement
  • Phase 09Quality, Security & User Testing

Lessons learned

  • Mission-first design changes conversion as much as copy does
  • Accessibility constraints sharpen everyone's experience
  • Volunteer engagement is its own product, not a sub-page

Reflection questions

  • Where does your mission disappear under transactional language?
  • What would accessibility-first design change in your current product?
  • How do you make volunteering as easy as donating?

Case study 05

Texas Brain Economy Summit Insights Hub

A long-form executive readout that turns a multi-day summit into a single, navigable strategic briefing for senior leaders.

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Texas Brain Economy Summit Insights Hub homepage screenshot
slalomsbraineconomysummitinsights.lovable.app

Executive summary

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.

Business 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.

Audience

Executives, healthcare and life-science leaders, economic development organizations, employers, and partners evaluating Brain Capital as a strategic priority.

Design objectives

  • Distill multi-day content into a clear executive narrative
  • Make complex neuroscience and economic concepts decision-ready
  • Provide a navigable structure for skim and deep read
  • Frame regional opportunity in business and workforce terms

Experience journey

  1. 01Hero framing — the Brain Capital equation
  2. 02Executive summary — five strategic takeaways
  3. 03Workforce, teams, and Brain vs Human Capital
  4. 04Neuroscience, mental health, and precision AI
  5. 05Why Texas — Houston's positioning and DPRIT model
  6. 06Partnership pathway and summit program directory

Architecture

  • Single long-form route organized into executive sections
  • Sticky in-page navigation for skim-or-deep reading
  • Image-supported sections with consistent editorial layout
  • Structured speaker, program, and 'who was in the room' directories

Prompt strategy

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.

Iterative refinements

  1. 01Reorganized from chronological summit recap to strategic narrative
  2. 02Compressed dense neuroscience into decision-ready takeaways
  3. 03Added the Brain Capital equation as a recurring framing device
  4. 04Promoted workforce and Brain Capital to the lead position

Capabilities shipped

  • Executive readout narrative
  • Brain Capital equation framing
  • Workforce and Future of Teams sections
  • Precision neuroscience and AI overview
  • Houston and Texas opportunity analysis
  • Speaker and program directories

Framework phases applied

  • Phase 01Mission Before Technology
  • Phase 02Audience & Use Case Definition
  • Phase 03Experience Storyline
  • Phase 04Information Architecture
  • Phase 05Prompt as Requirements Document
  • Phase 08Source of Truth Management
  • Phase 10Documentation & Enablement

Lessons learned

  • Executive readouts win when narrative beats chronology
  • A recurring framing device anchors complex content
  • Strategic relevance is the editor — cut anything that doesn't earn its place

Reflection questions

  • Where in your organization does dense content fail to reach decision-makers?
  • What framing device would anchor your strategy story?
  • Which audience would most benefit from a navigable executive readout?

Prompt architecture

A prompt is engineered in layers.

L1Context
  • Background
  • Constraints
  • Domain
L2Intent
  • Objective
  • Audience
  • Outcome
L3Spec
  • Functional reqs
  • Content reqs
  • Design reqs
L4Quality
  • Acceptance criteria
  • Testing
  • Accessibility