Ask
Start with a natural question.
Creative Technology · AI Product Development · Digital Operations
MARA
Managed AI Retrieval Assistant
AI Project Concierge + Smart Operations Agent
MARA is a conceptual AI product developed by LuCre8z to demonstrate how conversational AI can become a digital front door to organizational knowledge and business operations.
Working front-end prototype · Development in progressThe published Framer experience demonstrates MARA’s interface, navigation, conversation flow and intended user experience. It is not yet a finished or production-connected AI system.
Launch interactive prototype →
Case Study / Makiya Lesley · LuCre8z
- Project type
- Creative Technology Product / Working Prototype
- Role
- Creative Technologist · AI Product Developer · Product Strategist · Conversational UX Designer
- Scope
- AI product strategy · Conversational UX · Knowledge architecture · Interface development · Digital experience direction · Proposed technical architecture
- Status
- Working Front-End Prototype / Technical Architecture in Development
- Development began
- 2026
- Platform
- Framer
- Deliverables
- Product premise · Interface prototype · Information categories · Conversation concept · Proposed technical roadmap
LuCre8z developed the product concept, information structure, interface and front-end experience demonstration. The organizational setting is fictional. Knowledge retrieval and business-system connectivity are proposed capabilities, not functioning integrations in the current demo.
The concept
A digital front door to organizational knowledge.
Rather than requiring users to search through multiple webpages, documents, policies, procedures, portals, and resources, MARA is designed to help people ask questions naturally, retrieve relevant information, and move toward the appropriate next action.
The prototype is presented through a fictional construction and infrastructure company to demonstrate how an AI concierge could support clients, vendors, subcontractors, and project stakeholders.
The challenge
Important information is often scattered.
Organizations often have important information spread across websites, documents, policies, project systems, spreadsheets, internal resources, and multiple departments.
Finding one answer can require navigating several pages, contacting staff, or searching through documentation.
MARA explores a different experience:
Retrieve
Locate relevant approved knowledge.
Understand
Present information in a clear conversational context.
Act
Move toward the appropriate next step.
Key decision
Start with a question.
- Decision
- Use conversational interaction as the front door to organizational information.
- Why
- A visitor may know what they need without knowing which department, document or policy contains it.
- Impact
- The interface direction prioritizes question entry, understandable categories and a route to the next action. The prototype illustrates that flow; it does not validate retrieval accuracy.
The experience
Designed as a digital operations specialist.
MARA is designed as a digital operations specialist rather than a generic chatbot.
Users can interact conversationally with the assistant to navigate project information, company services, safety and compliance, vendor requirements, project documentation, and policies and procedures.
The prototype illustrates how approved organizational information could be presented through a branded conversational interface. Live retrieval remains part of the proposed technical architecture.
Current vs. planned
A working experience prototype with a larger technical roadmap.
The current Framer prototype proves the front-end product direction. It is a working demonstration of how people could navigate and experience MARA—not a finished, production-connected AI system.
Current Prototype
- User experience
- Interface
- Navigation
- Conversation concept
- Front-end interaction
- Customer journey
- AI concierge experience concept
Future / Planned Technical Architecture
- RAG / Retrieval-Augmented Generation
- Knowledge-base connectivity
- API integrations
- Multimodal AI
- Agentic workflows
- Business-system integrations
- Live information retrieval
- Automation + scheduling
- Lead capture
Key decision
Trust begins with the knowledge source.
- Decision
- Plan retrieval around organization-approved knowledge.
- Why
- A business-facing assistant needs controlled information and accountable answers for its context.
- Impact
- The proposed architecture requires source management, permissions, citations and evaluation before production use. These are development requirements, not completed capabilities.
Role + product direction
Creative technology shaped for operations.
LuCre8z Role
- Creative Technology
- AI Product Development
- Product Strategy
- Conversational UX
- Knowledge Architecture
- Digital Experience Direction
Prototype Demonstrates
- AI concierge design
- Branded conversational interface
- Information architecture
- Front-end navigation
- Digital operations concept
- Web-based product prototyping
- Customer journey design
Key decision
Demonstrate complexity in a fictional organization.
- Decision
- Use a construction and infrastructure setting for the experience prototype.
- Why
- Policies, projects, vendors, safety information and multiple stakeholders make fragmented knowledge a concrete product problem.
- Impact
- The demonstration shows how one entry point could route different needs without presenting fictional organizational content as client data.
Status
Working Front-End Prototype / Proof of Concept
Front-end prototype live · Product development in progress
The current Framer demo is proof of MARA’s front-end experience: its navigation, branded interface, conversational flow, information categories and intended path from a question toward a relevant answer or next action.
It does not represent a finished production deployment. Live knowledge retrieval, source citations, secure data connections, business-system integrations, workflow automation, agentic actions and other backend capabilities remain part of future development.
Process + product artifacts
From a question to a next step.
This proposed UX specification makes the product direction reviewable. It is a design artifact, not evidence of a connected retrieval system or completed user research.
Audience + scenario
A subcontractor needs onboarding requirements but does not know which document or department owns them. The product goal is a clear route to approved information and the right contact.
Information architecture
The proposed entry points group questions into project information, policies, safety, vendor requirements and documents. Each production answer would need an accountable source and an appropriate access level.
Conversation flow
Ask a question → clarify the project or role → show an approved source and answer → offer the next action. When a source is missing or access is restricted, explain the limit and route to a human contact.
Knowledge requirements
For production: document owner, version, review date, permissions and source link. Permissions must be enforced before retrieval, and outdated or conflicting information must be flagged.
My role + deliverables
Makiya developed the product premise, information categories, interface direction and front-end prototype. The deliverables include the experience demonstration, conversation concept and proposed technical roadmap.
Next validation steps
Test realistic tasks with representative project stakeholders. Observe task completion, time to find information, wrong turns, recovery and source comprehension. Production evaluation must separately test accuracy, permissions and escalation.