Web Design
MindHYVE.ai
Agentic AI operating systems — ArthurAI, Eve orchestration, and human-in-the-loop digital employees.
Confidential work. Product visuals are omitted under client NDA. Outcomes, scope, and public links below are shared with permission.
- Role
- Manager, Agentic Experience
- Year
- 2025
- Platform
- Web, Agentic AI
- Industry
- Agentic AI & Education
- Category
- Web Design
- Client
- DV8 Infosystems · MindHYVE.ai
- Scope
- Agentic UX strategy, ArthurAI experience design, Eve orchestration flows, AI-native design systems
- Website
- mindhyve.ai (opens in new tab)
Impact at a glance
- 23+
- ArthurAI institutional deployments
- 4
- ArthurAI editions in market
- 11
- Digital Employees in portfolio
- 15+
- Countries operating footprint
Engagement
- Timeline
- 2024–Present
- Team
- Cross-functional team across product, engineering, and institutional stakeholders
- Ownership
- Owned UX strategy and experience design for ArthurAI (Agentic Learning OS) and Eve orchestration flows—including interaction models, journey mapping, and design system direction.
Context
MindHYVE.ai was building Agentic AI Operating Systems for regulated, knowledge-intensive institutions—education, healthcare, law, and theology. The platform spans a four-layer architecture: substrate, compound reasoning, digital employees, and customer-facing operating systems including ArthurAI. Adoption depended on institutions trusting AI-assisted workflows without surrendering consequential control.
My role
As Manager, Agentic Experience, I owned UX strategy and experience design for ArthurAI (the Agentic Learning OS) and Eve orchestration flows. This included journey mapping, interaction models for bounded agency, prototyping with AI-native tools, and design system direction aligned to the Eve-Fusion compound architecture—working across product, engineering, and institutional stakeholders.
Approach
Started by mapping where AI could reason versus where humans must decide—especially in education where the motto became “The AI reasons. The educator decides.” Used v0, Cursor AI, and Figma to accelerate flow exploration while curating patterns that matched institutional governance needs. Prototyped orchestration flows for Eve routing work across specialized agents, and designed Arthur’s teacher-facing experience across four institutional editions (SLE, ULE, VLE, CLE).
System design
Key decisions
- Bounded agency over full autonomy — designing for human consequential control in regulated verticals rather than “set and forget” AI.
- Orchestration visibility — making Eve’s routing and context-handoff understandable so operators trust multi-agent workflows.
- Edition-based architecture — separating institutional learning contexts (school, university, vocational, corporate) without fragmenting the core interaction model.
- AI-native delivery — using generative tools for speed, but keeping human judgment central in every design decision shipped to production.
What I learned
- Agentic UX fails when users cannot see who (or what) is acting—transparency is a feature, not a compliance checkbox.
- In regulated domains, the design question is rarely “Can AI do this?” but “Who is accountable when it does?”
- Design systems for agentic products must encode trust states—confidence, escalation, override—not just color and type.
Workflow model
Key focus areas
- Arthur — the teacher Digital Employee powering ArthurAI™, the Agentic Learning OS. Four institutional editions in market (SLE, ULE, VLE, CLE) with a fifth Personal Learning Edition on the way. Motto: “The AI reasons. The educator decides.”
- Eve — the meta-orchestrator and first Digital Employee. Routes work, coordinates specialized agents, and maintains unified context across the MindHYVE portfolio.
- Bounded agency UX — designing for human consequential control in regulated verticals (education, healthcare, law, theology) where helpers are insufficient and full autonomy is unacceptable.
- AI-native workflow using v0, Cursor AI, and Figma — from journey mapping and prototyping to design systems aligned with Eve-Fusion compound architecture.
Outcome
Delivered agentic experience design for ArthurAI and Eve orchestration — supporting MindHYVE’s mission to put elite-tier reasoning into workflows for institutions across education, healthcare, law, and theology.
Public links
Live products and company sites — no confidential UI shown here.
Design focus
What I shaped
- Web
- Agentic AI
Web Design
MindHYVE.ai
Agentic AI & Education
Scope
- Agentic UX strategy
- ArthurAI experience design
- Eve orchestration flows
- AI-native design systems
01 · Discovery
Arthur — the teacher Digital Employee powering ArthurAI™, the Agentic Learning OS. Four institutional editions in market (SLE, ULE, VLE, CLE) with a fifth Personal Learning Edition on the way. Motto: “The AI reasons. The educator decides.”
02 · Design
Eve — the meta-orchestrator and first Digital Employee. Routes work, coordinates specialized agents, and maintains unified context across the MindHYVE portfolio.
03 · Delivery
Bounded agency UX — designing for human consequential control in regulated verticals (education, healthcare, law, theology) where helpers are insufficient and full autonomy is unacceptable.
