Role
Visual Design Lead | Product Designer
Timeline
June - September 2025
Tools
File:Figma-logo.svg
How to Create Ads in Google VEO 3: A Complete Guide | Syllaby.io

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Skills

User Research, Prototyping, Motion Design

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Overview

MyWorker.AI is an AI sales platform that automates lead generation and management for small teams.

Problem:

Early stage startups lose leads due to cold, transactional AI

AI automation acts like a barrier, not a bridge. Non-engagaing/complex sales tools and AI skepticism prevent trust and user conversion.

Approach: 

We conducted founder interviews, competitor analysis, and user flow mapping. This uncovered user pain points around transparency, control, and cognitive overload in existing sales automation tools.

Design Outcome

AI agent designed for radical trust

AI transparency and avoiding uncanny valley

Platform that nurture, engages, and convert leads

Skip to Research Summary

Research

Initial Hypothesis

‍Users drop off during setup due to friction, lack of guidance, and skepticism about AI. Adoption requires trust and personalization before they feel comfortable relying on automation.

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‍Setup barriers: connection friction and AI skepticism derail engagement

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‍‍‍‍MyWorker.AI’s excitement fades because a dashboard alone creates no emotional connection.

Could an AI sales avatar simulate weak ties to create a sense of connection that resonates with users?

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We studied AI Video Agents to determine if they could create human-aware interactions that connect users

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Through white paper research on topics such as building trust in AI systems and psychological & ethical implications of human-like AI we found that video agents can:

  • Visually represent AI, making automation feel approachable and accountable.
  • Adapt tone, expression, and messaging, giving prospects a sense of human-aware interaction.
  • Combine automation, conversation, agent into a single, cohesive system rather than a patchwork of tools.
‍Research Challenge 

‍How might we design and deploy an AI video sales agent that builds trust, enhances engagement, and feels contextually appropriate across MyWorker.AI’s platforms?

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Overall, our research highlighted a clear opportunity: design a system that feels human-aware, transparent, and aligned with founders’ values, bridging the gap between cutting-edge technology and the emotional needs of users. This informed our design principles below.

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‍How might we design a transparent AI solution that earns radical trust to nurture, engage, and convert curious visitors into qualified leads?

‍From research to design principles:
  • Immersion: Because users crave human-aware interaction, the AI should feel like a natural extension of the founder’s workflow.

  • Transparency: To build trust and reduce skepticism, the interface visually communicates when an action or output is performed by AI.
  • Progressive Disclosure: Features are introduced gradually, easing users in and reinforcing confidence over time.

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Key Insights:

  • Automation alone isn’t enough. Founders and users need a system that combines efficiency with human-aware empathy and transparency to sustain engagement and trust.
  • Why AI Avatar: An AI avatar bridges this gap — it humanizes automation, visually represents the AI, adapts to tone and context, and creates a sense of weak-tie connection that sustains engagement, builds trust, and strengthens adoption.

Design Process

After setting design goals, we mapped user flows, defined features, and brainstormed concepts.

We ultimately focusing on a digital concierge to demo products, book founder calls, and guide users through the startup’s services.

Low-Fi take-aways:

  • Placement of agent top-right (non-intrusive, distinct from chatbot)
  • Kept content within modal for immersion and engagement

Mid-Fi take-aways:

  • Established modal value breakpoints: minimized, 50% width, 100% width
  • Refined core interactions around scaling and engagement
User Testing

After conducting user testing, we optimized the interface by improving placement and sizing of multiple features and adjusting user flows for providing fast value.

Two of these changes in design include:

Cognitive load reduction on output messages

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Making the UI more immersive by making it less chat-like
‍Guiding Principles for Designing an AI interface
  • Progressive Disclosure: Introduce advanced features gradually to reduce friction and encourage interaction.
  • AI Transparency: Visual language (gradient) signals AI activity; explain recommendations to build trust.
  • Nurture → Engage → Convert: Start with empathy and immersion, then move to speed and efficiency to provide quick value and drive conversion.
AVOIDING UNCANNY VALLEY

Hyper-Tailored Google Veo prompting to design agent micro-states that avoid uncanny valley

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Feasibility

We designed for North Star Vision. Technology is not there yet in terms of time and cost-effectiveness. Temporary pivot to a text-based AI experience.

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OverviewDesign OutcomeResearchDesign ProcessImpact and Feasibility