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Case study: Medicare appointment setter. I built a voice-first appointment-setting workflow connecting Vapi, Make, and Google Calendar. It is designed to move appointment requests from conversation through automation to a calendar handoff, aiming to reduce manual scheduling coordination. No performance metrics are included because I don't have verified results to share.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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nice that it tracks the callback until someone actually handles it. which businesses is this built for, trades or more like clinics
AI Automation SaaS Landing Page
A modern AI automation SaaS website design focused on simplifying workflows, automating repetitive tasks, and helping businesses work smarter. Designed with a clean interface, intuitive user experience, and a scalable visual system to communicate the value of AI-powered automation.
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🚀 New project added to my Contra portfolio - Dynamiq AI!
I’ve just added Dynamiq AI to my portfolio, a project in the AI space that gave me another opportunity to explore the intersection of technology, product design, and user experience.
When designing digital products, I believe the goal goes beyond creating an attractive interface. It’s about making complex ideas easier to understand, helping users navigate the experience intuitively, and presenting information in a way that feels clear and purposeful.
🤖 What makes the product interesting:
→ Building AI agents and automating complex workflows
→ Connecting AI to business tools, knowledge bases, and data
→ Managing AI agents with security controls and human approvals
→ Monitoring performance and evaluating results
These are the kinds of challenges that make product design exciting for me — turning complex functionality into experiences that feel simple and natural to use.
✨ Always happy to explore new ideas, experiment with different approaches, and share more of my work along the way.
🔗 Check out Dynamiq AI: https://www.getdynamiq.ai/
The interviews with engineers and compliance reviewers caught my attention. What did the reviewers need to see before approving an agent action, and how did that change the approval screen?