
RemoteViz.ai
Company: Personal project
Role: Founder, designer, developer
Timeline: March 2025 - present
Overview
Remote Viewing is a structured practice for perceiving information about distant or unseen targets, often using controlled protocols developed during the CIA’s Stargate Project. It’s a fascinating intersection of intuition, psychology, and exploration—and a subject I developed a strong personal interest in.
As a beginner, I found group practice settings intimidating. Weekly targets took too long to receive feedback, and by the time results came in, I often forgot what I had submitted or even where to check for responses. I wanted a tool that gave me the freedom to practice independently, with instant, trustworthy feedback. That desire became the spark for RemoteViz.ai.
Problem
ChatGPT would alter remote viewing targets to fit the user’s background, producing artificially high accuracy.
A method was needed to “lock” the target so it remained unchanged until the user explicitly requested a reveal.
Insights
Interest in Remote Viewing and psi phenomena is rapidly expanding, with vibrant communities on Reddit, Facebook, and Discord. Many enthusiasts are looking for accessible, easy-to-use platforms that provide immediate feedback and help them strengthen their skills.
Solution
I created RemoteViz.ai, a web app designed for anyone to practice Remote Viewing at their own pace with AI-assisted structure and feedback.
Design & Development
Designed the interface in Figma
Imported into Lovable via Builder.io for rapid prototyping
Troubleshot functionality with ChatGPT and Google Gemini
Target Generation
Integrated Google Maps API for Street View location targets
Built a download feature to capture Street View image pans
Integrated Unsplash API for random photographic image targets
AI Feedback & Evaluation
Built a custom OpenAI Assistant, RAG-trained with Controlled Remote Viewing (CRV) methodology and CIA Stargate protocols
Targets remain locked until reveal to ensure integrity of practice sessions
Platform Infrastructure
Code managed with GitHub
Targets and user impressions stored in Supabase
CRM and email communication handled via Resend + Supabase
Monetization Model
Integrated Stripe for a token-based system
New users start with 100K free tokens
Users can pre-pay to add tokens as needed—no subscription fees
Community Engagement
Shared with Remote Viewing communities on Facebook, Reddit, and Discord
Designed to grow through feedback, conversation, and community involvement
Results
RemoteViz.ai has already gained traction with an early user base in the double digits and growing. Early feedback highlights both its accessibility and authenticity:
“Well, I did one target today and had a hit... the system worked and that was pretty, cool.”
“Pretty neat! Good idea to have it use random Unsplash images / Google Maps locations rather than AI-generated images.”
Users are successfully completing targets, sharing experiences, and validating the app’s value as a low-barrier entry point into the world of Remote Viewing.