Founder using OpenAI to build a memory-based assistant — looking to contribute to next-gen testing

Subject:

Offering to participate in early testing of memory-based or personalized AI assistants:

Hi OpenAI team,

My name is Daniel, I’m the founder of Cycle Platform, a traceability and product intelligence SaaS using NFC and AI to create connected products (fashion, cosmetics, food, etc.). I’ve been working closely with your APIs (ChatGPT and GPT-4 Turbo, and O1Pro) to build two custom assistants:
• A personal assistant running locally on my Mac, built in Python, with persistent memory via a structured folder system.
• A business assistant connected to our SaaS, helping teams query product data (UUIDs, SKUs, composition, traceability, sustainability, user’s performance, etc.) through natural language. It’s live and working.

I would love to participate in early testing of any upcoming initiatives involving:
• Long-term or embedded memory.
• Persistent identity anchoring.
• AI agents that evolve over time and integrate deeply with a user’s digital world.

I’m fully open to sharing my personal memory base, use cases, structure and development progress, as I believe in the future of human-AI collaboration and trust OpenAI far more than public institutions when it comes to responsible data handling.

This is not just a test for me — it’s part of how I live and work.
If you’re looking for real-world testers with long-term vision, I’d be honored to join.

Thank you for everything you’re building.

Warm regards,
Daniel
Barcelona, Spain
Founder, Cycle Platform
www.cycle-platform.tech
daniel@cycle-platform.com