The first practical solution to AI’s biggest unsolved problem: PersistentMemory™

The Problem

Every AI system today — from ChatGPT to Gemini — suffers from instant amnesia. It forgets everything when a session ends. That makes AI untrustworthy for the domains that matter most: therapy, education, healthcare, enterprise – and online dating.

Without continuity, there is no trust — and without trust, there is no adoption. Read this and this and this.

Systems that “remember” user data often degrade over time — they forget earlier context or misremember facts. Memory introduces catastrophic forgetting: every new fact risks overwriting old knowledge.

Without explicit retrieval, relevance ranking, and conflict resolution, memories become noise. Developers are still struggling with questions like: What should be remembered? For how long? And when should it be forgotten?”

The Solution

I’ve designed a lightweight, modular architecture that gives AI persistent, ethical memory.

It mirrors human cognition (short-term, episodic, long-term) and adds explicit consent and provenance tracking.

Each layer knows what to remember, what to forget and why it’s allowed to remember it.

It’s for every system that needs trust to scale.

Why It’s Different

  • Built around human trust, not just data retention
  • Consent, redaction and provenance are core features, not add-ons
  • Lightweight enough to implement immediately on existing LLM frameworks
  • Scales horizontally across all verticals where continuity drives value

Market Impact

Persistent, safe memory transforms AI from a toy to an assistant. Whoever owns the memory layer becomes the backbone of trusted AI — a market easily exceeding $100 billion.

Call to action

Seeking partners who understand that the next AI frontier isn’t bigger models — it’s better memory: PersistentMemory™

The punchline

I’m using AI to fix the flaw that defines AI: its inability to remember. It’s ironic, maybe even poetic.

Note: This overview omits the technical specifications of the consent-gated architecture, which are under development.

Concept and architecture © 2025 BrassTacks Design, LLC. Technical specifications withheld pending formal development and partner review.

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My name is Alan Jacobson. I'm a web developer, UI designer and AI systems architect.

I have 13 patent applications pending before the United States Patent and Trademark Office. They are designed to prevent the kinds of tragedies you can read about here.

I want to license my AI systems architecture to the major LLM platforms—ChatGPT, Gemini, Claude, Llama, Co‑Pilot, Apple Intelligence—at companies like Apple, Microsoft, Google, Amazon and Facebook.

Collectively, those companies are worth $15.3 trillion. That’s trillion, with a “T” — twice the annual budget of the government of the United States. What I’m talking about is a rounding error to them.

With those funds, I intend to stand up 1,414 local news operations across the United States to restore public safety and trust.

AI will be the most powerful force the world has ever seen.

A free, robust press is the only force that can hold it accountable.

You can reach me here.

© 2025 BrassTacksDesign, LLC