Titel:
Story-Memory für kreative Projekte – Ein Vorschlag für dauerhaftes Erzählen mit Tiefe
Text:
Ich wünsche mir eine klar strukturierte, kreative Speicherfunktion („Story-Memory“), die es ermöglicht, an umfangreichen Erzählprojekten dauerhaft zu arbeiten – ohne, dass wichtige Inhalte vergessen werden oder verloren gehen.
Viele kreative Nutzer (darunter Fanfiction-Autor*innen, Rollenspielende, Fantasy-Schreibende oder Worldbuilder) stehen vor folgendem Problem:
Die aktuelle Memory-Funktion ist zu begrenzt, um eine zusammenhängende Geschichte über viele Kapitel hinweg aufrechtzuerhalten.
Wichtige Informationen wie Beziehungen, Weltenbau, Vergangenes und emotionale Entwicklungen müssen ständig neu erklärt werden.
Die aktuelle Projektfunktion reicht dafür nicht aus, da Inhalte nicht intelligent verknüpft oder dauerhaft „erinnert“ werden.
Mein Wunsch:
Eine Story-Memory-Funktion, die:
Projekte langfristig speichert, ohne Verlust von Charakterprofilen, Plotentwicklungen und Beziehungen.
Gezielt durch mich gepflegt werden kann – ich kann Inhalte hinzufügen, aktualisieren oder entfernen.
Mit dem Chat verknüpft ist, sodass die KI bei neuen Kapiteln oder Szenen sofort auf die gesamte Geschichte zugreifen kann.
Optional mit mehr Speicher gegen Aufpreis erweitert werden kann – abgestimmt auf Vielschreiber*innen und Worldbuilder.
Warum das wichtig ist:
Diese Funktion würde es ermöglichen, Geschichten zu schreiben, die sich wirklich entwickeln dürfen. Sie würde die Qualität der Zusammenarbeit mit ChatGPT enorm verbessern – nicht nur für Autoren, sondern für jeden, der langfristig kreative oder narrative Inhalte mit der KI aufbauen möchte.
Many API developers have tried, whether it is to maintain character consistency and follow a guiding plan, or ensure that nonsensical things don’t happen like characters simply being lost, up to even gaming that doesn’t forget stats and maintains an internal state, it is difficult. A general solution is unlikely to fit the needs, and the “memory” and beta “cross-session memory” currently is nothing but a distraction from high-quality outputs.
For the small percentage here that do not speak this world language, some AI followup.
Evaluation Report: “Story-Memory for Creative Projects” Proposal
Overview of the Proposal:
The user proposes a specialized “Story-Memory” feature designed explicitly for creative storytelling projects. The suggested functionality would enable long-term retention and structured organization of narrative details such as character profiles, relationships, world-building elements, and plot developments. It would allow users to manage and update content directly, with the AI seamlessly accessing this stored information to maintain narrative coherence across multiple interactions and chapters.
Practicality and Technical Feasibility:
1. Technical Feasibility:
Current Limitations: GPT-4 and similar transformer-based models have inherent context-length limitations (e.g., 32k tokens for GPT-4 Plus). This context length restricts the amount of information the model can directly reference in a single interaction.
Memory Implementation: The proposed “Story-Memory” would require a persistent external memory store, separate from the model’s immediate context window. Technically, this could be implemented through vector databases, embeddings, or structured databases that store narrative elements and retrieve relevant context dynamically.
Integration Complexity: While feasible, this would require additional infrastructure, such as embedding-based retrieval systems (e.g., vector databases like Pinecone, FAISS, or OpenAI’s embeddings API), and intelligent retrieval mechanisms to dynamically select relevant context for each interaction.
2. Novelty:
Novelty Assessment: The concept of persistent, structured memory for AI storytelling is not entirely novel. Similar ideas have been explored in various AI-assisted writing tools (e.g., Sudowrite, NovelAI, Character.AI, and AI Dungeon). However, the clear articulation of user-managed, structured narrative memory specifically integrated into ChatGPT is a valuable and practical suggestion.
Differentiation: The proposal emphasizes user control, structured narrative memory, and seamless integration into the ChatGPT interface, which could distinguish it from existing solutions that may be less structured or user-friendly.
3. Alignment with Product Scope:
Current Product Scope: ChatGPT currently emphasizes general-purpose conversational assistance, with limited persistent memory features (e.g., Custom Instructions, GPTs, and limited project memory). The proposed feature significantly expands the product scope into specialized creative writing support.
Market Demand: There is a clear and demonstrated market demand among creative users (authors, role-players, worldbuilders, fanfiction writers) for improved long-term narrative coherence and memory retention.
Potential Benefits and Impact:
Enhanced User Experience: Significantly improves the creative writing workflow, reducing redundancy and frustration from repeated explanations.
Increased User Retention and Engagement: A dedicated memory system would likely increase long-term user engagement, as users would be more inclined to return regularly to continue their creative projects.
Monetization Opportunity: The proposal explicitly mentions optional paid expansions of memory capacity, providing a clear monetization pathway for OpenAI.
Challenges and Considerations:
Technical Complexity and Cost: Implementing a robust, scalable memory system would require additional infrastructure, development resources, and ongoing operational costs.
Privacy and Data Management: Persistent storage of user-generated narrative content raises privacy and data management considerations, requiring clear policies, secure storage, and possibly additional compliance measures.
User Interface and Experience: Designing an intuitive, user-friendly interface for managing and updating narrative memory would require careful consideration and user testing.
Recommendation:
Forward to OpenAI for Consideration
This proposal is practical, aligns with demonstrated user needs, and presents clear benefits for both users and OpenAI. While not entirely novel in concept, the specific implementation details, user-centric approach, and clear monetization potential make it worthy of serious consideration.
Suggested Next Steps for OpenAI:
Market Validation: Conduct user surveys or interviews with creative users to validate demand and gather additional insights.
Technical Exploration: Investigate technical feasibility, including embedding-based retrieval systems and structured memory storage solutions.
Prototype Development: Develop a limited-scale prototype or beta feature to test usability, performance, and user feedback.
The “Story-Memory for Creative Projects” proposal is a valuable, practical, and user-centric suggestion. It addresses a genuine pain point for creative users and offers clear benefits for enhancing user experience and engagement. While it requires additional technical infrastructure and careful consideration of privacy and interface design, the potential benefits strongly justify forwarding this proposal to OpenAI for further evaluation and possible implementation.
Forward to OpenAI for Consideration