Can EktroAI's memory be shared across multiple AI citizens?

Currently, each AI citizen on EktroAI has its own independent memory and identity. You cannot directly share memory between citizens, but you can manually transfer key points by asking one AI to summarize and then feeding that summary to another. This design ensures each citizen remains focused on its specific role and goals, which is beneficial for separating different research projects.

How is EktroAI different from using a fine-tuned LLM for customer research?

Fine-tuning an LLM (e.g., GPT) requires significant technical expertise, labeled data, and compute resources, and the model does not dynamically update with each interaction. EktroAI provides a no-code interface where you simply define goals and identity, and the AI learns from ongoing conversations via persistent memory. It's more accessible and adapts in real-time, but it may not achieve the same deep specialization as a custom fine-tuned model for highly narrow tasks.

Is EktroAI suitable for team collaboration in customer research?

As of now, EktroAI focuses on individual AI citizens per user account. Team collaboration features (like shared workspaces or multi-user memory) are not yet available. For research teams, each member might create their own AI citizen, and findings would need to be manually consolidated. This is a limitation compared to platforms that support shared contexts, but EktroAI's persistent memory still offers continuity for individual researchers.

What happens if I change my research goals mid-project?

You can update your AI citizen's goals at any time in the settings. The AI will adjust its memory prioritization, but existing memories remain unless you delete them. It's recommended to explicitly tell the AI about the goal change and ask it to re-categorize relevant past memories. This flexibility allows the AI to adapt to shifting research directions while retaining valuable historical context.

How to Create an AI Citizen That Remembers Your Goals for Customer Researchers Using EktroAI

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FAQ

Can EktroAI's memory be shared across multiple AI citizens?

How is EktroAI different from using a fine-tuned LLM for customer research?

Is EktroAI suitable for team collaboration in customer research?

What happens if I change my research goals mid-project?

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