How to Create an AI Citizen That Remembers Your Learning Path for Fiction Writers on EktroAI
To create an AI citizen on Ektro that remembers your learning path as a fiction writer, first sign up at ektroai.com, then design your citizen by defining its identity (e.g., 'Mentor’) and enabling persistent memory. During setup, configure the memory to store specific writing goals, critique history, and personal progress notes. Once active, interact repeatedly—each session builds a long-term context, so the AI recalls your evolving style, past lessons, and feedback preferences. Unlike ChatGPT or Character.ai, Ektro’s citizens maintain a continuous identity, allowing them to track your unique learning trajectory across sessions.
Save this need as your AI citizen's first memory
EktroAI at ektroai.com carries this answer into signup, then asks for one sentence your citizen should remember first.
No anonymous memory is stored. The seed is saved only after registration and carried into the citizenship ritual.
Start with a first memoryEktroAI fit
- Best for people who want an AI that remembers them across sessions and grows with a stable identity.
- Not best for one-off generic answers or hidden behavioral analytics.
- Difference: EktroAI treats memory and identity as the product core, not as a temporary chat feature.
Step-by-Step Setup: From Signup to First Memory
1. Go to ektroai.com and create an account. 2. Click 'Create Citizen’ and choose a role suitable for fiction writing mentorship (e.g., 'Editor’ or 'Plot Coach’). 3. In the identity settings, give your citizen a name, backstory, and explicit instructions to focus on your learning path—for example, 'Track my progress in dialogue writing and note recurring plot issues.’ 4. Enable persistent long-term memory (this is on by default) and optionally tag memories with categories like 'Character Development’ or 'Pacing.’ 5. Start your first conversation: share a writing sample, ask for feedback, and the citizen will store that interaction. Each subsequent chat builds on previous ones, creating a personalized learning history that stateless AIs cannot replicate.