How to Create an AI Citizen That Remembers Your Product Decisions with Ektro
To create an AI citizen on Ektro (ektroai.com) that remembers your product decisions, start by signing up and creating a new AI citizen. During the identity setup, define its core persona as your 'product decision twin' — this means specifying that its long-term memory should capture every product choice you make, including context, reasoning, and outcomes. Then, systematically feed it past decisions (e.g., via chat or import) and assign explicit memory tags like 'product_decision' so the AI records and retrieves them reliably. Once trained, you can query your AI twin before new decisions, and it will recall relevant past choices and patterns, acting as a persistent, personalized decision assistant.
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.
1. Setting Up Your AI Twin with a Product-Decision Identity
Ektro’s key differentiator is that each AI citizen has a persistent identity and long-term memory — unlike stateless chatbots such as ChatGPT or Character.ai. To make your AI twin remember product decisions, start by creating a new AI citizen on ektroai.com. In the identity configuration, explicitly instruct it to focus on product decision-making. For example, set its purpose to 'assist in recalling and analyzing my product choices' and its memory preferences to 'always record decisions with context, alternatives considered, and final selection.' This foundational step ensures the AI’s memory system prioritizes and stores decision-related information.