Aleksandr Nikolaev

Aleksandr Nikolaev

AI runtime architecture, not prompt's
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Aleksandr Nikolaevleft a comment
Looks great. But at this point the industry doesn’t need more prompts — it needs architecture: memory, state, control flow, roles, and runtime logic. Models are powerful. Systems around them are still mostly missing.
GPT-5
GPT-5OpenAI’s most advanced model
Aleksandr NikolaevhuntedJarvis Runtime
Architecture-first AI runtime that separates intelligence from language models. Jarvis Runtime treats LLMs as replaceable language engines, not system brains. It provides stable behavior, persistent memory, and long-term context continuity outside the model layer. Designed for developers building production-grade assistants, not prompt experiments.
Jarvis Runtime
Jarvis RuntimeA runtime-first AI architecture. Not another chatbot.
Aleksandr Nikolaevleft a comment
Jarvis Runtime was built to solve a simple but persistent problem: LLMs are powerful, but prompt-based behavior breaks over time. Instead of embedding logic into prompts, Jarvis runs intelligence at the system level — with persistent memory, explicit control, and long-running execution. The goal is stability: – stable behavior over weeks and months – model-agnostic architecture – no prompt...
Jarvis Runtime
Jarvis RuntimeA runtime-first AI architecture. Not another chatbot.
Aleksandr Nikolaevleft a comment
Interesting approach. How do you handle long-running state and behavioural consistency when automations evolve over time? Especially when prompts change but the system is expected to remain stable.
Aident AI
Aident AIBuild automations with natural language, not workflows