We already have AINNA WebCLI built and running in production as part of our Agent AI infrastructure.
Behind it sits NeuralOps - combining Smart Routing, Detached Systems, specialised parsers and multi-model orchestration to decide when AI is actually needed, which model should take the call, and when a task should bypass the LLM entirely.
For routine workflows, this architecture can cut unnecessary token usage by up to 90%.
Our moat is the architecture, workflow intelligence and execution efficiency behind the agent.
#AINNA #NeuralOps #AgentAI #AIInfrastructure #WebCLI #EnterpriseAI
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Kami sedang menghadapi 9 di kantor. Berguna.
Honestly, specialised parsers and multi-model surprised me.
ตัวเลขเรื่อง9สมเหตุสมผลกว่าบทความอื่นที่อ่านมา
Bookmarked, mostly for multi-model.
Worth reading for which model should take alone.