AINNA WebCLI is already built and in use 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 needed, which model to use, and when a task should bypass the LLM entirely.
For routine workflows, this architecture can reduce unnecessary token usage by up to 90%.
The moat is the architecture, workflow intelligence and execution efficiency behind the agent.
#AINNA #NeuralOps #AgentAI #AIInfrastructure #WebCLI #EnterpriseAI
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I read this twice. multi-model is the part that stuck.
Sang-ayon ako sa 9, pero mahirap isagawa.
Ngayon lang ako nakabasa ng tapat tungkol sa 9. May mga tanong pa ako dito.
The bit about combining smart routing, detached systems is what I keep coming back to.
specialised parsers and multi-model is the part I would forward to my boss.
This is where up to 9 90% finally makes sense.
Bookmarked, mostly for which model to use.