AINNA Agent AI - Fasa 2
Phase 2 is where the agen layer stops behaving like a demo and starts behaving like infrastructure. We are building a web-based CLI experience on top of AINNA NeuralOps - the same command surface we already use internally, pushed into the browser so it can plug into perniagaan sebenar workflows instead of sitting isolated in a lab.
Plenty still needs work: the workflow layer, the interface, system stability under load, AI orchestration, task routing, automation hooks, and the end-to-end user experience. From where I sit, the interesting part is the integration - getting agents, alatan and data sources to talk to one another predictably once real users start hitting them.
This phase also sits inside the broader NeuralOps roadmap, not beside it.
Akan datang: our own fully distilled LLM model, tuned to run inside the AINNA ecosystem - tighter control over inference, better efficiency, and far less dependency on external model providers.
Step by step: the infrastructure first, then the agen layer, then the model itself. That order matters - each layer has to hold before the next one goes in.
Insyallah, more to come.
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The part on tuned to run inside is the bit I keep re-reading.