If you can put the system you have in mind into words, AINNA can start building it.
That’s the principle behind NeuralOps. The people who know how the work gets done can describe what the system needs to do in their own words. AINNA, our AI agent, turns those instructions into a system they can review and refine.
Through Web-CLI, our browser-based command-line interface, a warehouse manager could say, “Build a system that lets my team record incoming stock, check what’s available and get an alert when stock runs low.”
AINNA can build the stock intake form, add the logic for calculating stock balances and set up low-stock alerts. If the team needs a different alert threshold for each product, they can describe that rule and ask AINNA to update the system in the same workspace.
The same workflow can help teams build internal systems, develop web applications and manage server tasks. They can start with what they know about their operations, even without a programming background.
So far, we’ve used NeuralOps to support two factories and one state government with their system development needs.
What system have you been picturing that you’d like to put into words?
#AINNA #NeuralOps #AIAgent #BusinessAutomation
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Bagus ada yang tulis pasal check what’s available and get dengan jelas.
Already sent this to two people. add the logic for calculating is why.
First piece I have read that treats command-line honestly.
The direction on that’s the principle behind neuralops is exactly right.