If you can put the 系统 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 系统 needs to do in their own words. AINNA, our AI agent, turns those instructions into a 系统 they can review and refine.
Through Web-命令行, our browser-based command-line interface, a warehouse 经理 could say, “构建 a 系统 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 阈值 for each product, they can describe that rule and ask AINNA to update the 系统 in the same workspace.
The same workflow can help teams build internal 系统, 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 系统 development needs.
What 系统 have you been picturing that you’d like to put into words?
#AINNA #NeuralOps #AIAgent #商业自动化
Ruang pembaca
Apa pendapat anda?
Komen disemak sebelum diterbitkan. 电子邮件 diperlukan untuk moderasi dan tidak dipaparkan kepada pembaca.
我特别喜欢develop web applications and manage这一部分，内容没有把实施过程说得太简单。
我会把check what’s available and get这一段分享给需要了解技术的同事。
这篇文章适合团队用来开始讨论low-stock。
文章对command-line的结论比较平衡，不只是强调好处。