Automate with AI
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    Automate with AI


      Article summary

      Automating solutions in Quixy is easy with the help of artificial intelligence. Just ask in simple text and let the AI do the job for you. The AI will provide you with the design that you again tweak and twist till you get the desired design and once you get the desired design, process it to develop the finalized designs.

      SDLC Powered Development & Deployment (Sandbox Culture)

      Idea

      • Put the idea on the paper what process you need to automate in Quixy. Say, you want to automate Asset Management Solution.

      Design

      • Identify what all artifacts, (i.e., apps, database, reports) that are required to develop or automate the process.

      Development

      • To start the development in Quixy, first, set the platform in Development mode.

      Designing DB with the help of AI

      • Navigate to the Database -> Data tables -> Create through NLP



      Design Phase

      • Produce the idea in plain text like Design DB for Asset Management and let the platform talk to the AI in the backend.



      • AI in-return will provide you with the ER design.



      • Investigate the design provided by the AI and if you see that you need some changes to the designs to get the desired design.
      • Talk to AI again and ask for the required modifications in the design provided. Let the AI recalibrate it's design and come up with new design.



      • Follow the same iteration process by talking to AI till you get the desired design.




      Development Phase

      • Once the design is finalized, you can process the design.
      • After the design is processed, AI will collaborate with the ML and develop the DB along with the relations.
      • Once the design is developed and produced in the platform, you can still choose to do your modifications as required.
      • If you sample data into the Database, you ask AI to provide a Sample data by simply clicking Generate Data.

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      Intelligent App Designing

      • If you have any forms that you got inspired from external sources, say, you got a required Asset Management app form.
      • You can provide the same form to the App Building AI-ML engine, the engine will scan the whole form, intelligently identify all the fields along with it's types and replicate mere similar form with in few minutes.

      • You can then made any modifications to the AI produced app, make it apt to your requirements.
      • Once the form is developed, you ask the AI powered Business Rules & Validations engine to put logics to the form in a plain text.

      • The AI powered Business Rules & Validations engine will automatically configure the form's logical conditions & validations. If you wish you can then tweak the configurations as required.
      • Publish the application

      App-Database Relations

      • Once the Database and Application is ready, establish the relations between them using App Data Functions.

      Deployment

      • Once the solutions is intelligently developed, and manually tested you will have a error free solutions parked in the Sandbox Branches
      • Deploy the solution to Live.
      • You need to deploy the artifacts individually that are created as part of the solution.
      • While deploying the solution, platform will intelligently identify any dependencies and alert you to deploy the same.
      • On the solution is live, it will be available to all the users for actual use.

      Intelligent Reports and Data Filters

      NLP Reporting uses artificial intelligence to automatically analyze and summarize vast amounts of textual data, turning it into insightful reports. This saves time, improves accuracy, and uncovers hidden trends you might miss.

      EXAMPLE

      Imagine you run a business and receive a constant stream of customer emails about your products. These emails contain valuable information, but manually reading and analyzing them all can be overwhelming.

      Here's where NLP Reporting comes in:

      1. Data Input: You feed all your customer emails into the NLP Reporting tool.
      2. Text Analysis:The NLP engine goes to work, using its understanding of language to:
        1. Identify key points: It extracts important details like product mentions, customer sentiment (happy, frustrated etc.), and specific issues raised.
        2. Categorize information: It organizes the emails based on these extracted details, grouping similar comments together (e.g., complaints about a specific feature).
      3. Report Generation:Instead of a jumble of emails, you get a clear report that summarizes:
        1. Overall customer sentiment: Are customers generally happy or frustrated?
        2. Common themes: What are the most frequently mentioned topics or issues?
        3. Specific examples: The report might highlight some actual customer quotes to illustrate the identified trends.

      This allows you to quickly understand what your customers are saying. You can:

      • Address common complaints: If a specific feature is causing problems, you can prioritize a fix.
      • Identify areas for improvement: Learn what aspects of your product resonate most and which need work.
      • Spot positive trends: See if customers are particularly happy with a new feature or service.

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      NLP is now your filter companion! Whether you're diving into Reports, exploring List Screens, or managing Tasks and Recurring Tasks, our NLP-infused filters are ready to make your experience smoother than ever.

      No more fumbling with filter settings. Simply express your criteria in plain text and watch as NLP transforms your words into precise filters. It's intuitive, it's efficient – it's the future of hassle-free navigation!

       


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