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Streamlining Content Review and Modification with AITable.ai, Make.com, and OpenAI

Artificial Intelligence (AI) has been a game-changer in content production, automating the process to an unprecedented degree. However, one cannot overlook the fact that AI-generated content, while innovative and efficient, may sometimes fall short of meeting specific requirements. Similar to the need for optimizing and adjusting prompts, AI-produced content occasionally requires modifications.

Thankfully, with AITable.ai, Make.com, and OpenAI, you can effortlessly set up an automated workflow for content review and modification, eliminating the need for manual adjustments.

The Power of AITable.ai in Streamlining Workflow Automation

AITable.ai simplifies workflow automation by transforming your data effortlessly with its Visual AI Database. As we explored in a previous article, AITable.ai connects to over 6,000 applications via platforms like Albato, Zapier, Make, Pabbly, and Activepieces.

By linking AITable.ai with OpenAI via Make.com, we can automate blog content production. Building on this foundation, we can further enhance the workflow by incorporating review and modification modules in the process.

Step-by-Step Guide to Automated Content Review and Modification

The following steps supplement the automated content production process we previously outlined. If you need guidance on that process, refer to our earlier blog.

Step 1: Operationalizing the Review and Modification Process

First, add a new field to the ‘blog creation’ table in AITable called ‘Suggested amendments’, where editors can provide suggestions for content review and modification. Additionally, add a new option ‘Revise’ to the existing ‘Status’ column.

Next, modify the ‘send web request’ automation in AITable.ai to ensure that the participant information is received by Make.com. For the trigger, select ‘Record Matches Conditions,’ and set the condition to activate when the status changes to ‘Revise’.

For the action, choose ‘Send Web Request’ and modify the necessary information accordingly. The JSON text in the ‘Body’ should include the variables ‘status’, ‘Content’, and ‘Suggested amendments’.

Streamlining Content Review and Modification with AITable.ai

In Make.com, open the ‘blog creation Scenarios’ and test whether the data capture is successful. Following this, add a new router after the webhook to distinguish between trigger situations.

Streamlining Content Review and Modification with AITable.ai

Connect the existing OpenAI branch, setting the filter condition to execute the workflow of this branch when the status is ‘Draft creation’.

Streamlining Content Review and Modification with AITable.ai

Step 2: Creating a New Branch for Revisions

Next, create a new branch with the filter condition set to execute the workflow of this branch when the status is ‘Revise’.

Streamlining Content Review and Modification with AITable.ai

Following this, create a new module, again selecting OpenAI. For the method, choose ‘Create a Chat Completion’, select the model and role, and fill in your prompt in the message content. The key here is to modify the ‘Content’ based on the ‘Suggested amendments’ and output the complete article content using variables from AITable.ai. Set ‘Maxtokens’ to 0.

Streamlining Content Review and Modification with AITable.ai

Step 3: Finalizing the Process with AITable.ai

For the final step, add AITable.ai as the last module, selecting ‘Update Records’ as the action. Connect your AITable.ai account, select the corresponding space and table, and fill in the results generated in the previous steps to the corresponding variables in the configuration panel.

Streamlining Content Review and Modification with AITable.ai

After successful testing, save and publish the scenario.

The Implications of Office Automation with AITable.ai

Automating office tasks with AITable.ai can revolutionize your workflow by significantly improving efficiency. By adding automated review and modification steps to your blog production workflow, you not only save time but also ensure consistency in content quality. You retain control over the content direction while allowing AI to handle the demanding task of content modification based on your feedback. This frees you up to focus more on strategic tasks and innovation.

Embrace the future of content production and let automation do the work for you. With AITable.ai, Make.com, and OpenAI, you can streamline your blog production, ensuring a consistent flow of high-quality content while saving valuable time and resources. Start your journey towards efficient content production today!

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Data Workflow Automation with AITable.ai, Albato, and OpenAI

Data management is an integral function in any organization. However, its complexity often poses challenges. With the integration of AITable.ai and OpenAI through Albato, data management is significantly simplified, facilitating automation of data workflows.

AITable.ai offers a robust platform for structured data organization while OpenAI provides the capability to utilize this data flexibly. Albato, the latest supported integration by AITable.ai, acts as a seamless bridge between these two, facilitating real-time data transfer and workflow automation.

Furthermore, by incorporating Avantis AI‘s market intelligence capabilities, organizations can unlock critical insights from securities filings, news, and market data, enriching their data management processes and enhancing decision-making.

From organizing your data systematically to extracting valuable insights, and from content creation to CRM and project management, automated workflows can provide significant assistance. This article will take building an automated content creation workflow as an example to demonstrate the power of combining these three elements together.

Step-by-Step Guide for Automated Content Creation Workflow

Automated content creation, powered by the integration of AITable.ai and OpenAI via Albato, is a game-changer in the realm of content creation. It goes beyond merely streamlining the content creation process.

The workflow brings efficiency, consistency, and scalability. It frees up your team’s time, allows for consistent brand voice and style across all pieces of content, and makes it possible to produce a large volume of content in less time.

Setting up this Automated Workflow is straightforward.

Step 1: Setting up trigger conditions and actions in AITable.ai

Login to AITable.ai and create a new datasheet with corresponding fields. Let’s assume a simple content creation scenario where a linkedln post is automatically written based on the given keywords.

Therefore, the table must include these fields: number, status, keyword, formula field (a formula written by yourself containing the keyword variable for the prompt received by OpenAI), output (the post text output by OpenAI).

Then you need to create a new Automation to associate the table data with Albato. This is the first step in the automation workflow. The trigger is set to execute the action when the option of the status field is writing. Then select send web request for action and configure relevant parameters as required:

  • Request method：POST
  • Request address：get form Albato
  • Body：Enter JSON texts in the body, the parameters that need to be synchronized are prompt, output and recordID.

Step2: Get web hook URL from Albato

One of the most important parameters, Request address, needs to be obtained from Albato. Log in to Albato, open the App tab in the top menu bar. Click the Add a connection button.

Select the app from the list or use the search bar. Pick the Webhook service. Configure and save according to the instructions, and you will get the webhook URL. Return to AITable.ai to fill in and save, and publish the automation.

Data Workflow Automation with AITable.ai, Albato, and OpenAI

How can I verify that this step was successful? In AIbato’s webhook interface, click catch a webhook to test.

In AITable.ai, change the status of any row to writing. If Albato receives a web request from AITable.ai, the following information will appear:

Data Workflow Automation with AITable.ai, Albato, and OpenAI

Step3: Send a content request to OpenAI

Next, we can go back to Albato and start building the complete workflow.

First, create a new automation, step 1. Search for the application, select webhook, and then configure the association with the link you just built. Then add a new step and select Open AI:

  • Choose the Create chat completion action.
  • Specify your OpenAI connection.
Data Workflow Automation with AITable.ai, Albato, and OpenAI

Click the Add an action button and Map the fields.

Set up the model, temperature, and other parameters – this is where you can get creative. Don’t forget to assign the role (assistant) and craft the message text, which serves as the prompt.

Data Workflow Automation with AITable.ai, Albato, and OpenAI

Step4: Write content to AITable.ai

The content generated in OpenAI needs to be written to AITable.ai to complete the final result. So, add a new step, select AITable.ai, select event: Update the record, associate your account with it, and then select the table you want to write to, as well as the space and folder you want to write to.

Data Workflow Automation with AITable.ai, Albato, and OpenAI

Finally do the parameter configuration, select the recordID of AITable and fill the output field with the value generated by OpenAI. Save and publish this to complete the automated workflow build.

Data Workflow Automation with AITable.ai, Albato, and OpenAI

At this time, you select the keyword column in the AITable.ai table to fill in any keywords, and then set the option of the status field to writing. The output will automatically become a linkedln post content that meets your requirements.

Beyond Content Creation

The integration of AITable.ai and OpenAI extends beyond automated content creation. It offers a broad range of applications, including the analysis of customer order data, predictive inventory management, and even the automated creation and publication of blog articles.

This opens up a world of possibilities for businesses to automate their operations and make data-driven decisions.

Conclusion: Stepping into the Future with AITable.ai

In today’s data-driven landscape, automation is no longer a luxury; it is a necessity. By integrating AITable.ai and OpenAI through Albato, businesses can automate their data workflows, allowing teams to focus on strategic and growth-driving tasks. Take a deep dive into the world of AITable.ai, uncover the plethora of automation scenarios at your disposal, and elevate your efficiency to new heights.

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