How to Build Writing Feedback Assistant

May 12, 2025

Kevin Bartley

Customer Success at Stack AI

Generating feedback for college essays, newspaper articles, books, and other complex writing samples is time-consuming and tedious. 

However, with the emergence of AI agents, the ability to quickly and efficiently analyze writing samples is much more feasible. 

In the following blog, we’ll show you how to build a writing feedback assistant in StackAI, and explain the benefits for your team.

Editing Writing: Methods & Challenges

Editing writing can be a complex, time-consuming process that presents several challenges, even for seasoned professionals. One of the primary difficulties lies in balancing the clarity, tone, and style of a piece while ensuring it aligns with the intended audience and purpose. This task requires a deep understanding of language, context, and the writer’s voice, making it far more nuanced than simply correcting grammar or spelling errors. 

The cost of professional editing can also be a significant barrier, especially for startups, small businesses, or individual writers. Depending on the complexity and length of a document, editing fees can range from a few cents to over 10 cents per word, quickly adding up for longer pieces like white papers, eBooks, or technical documentation. 

For organizations producing a steady stream of content, this investment can become substantial, often consuming a large portion of the content budget. The need for multiple rounds of revisions, including developmental, line, and copy editing, can further escalate costs, making this a significant consideration for teams looking to scale their content production. 

Given these challenges, many teams are now turning to AI-powered editing tools to reduce costs, streamline the revision process, and improve overall content quality.

AI Agents for Writing Feedback

For teams aiming to produce high-quality written content, leveraging AI for automated writing feedback is a smart move. AI tools can offer rapid, consistent evaluations that might otherwise require significant time and effort from human reviewers. These tools can instantly highlight grammar issues, style inconsistencies, tone mismatches, and structural weaknesses, allowing writers to make swift improvements. 

This immediate, data-driven feedback not only speeds up the content creation process but also helps maintain a consistent voice across various pieces, which is critical for brand alignment. Moreover, AI-driven feedback systems can be particularly effective in diverse teams, where members might have varying writing styles and levels of proficiency. 

AI can act as an impartial, always-available coach, providing constructive feedback without the interpersonal friction that sometimes arises in peer reviews. This can foster a more inclusive writing environment, reducing anxiety around feedback and encouraging writers to iterate with confidence.

Finally, integrating AI tools into the writing process can significantly boost team productivity. By automating the more mechanical aspects of editing, like correcting grammar or flagging passive voice, team members can focus on the creative and strategic aspects of their work. This allows for more innovative, impactful content, while freeing up editors and managers to concentrate on higher-level storytelling and brand positioning.

AI Agent Overview: AI Writing Assistant

Industry

Horizontal

Persona

Marketing/Sales

Problem

Writing feedback is difficult, time-consuming, and expensive

Solution

This AI agent takes writing samples and analyzes them for writing quality and grammar

User Interface

Form

LLM

Anthropic - Claude 3 Haiku

Data Sources

File Upload (Document)

Actions

  1. User uploads file (document) 

  2. LLM reviews document for writing style

  3. LLM outputs writing suggestions to user

Time to Launch

Easy

Benefits

  • Allows teams to avoid spending a significant amount of time-editing documents 

  • Improves the quality of the writing, leading to better audience reaction, higher conversion rate

  • Saves money on editors and other expenses

Writing Feedback Assistant: How to Build

Here’s how to build the Writing Feedback Assistant. First, make sure to sign up for a free StackAI account

Navigate to the account dashboard. Click ‘New Project’.

Click the ‘Workflow Builder’ option.

From here, choose the Writing Feedback Assistant template. 

This will launch a pre-built workflow for the AI agent.

Let’s examine each component of the workflow one at a time. First, you have the Documents node. This will allow you to upload documents (writing samples) for review. 

The LLM ingests the document and collates writing suggestions based on the text. The LLM model is Anthropic - Claude 3 Haiku

The Output node reveals the writing feedback to the user.

Now go to the Export tab.

Make sure to give a name and a description to your AI agent. 

Save the interface.

Click on the link to launch the web app.

This will bring you to the UI of the AI agent. Upload a document for review. 

You will receive back a written response critiquing the quality of the writing.

Launch the Writing Feedback Assistant Now!

Reviewing articles, blogs, and other written materials is a time-consuming and expensive process. 

But with AI agents, teams can review written materials automatically, and receive instant feedback on their work.

Launch our writing feedback assistant now with our free template! Sign up for a free account with StackAI to get started.

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