AI-powered cover letter generator with resume matching & Google Docs
This workflow generates a tailored cover letter using a provided resume and job description.
Users submit a job description via form (or workflow input), the workflow uses an LLM to write a professional, casual cover letter, then creates and populates a Google Doc and redirects the user to download or review it.
What You Must Update Before Running
1. Resume Content
Update the Configuration node to include your own resume text.
This resume is injected directly into the prompt and used as the sole source of experience and qualifications.
2. LLM Credentials
The workflow uses OpenRouter with an OpenAI-compatible model.
You must:
- Add your own OpenRouter API credentials
- Optionally change the model selection if desired
3. Google Docs Credentials
This workflow creates and edits Google Docs.
You must:
- Connect your own Google Docs OAuth credentials
- Update the destination folder ID if you want files saved elsewhere
What You Can Configure
1. Prompt Tone & Constraints
Edit the Write Cover Letter agent system prompt to adjust:
- Tone (more formal or more casual)
- Length
- Writing style constraints
2. Execution Method
The workflow supports:
- Manual execution via form submission
- Execution as a sub-workflow via workflow inputs
AI-Powered Cover Letter Generator with Resume Matching (Google Docs)
This n8n workflow automates the generation of personalized cover letters using AI, leveraging resume and job description inputs to create tailored documents in Google Docs. It simplifies the application process by intelligently matching candidate skills to job requirements.
What it does
- Triggers on Form Submission: The workflow starts when a user submits data through an n8n form. This form likely collects the resume content, job description, and other relevant details.
- Prepares Input Data: An "Edit Fields (Set)" node processes the incoming form data, likely structuring or transforming it for the AI agent.
- Generates Cover Letter with AI: An "AI Agent" node (powered by LangChain) takes the processed input (resume and job description) and generates a cover letter. It uses an "OpenRouter Chat Model" as its language model to create the content.
- Parses AI Output: A "Structured Output Parser" node extracts the generated cover letter content from the AI agent's response, ensuring it's in a usable format.
- Creates Google Doc: The final cover letter content is then used by a "Google Docs" node to create a new document, making it ready for review or submission.
Prerequisites/Requirements
- n8n Instance: A running n8n instance to host the workflow.
- OpenRouter Account: An API key for OpenRouter to power the AI Chat Model.
- Google Account: A Google account with access to Google Docs for creating the cover letter documents.
- n8n Form: This workflow expects input from an n8n Form Trigger. You will need to configure the form fields to collect the necessary resume and job description data.
Setup/Usage
- Import the Workflow: Import the provided JSON into your n8n instance.
- Configure Credentials:
- OpenRouter Chat Model: Set up your OpenRouter API key credential within n8n.
- Google Docs: Authenticate your Google account with n8n for Google Docs access.
- Configure n8n Form Trigger:
- Activate the "n8n Form Trigger" node.
- Design your form to collect the necessary inputs (e.g., "Resume Text", "Job Description").
- Configure AI Agent:
- Ensure the "AI Agent" node is correctly configured to use your OpenRouter Chat Model credential.
- Review the prompt and tools within the AI Agent to ensure it generates cover letters as desired.
- Configure Google Docs Node:
- Specify the folder where the new Google Docs should be created.
- Map the output from the "Structured Output Parser" to the content of the new Google Doc.
- Activate the Workflow: Once all configurations are complete, activate the workflow.
- Submit Form: Submit data through the n8n form to trigger the cover letter generation.
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