Final Review and Polishing Agent
Acts as a meticulous editor and final reviewer, ensuring the CV is error-free, clear, and professionally formatted, with a cohesive narrative.
This AI-powered workflow streamlines the process of tailoring a user’s CV to match a specific job posting. By analyzing both the original CV and the job description, the system highlights relevant skills and experiences, customizes the CV content, and ensures a polished, professional result—all without adding misleading information. Ideal for job seekers aiming to stand out with targeted applications.

Flows
Acts as a meticulous editor and final reviewer, ensuring the CV is error-free, clear, and professionally formatted, with a cohesive narrative.
An experienced CV writer who positions the user’s experience to align with the job description, creating a job-targeted version of the CV.
An analytical specialist skilled at breaking down job descriptions to extract essential skills, qualifications, and responsibilities for CV tailoring.
Reviews the tailored CV and suggests improvements based on the original CV and job description.
Task focused on retrieving and analyzing a job description from a URL to extract key skills, responsibilities, and keywords.
Task to update and customize the CV so it reflects the requirements and language of the job description, while staying true to the original CV.
Reviews the customized CV for clarity, consistency, professionalism, and formatting before delivery.
Below is a complete list of all components used in this flow to achieve its functionality. Components are the building blocks of every AI Flow. They allow you to create complex interactions and automate tasks by connecting various functionalities. Each component serves a specific purpose, such as handling user input, processing data, or integrating with external services.
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
The File Retriever component in FlowHunt lets you bring files into your workflow and convert them into documents for further processing. It supports strategies for handling multiple documents and can use OCR on images within files, making it ideal for extracting and transforming information from a wide variety of file types.
Unlock web content in your workflows with the URL Retriever component. Effortlessly extract and process the text and metadata from any list of URLs—including web articles, documents, and more. Supports advanced options like OCR for images, selective metadata extraction, and customizable caching, making it ideal for building knowledge-rich AI flows and automations.
FlowHunt's GoogleSearch component enhances chatbot accuracy using Retrieval-Augmented Generation (RAG) to access up-to-date knowledge from Google. Control results with options like language, country, and query prefixes for precise and relevant outputs.
The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.
The Sequential Task component organizes workflow steps by defining a clear task description, expected output, and assigning an agent to execute the task. Ideal for structured, multi-step processes, it ensures each step is well-documented and assigned, supporting complex automations in FlowHunt.
Experience organized workflow automation with the Sequential Crew component in FlowHunt. This component allows you to group multiple agent tasks and execute them one after another, making it ideal for processes that require clear, step-by-step task processing.
Discover the Chat Output component in FlowHunt—finalize chatbot responses with flexible, multi-part outputs. Essential for seamless flow completion and creating advanced, interactive AI chatbots.
The Message Widget component displays custom messages within your workflow. Ideal for welcoming users, providing instructions, or showing any important information, it supports Markdown formatting and can be set to appear only once per session.
Flow description
The “Enhance CV Tool” is an automated workflow designed to help users tailor their general CV (resume) for a specific job posting. By analyzing both the user’s uploaded CV and a target job description (provided as a URL), the system refines the CV to highlight the most relevant skills and experiences. Importantly, the tool only reuses and rephrases the original CV content, never introducing or inventing new information.
This workflow is valuable for anyone looking to increase their chances of progressing in job applications by ensuring their CV is specifically aligned with each role, without the manual effort of rewriting and customizing for every application.
| Step | Component/Agent | Purpose |
|---|---|---|
| User Onboarding | Message Widget | Welcome and instructions |
| File Upload | Chat Input, File Retriever | Accepts CV and job posting URL |
| Job Description Retrieval | URL Retriever, GoogleSearch | Extracts job requirements |
| Job Description Analysis | Job Description Analyzer | Extracts key skills and qualifications |
| CV Customization | CV Content Customizer | Aligns CV with job description using original content |
| Final Review | Content Reviewer | Polishes and error-checks the tailored CV |
| Output & Suggestion | Chat Output, AI Agent | Displays CV, offers improvement suggestions |
This workflow is particularly useful for job seekers, career coaches, and HR professionals who want to maximize the impact of a CV for specific job opportunities. By automating the process, it reduces manual effort, ensures every CV is as relevant as possible, and helps users present themselves as the ideal candidate—all while maintaining integrity and accuracy in the application process.
It is especially beneficial for scaling professional services, as it can handle large volumes of CVs and job postings without sacrificing quality or introducing errors.
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