AI Assistant based on n8n
50 USD Technical assignment: Automated analytical report generation system (using n8n and AI)
Goal: Create an automated pipeline in n8n that collects and processes data from various sources, and then generates full-text analytical reports based on that data, mimicking the logic and structure of reports written by a human analyst.
Main tasks by stages
Stage 1: Data collection and integration
1.1. Statistical data: Implement the upload of tabular data (Excel/CSV) with statistical data and indicators, prices, production volumes, etc. Two modes should be supported:
Automatic: from email attachments, Google Drive / Dropbox folders.
Manual: through a web form or by running an n8n script with an attached file.
1.3. Internal reports: Add the ability to upload examples of completed analytical reports (PDF/Doc) to extract specific data from them or to use as a template.
Stage 2: Data processing and structuring
2.1. Cleaning and filtering: Automatically remove unnecessary rows/columns, standardize data formats (dates, numbers, currencies).
2.2. Aggregation and metric calculation:
Group data by specified parameters (regions, countries, prices, time periods).
Calculate key metrics: dynamics (growth/drop in %, YoY, MoM), shares, averages, anomaly detection, etc.
2.3. Preparing data for AI: Formulate final structured data (in JSON or text format) – "analyst's reference," which will contain all necessary figures, facts, and excerpts from news for writing the report.
Stage 3: Generating the text analytical report
3.1. Formulating a request (prompt) to AI: The n8n script should dynamically create an expanded prompt for the language model (LLM), including:
Context: "You are a financial analyst. Prepare a report for [Period] on the [Market Name] market."
Structured data: All figures and metrics calculated in Stage 2.
Template and instructions: "Follow the structure of the attached example report. Start with general conclusions, then detail by regions. Explain price growth using facts from the news. Conclude the report with a forecast, etc."
3.2. Interaction with the language model: Set up API integration with a generative language model (e.g., OpenAI, Anthropic Claude, or similar).
3.3. Creating text: Send the prompt and receive the finished, coherent text of the analytical report.
Stage 4: Formatting and exporting the result
4.1. Compiling the final document: Combine the generated text (from Stage 3) with key tables and charts (generated in Stage 2).
4.2. Export: Export the final report in one of the selected formats:
Google Docs (preferably, for easy editing)
PDF file
Sending text and tables via email.
Data storage
5.1. Database: Set up a database (PostgreSQL, but SQLite or Airtable may also be used) to store all collected and processed data.
5.2. Architecture: The database structure should allow for easy addition of new sources, data types, and conducting retrospective analysis over long periods.
Input data (provided by the client)
Examples of Excel/CSV tables with data.
Template and examples of target analytical reports.
A list of key fields, metrics, and parameters for analysis.
Access to necessary APIs, RSS sources.
Requirements for the performer
Deep experience with n8n and building complex, scalable scripts.
Experience in ETL (Extract, Transform, Load) processes and data automation.
Understanding of the logic of working with relational databases (PostgreSQL/SQLite).
Experience working with APIs of generative language models (LLM), ability to create effective prompts (prompt engineering).
Understanding the basics of statistics and data analysis. If you read to the end, please include the last two sentences from my text in your response, so I know you are not a robot.
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3 days50 USD
220 3 days50 USDHello! 👋
I have experience in developing backend automations on n8n, including setting up ETL processes, API integrations, and text generation using LLM. I am ready to implement your project: from data loading to processing, aggregating metrics, creating queries to the model, and generating the final report.
I work quickly, document all stages, and ensure scalability and flexibility. I am ready to discuss the details and start soon.
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30 days50 USD
2259 5 1 30 days50 USDHello! I have reviewed your assignment and believe that I can successfully complete it. I would be happy to collaborate, please write to me personally for further details.
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3 days50 USD
3233 23 1 2 3 days50 USDHello!
I carefully read your technical assignment and must say — you described the project really professionally. It is clear that the task is thought out in detail: from ETL processes and metric aggregation to generating analytical reports using LLM and n8n.
I have extensive experience in developing similar systems and AI bots, including:
building automated data processing pipelines (ETL, cleaning, aggregation, preparing JSON for LLM);
creating n8n scripts with integration of PostgreSQL, Google Drive, Airtable, API sources, and generative models (OpenAI, Anthropic, Gemini);
…
designing and implementing multi-stage pipelines that include data collection, processing, analysis, and generation of text reports;
experience in writing prompts (prompt engineering) to obtain meaningful analytical texts from models.
What I can offer:
I will implement a fully automated script in n8n — from uploading and structuring data to generating and exporting reports (PDF/Google Docs).
I will set up integration with LLM API (OpenAI, Claude, or Gemini) for generating analytical texts based on specified metrics.
I will connect a PostgreSQL or SQLite database to store the history of analyses and templates.
I will ensure the flexibility of the architecture for easy addition of new data sources.
I work systematically, documenting all processes, testing each stage, so you receive a scalable solution that can be expanded and supplemented.
If the project is still relevant — I am ready to start working immediately.
Understanding the basics of statistics and data analysis. If you read to the end, then when responding, please mention the last two sentences from my text, so I will know you are not a robot.
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30 days180 USD
151 30 days180 USDHello!
I carefully read your technical assignment and understand that it is necessary to build an automated system for generating analytical reports through n8n + AI (LLM) with data integration, metric calculation, and final report generation (PDF/Google Docs).
I have experience working with n8n, API integrations, Google Sheets / Drive, ETL (data processing), and connecting to the OpenAI API.
I am ready to implement the project in stages:
– I will set up data collection and cleaning from Excel/CSV;
– I will do automatic processing and aggregation in n8n;
… – I will connect the generation of analytical text through AI;
– I will set up export to PDF or Google Docs.
I am new to the platform, so I offer a loyal rate and quick communication.
Cost: $180 (for the full project)
Deadline: up to 3 weeks
If you read to the end, please include the last two sentences from my text in your response, so I will know you are not a robot. What needs to be done and how long will it take you to do it?
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12 days500 USD
7575 13 0 12 days500 USDHello, I have done something similar, I would be happy to discuss the details and outline the plan for completing the tasks.
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