Zie619/n8n-workflows
Jul 2025 – Jul 2025
1 Month active
Languages Used
JSON
Technical Skills
AI integrationAPI integrationNotion APIdata extractionworkflow automation
AzizB283
PROFILE
Azizb283
Aziz Bhavanagarwala developed an Automated Deep Research Reporting Workflow for the Zie619/n8n-workflows repository, focusing on streamlining research processes through end-to-end automation. Leveraging AI integration, API integration, and the Notion API, Aziz connected Telegram for user interaction, Google Search for dynamic query generation and data extraction, and Notion for structured report storage. The workflow automates the entire research pipeline, from receiving user queries to generating and storing comprehensive reports, reducing manual effort and increasing throughput. Implemented primarily using JSON and workflow automation tools, this solution established a scalable foundation for expanding data sources and templates in future research initiatives.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,243
Activity Months1
Your Network
29 peopleShared Repositories
29
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary: Delivered an end-to-end Automated Deep Research Reporting Workflow within Zie619/n8n-workflows, integrating Telegram, Google Search, and Notion to streamline research reporting. The workflow automates user interaction, query generation, content extraction, and report creation, enabling faster, scalable insights and reducing manual effort. This lays a strong foundation for expanding data sources and templates, driving higher research throughput and consistency across teams.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary: Delivered an end-to-end Automated Deep Research Reporting Workflow within Zie619/n8n-workflows, integrating Telegram, Google Search, and Notion to streamline research reporting. The workflow automates user interaction, query generation, content extraction, and report creation, enabling faster, scalable insights and reducing manual effort. This lays a strong foundation for expanding data sources and templates, driving higher research throughput and consistency across teams.
July 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
JSON
Technical Skills
AI integrationAPI integrationNotion APIdata extractionworkflow automation
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