Pyragogy AI Village - Orchestrazione Master (Architettura Profonda V2)

For Pyragogy AI Village, this automated workflow orchestrates a multi-agent system to process input data efficiently. Triggered by webhooks, it integrates with PostgreSQL and OpenAI, utilizing 35 nodes to analyze, summarize, and synthesize content. The workflow enhances collaboration by incorporating human feedback for content approval, ensuring high-quality outputs while streamlining the creation of handbook entries. It effectively reduces manual effort, accelerates content generation, and improves overall productivity in knowledge management.

7/5/2025
35 nodes
Complex
pyragogymulti-agentorchestrationhuman-in-loopwebhookcomplexstartpostgresqlopenaiemailsendwaitgithubslackrespondtowebhookadvancedintegrationapidatabasedatacodecustomlogicconditionalroutingemailnotificationcommunication
Categories:
Data Processing & AnalysisTechnical Infrastructure & DevOpsCommunication & MessagingWebhook TriggeredComplex Workflow
Integrations:
StartPostgreSQLOpenAiEmailSendWaitGitHubSlackRespondToWebhook

Target Audience

This workflow is designed for:
- Content Creators: Individuals or teams involved in creating educational content, such as handbooks or manuals, who need systematic content generation and review processes.
- Educators: Teachers and trainers who want to streamline the process of creating instructional materials with feedback loops.
- Project Managers: Professionals managing multi-agent projects that require collaboration and input from various stakeholders.
- Data Analysts: Those analyzing the effectiveness of educational content and need a structured way to gather input and reviews.
- Developers: Technical users looking to integrate automated workflows with databases and APIs for enhanced functionality.

Problem Solved

This workflow addresses the challenges of:
- Content Generation: Automating the process of creating and refining educational content through various AI agents, ensuring high-quality output.
- Collaboration: Facilitating effective collaboration among different agents (AI and human) to produce well-reviewed materials.
- Review Process: Implementing a structured review process that includes human feedback, thus improving the quality and relevance of the content.
- Integration: Seamlessly integrating various technologies (PostgreSQL, OpenAI, Email, GitHub, Slack) to create a cohesive workflow.

Workflow Steps

  • Start Trigger: The workflow begins with a webhook that listens for incoming requests.
    2. Database Connection Check: It verifies the connection to the PostgreSQL database to ensure data integrity.
    3. Meta-Orchestrator: An AI agent analyzes the input data and determines the optimal sequence of agents to process the content.
    4. Parsing the Orchestration Plan: The workflow parses the agent sequence and prepares to run the first agent.
    5. Agent Execution: Each agent (Summarizer, Synthesizer, etc.) processes the input sequentially, with the output being passed to the next agent for further refinement or review.
    6. Human Review: The proposed content is sent to a human reviewer via email for approval or rejection, with a unique review ID for tracking.
    7. Approval Handling: Depending on the reviewer's feedback, the content is either saved to the database or logged as rejected.
    8. GitHub Integration: If approved, the content is committed to a GitHub repository for version control.
    9. Notification: A notification is sent to Slack to inform relevant stakeholders of the workflow completion.
    10. Final Response: The workflow returns a structured JSON response containing the final output and contributions.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Agent Sequences: Adjust the order or type of agents based on specific needs (e.g., adding more agents or changing their roles).
    - Changing Database Connections: Update the PostgreSQL connection settings to integrate with different databases or schemas as required.
    - Customizing Email Templates: Modify the email content and recipient addresses for review requests to fit organizational branding and communication styles.
    - Adjusting Review Logic: Change the thresholds for determining when a redraft is needed or the criteria for approvals based on specific project requirements.
    - Integrating Additional Services: Add or replace services in the workflow, such as integrating with other messaging platforms or databases.