Pyragogy AI Village - Orchestrazione Master (Architettura Profonda V2)

Pyragogy AI Village automates complex workflows by orchestrating multiple AI agents to analyze, summarize, and enhance content. Triggered by webhooks, it integrates with PostgreSQL and OpenAI, ensuring seamless data processing and human review. This workflow streamlines content creation, improves quality through peer feedback, and efficiently manages revisions, ultimately saving time and enhancing collaboration.

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

Target Audience

Target Audience


- Educators and Trainers: Utilize this workflow to create and manage educational content efficiently.
- Content Creators: Streamline the process of drafting, reviewing, and publishing content with automated feedback loops.
- Project Managers: Oversee collaborative projects that require multi-agent input and human review.
- Developers: Integrate this workflow into existing applications for enhanced content management and orchestration.
- Data Analysts: Use the PostgreSQL integration to analyze data inputs and outputs effectively.

Problem Solved

Problem Solved


This workflow addresses the challenges of content creation and management by automating the orchestration of multiple AI agents and human reviewers. It ensures:
- Efficient Collaboration: Multiple agents are utilized sequentially to enhance the quality of content through summarization, synthesis, and review.
- Human Oversight: A human review process is integrated, allowing for feedback and approval, ensuring quality control before publication.
- Database Integration: Connects seamlessly with PostgreSQL to manage and store content, facilitating data-driven decisions.

Workflow Steps

Workflow Steps


1. Webhook Trigger: Initiates the workflow upon receiving a POST request at pyragogy/process.
2. Check Database Connection: Verifies the connection to the PostgreSQL database to ensure data integrity.
3. Meta-Orchestrator: Analyzes input data and determines the optimal sequence of agents (e.g., Summarizer, Synthesizer).
4. Parse Orchestration Plan: Prepares the sequence for execution and sets up the initial input for the first agent.
5. Agent Execution Loop: Continues to execute agents based on the predefined sequence until all agents have been run or feedback indicates a need for redrafting.
- Agent Types: Includes Summarizer, Synthesizer, Peer Reviewer, Sensemaking Agent, Prompt Engineer, Onboarding/Explainer, and Archivist.
6. Human Review: Sends the proposed content to a human reviewer for approval or rejection, capturing their feedback.
7. Finalization: If approved, saves the content to the database and optionally commits it to GitHub. If rejected, captures feedback for further refinement.

Customization Guide

Customization Guide


- Webhook Path: Change the webhook path in the Webhook Trigger node to customize the endpoint for your application.
- Database Credentials: Update the PostgreSQL credentials to connect to your specific database.
- Agent Configuration: Modify the configuration of each agent (e.g., change the prompt for Summarizer or Synthesizer) to better fit your content needs.
- Email Notifications: Customize the email templates in the Send Review Request Email node to match your branding and communication style.
- GitHub Integration: Adjust the GitHub repository settings in the Commit to GitHub node to specify where the content should be stored.