Designed Human+AI Decision System and Job Application DAG

• Day: 2025-04-30
• Time: 01:25 to 01:50
• Project: Dev
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: AI, Decision Making, Automation, DAG, Workflow

Description

Session Goal

The session aimed to design a cooperative human+AI decision system and outline a structured workflow for job application management using Directed Acyclic Graphs (DAGs).

Key Activities

• Developed a 3-stage pipeline for a human+AI decision system focusing on job intake, matching, and proposal drafting.
• Outlined a structured JSON design for a DAG to process job listings, aiding freelance developers in managing applications.
• Provided a step-by-step guide for executing a flow using the flow-yaml-generator tool from the command line.
• Detailed the flow.dag.yaml definition, including structure, inputs, outputs, and suggestions for improvements.
• Explained output mapping for the flow-yaml-generator tool, including steps for proper output value mapping in a DAG definition.

Achievements

• Successfully designed a modular and human-involved decision system.
• Created a comprehensive workflow for job application management using DAGs.
• Clarified the execution process for flow management tools and improved YAML definitions.

Pending Tasks

• Implement the designed decision system and DAG workflow in a real-world scenario.
• Test the output mapping and execution steps in a live environment to ensure effectiveness.

Evidence

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• event_ids: []