Integrated GPT Screeners with Obsidian for Publishing

• Day: 2025-05-09
• Time: 21:00 to 21:35
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: GPT, Obsidian, Automation, Schema, Promptflow

Description

Session Goal

The session aimed to integrate GPT screeners with Obsidian to enhance publishing strategies and knowledge management.

Key Activities

• Proposed adapting existing GPT screeners to improve Obsidian publishing strategies with structured JSON annotations.
• Developed a unified JSON schema to organize AI-generated responses within Obsidian vaults.
• Created a 1-hour execution plan to script Obsidian-ready Markdown files from JSON responses.
• Enhanced AIflow for GPT chat review by chaining schema calls and creating an executable flow.
• Outlined actionable stages for integrating JSON schema-based classifiers with a focus on automation and UX.
• Provided onboarding guides for ingest.py and batch_promptflow_runner.py scripts, detailing their structure and usage.
• Evaluated and recommended modular PromptFlow options and extended the PromptFlow DAG for dual schema support.
• Suggested parametrizing the llm_wrapper.py script for flexible schema selection in PromptFlow.

Achievements

• Established a comprehensive framework for integrating GPT screeners with Obsidian.
• Developed detailed execution plans and onboarding guides for automation scripts.

Pending Tasks

• Implement the proposed JSON schema within the Obsidian vault.
• Execute the 1-hour plan for generating Markdown files.
• Finalize the dual schema support in PromptFlow DAG.
• Complete the parametrization of the llm_wrapper.py script for dynamic schema selection.

Evidence

• source_file=2025-05-09.sessions.jsonl, line_number=4, event_count=0, session_id=c199e6718556e276d61c06649f3c33f368c8a0a4465306211a14868a6507c65c
• event_ids: []