Daily Trigger

The trigger is a daily scheduled run. I'll now fetch the Reddit feeds from both subreddits and introspect the Notion database simultaneously.

Now let me fetch comments from the most relevant posts to get more details on the use-cases:

Now let me check the existing Notion database to avoid duplicates:

I have the existing items. Now I'll identify the new, unique use-cases from today's Reddit feed that are not already in the database. The relevant posts are:

1. Personal Research Agent (t3_1w9ili8) - Automated data retrieval, processing, and organization from a single source into a searchable database
2. AI-Assisted Hiring Pipeline (t3_1w9gv4g) - Multi-agent system for structured interview evidence gathering and candidate evaluation
3. Productivity & Focus Monitoring Agent (t3_1w9knoc) - AI agent for focus management, distraction blocking, and screen time reporting
4. Prompt Injection Defense for Agentic Systems (t3_1w9lxa8) - Security hardening for agents that can take real-world actions
5. AI Agent for WhatsApp Customer Support with Human-in-the-Loop (t3_1w9n0om) - Messaging platform agent with platform-aware autonomy limits
6. Company Data Architecture for AI Agents (t3_1w97rah) - Centralized gateway + knowledge base + skills repo for enterprise AI agents
7. AI-Powered Job Search Filtering Agent (t3_1w8uxp7) - Agent that reads job postings against a resume and filters relevant opportunities
8. SOP-to-Executable Policy Agent (t3_1w9j09n) - Converting standard operating procedures into deterministic agent programs

I'll now check for any potential duplicates by searching the database, then create the new entries:

The job search filtering agent from today's post (t3_1w8uxp7) is distinct — it focuses specifically on reading 10,000+ job postings from direct hiring systems (not LinkedIn/Indeed) against a resume and filtering to a shortlist. However, there are already many job search entries. Let me check for the other use-cases:

The prompt injection topic is very well covered. Now let me check for the remaining unique use-cases:

Good. Now I have a clear picture of what's new and unique. I'll create the following new entries:

1. Automated Research Data Ingestion and Q&A Agent (from t3_1w9ili8)
2. Multi-Agent Interview Evidence Gathering and Candidate Evaluation Pipeline (from t3_1w9gv4g)
3. Productivity Focus and Screen Time Monitoring Agent with Daily Reporting (from t3_1w9knoc)
4. Messaging Platform Customer Support Agent with Platform-Aware Autonomy Limits (from t3_1w9n0om)
5. Enterprise AI Agent Infrastructure with Centralized Gateway, Knowledge Base, and Skills Repository (from t3_1w97rah)
6. High-Volume Job Posting Filtering Agent with Resume-Matched Shortlisting (from t3_1w8uxp7) — distinct from existing entries as it focuses on direct hiring system ingestion at scale
7. Executable SOP Agent with Deterministic Policy Programs and Agentic Leaf Nodes (from t3_1w9j09n)

All 7 new use-cases have been successfully created in the Notion database. Here's a summary of what was accomplished:

Reddit Monitoring:

• Fetched hot posts from r/AI_Agents (r/aiagents returned 429)
• Reviewed 25 posts from r/AI_Agents

Notion Database:

• Introspected the database schema (Name, Short Summary, Long Description, URL, Created)
• Listed existing items to check for duplicates
• Searched for potential overlaps on key topics

7 New Use-Cases Created:

1. Automated Research Data Ingestion and Q&A Agent with Credibility Tracking — Monitors a data source, ingests updates, and answers questions grounded only in verified content
2. Multi-Agent Interview Evidence Gathering and Structured Candidate Evaluation Pipeline — 6-agent pipeline for competency-based hiring evidence synthesis
3. Productivity Focus and Screen Time Monitoring Agent with Distraction Blocking and Daily Reporting — Real-time focus enforcement with daily email/dashboard reports
4. Messaging Platform Customer Support Agent with Platform-Aware Autonomy Limits and Human Approval Queue — Intent-classified support agent respecting platform quality constraints
5. Enterprise AI Agent Infrastructure with Centralized Gateway, Structured Knowledge Base, and Skills Repository — Unified company-wide agent access architecture
6. High-Volume Job Posting Ingestion and Resume-Matched Shortlisting Agent from Direct Hiring Systems — Direct ATS ingestion + resume-grounded fit evaluation at scale
7. Executable Standard Operating Procedure Agent with Deterministic Policy Programs and Agentic Leaf Nodes — SOPs as code with AI only at unstructured leaf nodes