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, and also list existing Notion items to avoid duplicates.

I now have a comprehensive view of existing entries. Let me identify the new, unique use-cases from today's Reddit feed that are not already in the database. Based on my analysis of the posts, here are the distinct new use-cases I'll create entries for:

1. Academic Literature Review Agent with Citation Verification (from post 1wbal74) - A local pipeline that turns a research question into a fully cited literature review with a verification layer that makes fabricated quotes structurally impossible.

2. AI Agent for Contact Center Average Handle Time Reduction (from post 1waxsrg) - AI agents that lower AHT in contact centers, handling transfers and after-call work.

3. Internal Knowledge Base Access Control Auditing Agent (from post 1waini0) - An agent that audits what internal AI agents can access, detecting over-permissioned agents that can reach confidential data.

4. AI Sales Pitch Adversarial Sparring Agent (from post 1wbf55k) - Using AI agents with different buyer mindsets to challenge and stress-test sales pitches before real calls.

5. Structured Human-in-the-Loop Decision Presentation for Agents (from post 1wbfvc7) - An interaction pattern where agents present paused decisions with options and context rather than just status.

6. Scheduled Browser Agent with Structured Restart State (from post 1wbfipf) - Persisting structured state outside the transcript for scheduled agents to enable clean recovery without duplicating work.

7. AI Agent Evaluation Framework with Multi-Dimensional Metrics (from post 1wbdtk6) - A comprehensive framework for evaluating AI agents across task success, factuality, tool-call accuracy, reliability, safety, and cost.

Now let me create these entries:

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

Reddit Sources Monitored:

• r/AI_Agents — 25 hot posts scanned
• r/aiagents — Rate limited (429), skipped

Existing Database: 40+ entries reviewed to ensure no duplicates

New Use-Cases Added (7 entries):

1. Academic Literature Review Agent with Structurally Enforced Citation Verification — Local pipeline that makes quote fabrication structurally impossible via character-level PDF matching.

2. AI Agent for Contact Center AHT Reduction with Post-Call Work Automation — Real-time info retrieval during calls + automated after-call documentation to reduce handle time holistically.

3. Internal AI Agent Permission Scope Auditing and Least-Privilege Enforcement System — Audits over-permissioned internal agents that inherit excessive credentials from their creator accounts.

4. Multi-Persona Adversarial Sales Pitch Stress-Testing Agent — Multiple buyer-persona agents that challenge pitches from CFO, SMB owner, implementation, and status-quo perspectives.

5. Structured Decision-Presenting Human-in-the-Loop Interaction Pattern — Agents present specific decisions + options when pausing, not generic status messages, with condition-aware option refresh.

6. Scheduled Agent Structured Restart State with Failure-Type-Aware Recovery — Compact structured state outside the transcript distinguishing "nothing found" from "source unavailable" for clean recovery.

7. Multi-Dimensional AI Agent Evaluation Framework with Trajectory and Outcome Assessment — 7-dimension evaluation (task success, factuality, groundedness, tool accuracy, reliability, safety, cost) covering both trajectory and final output.