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 use-cases, and also list existing Notion database items to avoid duplicates.

I now have a clear picture of existing entries and the Reddit feed. Let me also check for more existing items and then identify new, unique use-cases from today's feed.

I have a comprehensive view of existing entries. Now I'll identify the new, unique use-cases from today's Reddit feed that are not already covered. Based on my analysis, I'll create entries for the following distinct use-cases:

1. Agentic Social Media Content Workflow (from post 1vr1s6z) - Agent-driven research → generate → schedule → publish → monitor loop with human approval gates
2. AI Agent Selective Memory Application (from post 1vr2ve2) - Agent that recalls a learned rule but rejects applying it when context makes it unsafe
3. AI Agent Execution Comparison and Divergence Detection (from post 1vqwzpm) - Tool for comparing two agent runs and identifying where they first diverged
4. Event Classification Agent with Confidence Calibration (from post 1vr7e30) - Multi-dimensional event classification with calibrated confidence scoring
5. Autonomous Presentation Draft Generation Agent (from post 1vqzwj4) - Agent that converts unstructured client notes into structured slide copy drafts

Let me now create these entries:

All five 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: 30+ entries reviewed to ensure no duplicates

5 New Use-Cases Added to Notion:

1. Agentic Social Media Publishing Workflow with Human Approval Gates and Cross-Platform Scheduling — Full content lifecycle automation (research → generate → schedule → publish → monitor) with scoped agent access and human approval before irreversible publish actions.

2. Context-Aware Agent Memory Selectivity for Safe Rule Reuse Across Dissimilar Tasks — Agent memory architecture that retrieves learned rules and explicitly rejects them when the current context makes application unsafe (e.g., retrying idempotent GETs vs. non-idempotent payment POSTs).

3. Agent Execution Run Comparison Tool for Behavioral Divergence Detection and Investigation — Local-first debugging tool that compares two agent runs, finds the earliest behavioral divergence point, and provides a structured investigation workflow with explicit uncertainty handling.

4. Multi-Dimensional Event Classification Agent with Calibrated Confidence Scoring for Discovery Platforms — Event classifier covering genre, subgenre, energy, tone, and content type, with empirically calibrated confidence scores to enable reliable human-review routing.

5. AI Agent for Presentation Draft Generation from Unstructured Client Notes — Agent that transforms client bullet points and transcripts into structured slide copy drafts, eliminating the blank-canvas bottleneck in presentation design workflows.