Medium Digest Summary Output Template

This template defines the structure of the daily digest markdown file produced by the Medium Digest utility. The utility should generate one file per day matching this structure.

---

Daily file

• Filename: YYYY-MM-DD.md (e.g. 2026-02-20.md)
• Location: D:\FSS\KB\Business\_WorkingOn\Feed\Medium\
• Title (H1): # Medium Daily Digest – YYYY-MM-DD
• Sections: One H2 section per article, sorted by business_relevance_score (highest first). Use the article block below for each.

---

Article block structure

Each article section must follow this structure. The utility fills in the placeholders from the LLM and fetched metadata.

## {score} – {article_title}
- **URL:** {article_url}
- **Read time:** {read_time_minutes} min
- **Tags:** {comma_separated_tags}

### Summary
- {bullet_1}
- {bullet_2}
- {bullet_3}
- … (3–6 bullets)

### Why it matters for my mission
{2–3 sentences tying the article to business mission, strategy, or ideal client.}

---

Field rules

Field	Source	Notes
score	LLM (1–10)	Business relevance score; one decimal place (e.g. 9.2). Used for sort order and in heading.
article_title	Digest HTML or LLM	Original article title.
article_url	Digest HTML	Full Medium (or source) URL.
read_time	Page metadata or LLM	If available; else omit or ”—”.
tags	LLM	Lowercase, hyphenated; e.g. ai-agents, product-strategy, dev-tools.
Summary	LLM	3–6 bullet points; concise.
Why it matters for my mission	LLM	2–3 sentences; use business context (mission, strategy, ideal client) to explain relevance.

Separator

• Use --- (horizontal rule) between article sections for readability in Obsidian.

---

Example (filled)

# Medium Daily Digest – 2026-02-20

## 9.2 – OpenClaw: The Open-Source AI Agent That Grew 190K GitHub Stars in 14 Days
- **URL:** https://medium.com/...
- **Read time:** 11 min
- **Tags:** ai-agents, product-strategy, dev-tools

### Summary
- OpenClaw gained 190K GitHub stars in 14 days by solving a clear dev workflow pain.
- Open-source AI agents are becoming a distribution channel for developer tools.
- Community and rapid iteration drove adoption more than traditional marketing.

### Why it matters for my mission
AI agents and automation are core to my strategy for scaling education and execution. This case study reinforces using existing/open solutions and community-led growth, both aligned with $MART DEBT’s focus on leverage and efficient marketing.

---

## 8.5 – The "Ego Death" Secret: Why Anthropic Is 1,000x More Efficient Than Google
…

---

Reference this template in the Medium Digest utility config so the output structure can be updated here without code changes.