A to Z Sports Newsletter Automation Last updated: —
ROUTING ENGINE: ● Active
0 routed
0 multi-team
0 digest
0 unrouted
Method: ● category-tag ◐ url-path ○ title-keyword
5 Ready to Send
4 Needs Review
3 Draft
BASED ON HISTORICAL DATA
~41% open, ~15% click, ~475 avg clicks
✉️ Email Subject Line 3 options
0 / 70 chars ✓ Synced to Save Draft
Or pick one of the auto-generated options:
Select a team and load a featured story to generate subject line options.
52–55 char mobile sweet spot · 70 max
1 🏷️ Team Header Banner
Select a team to preview its header banner
2 Featured Story
3 📢 Ad #1 STUB
Awaiting Jake's ad code (NFL/CFB variant auto-selected by team)
4 📰 "Latest News" Divider
Team "Latest News" banner — loads after team select
5-6 📄 Additional Articles (2)
Article #2 will auto-fill from routed stories
Article #3 will auto-fill from routed stories
7 📢 Ad #2 STUB
Awaiting Jake's ad code
8 ▶️ YouTube Video
Latest video from team's YouTube channel (configure in YouTube Channels panel)
9 📢 Ad #3 STUB
Awaiting Jake's ad code
10 🏆 Random Team Fact
Fact database loads in Layer 3 — slot ready.
11 📢 Bottom Ad (optional) STUB
Awaiting Jake's ad code — off by default
Tomorrow's scheduled sends
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Apr 7-13, 2026
NFL
CFB
Automation
Auto-route articles
Auto-generate teasers
Auto-select YouTube
Require manual approval
Auto-send approved
RSS Configuration
Beehiiv API
Newsletter Settings
Team Name Newsletter Primary CMS Tags Alt Keywords Segment ID Status
Active scheduled teams (12 across NFL + CFB). Link each team's YouTube channel by handle (e.g., @atozsports) or channel ID. Latest video from the linked channel auto-populates in the Builder.
Team Newsletter YouTube Handle / Channel ID Latest Video Status
Teams roster
All 43 cataloged team newsletters across NFL + CFB. Activating a team appends a Monday / Wednesday / Friday 7am ET recurrence to schedule.json — it will fire on the next M/W/F. Deactivating removes the recurrence but preserves all per-team data, so re-activation is one click.
Total
Firing
Ready (dormant)
Partial
Team Pub Status Img Color Facts YT Author Slug Action
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LLM diagnostics

"What's failing" — rolling window over api_usage_log.json
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Total calls
Failures
Cost (window)
Days observed
Failure reasons
By prompt version
By model
Per-team activity (sorted by failure rate, descending)
Team Calls Failures Fail rate Cost
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Daily trend
Day Calls Failures Cost
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