AutomationTrendingmedium impact
n8n Workflow Scores AI News at $0.00004 Per Article for Daily Slack Briefs
A new n8n workflow built by You.com's engineering team runs every weekday at 8am, scoring AI news articles for materiality at roughly $0.00004 each before posting cited summaries to Slack. Topics with no substantive news produce no post, cutting signal from noise automatically.
Key Facts
01The n8n workflow runs every weekday at 8am and costs approximately $0.00004 per article scored for materiality.
02Topics with no substantive news generate no Slack post, preserving signal quality over time.
03The workflow was built by Tyler Eastman, Senior Software Engineer at You.com, using n8n, You.com search, and Jev for AI evaluation.
04Scanning 500 articles across 20 client verticals daily would cost roughly $0.40, or under $90 per year.
05The conditional posting logic prevents digest fatigue, a common failure mode in automated news tools.
Why does this matter for agencies?
▶Consistent, scored news monitoring across client verticals replaces informal daily triage that does not scale beyond a handful of accounts.
▶At a fraction of a cent per article, the cost of running this type of pipeline is low enough to apply it broadly across an entire client roster.
▶Conditional posting logic maintains digest credibility over time, which matters when clients or account teams are the intended audience.
▶The same architecture used here for news scoring can be adapted for competitor tracking, regulatory monitoring, or review activity alerts.
What should agencies do?
Clone the n8n workflow and configure one Slack channel per client vertical, replacing the topic list with categories relevant to each account.
medium effort
Use Jev to set custom materiality thresholds per vertical so scoring sensitivity matches each client's risk and opportunity profile.
medium effort
Package the automated news brief as a named deliverable in client retainer proposals, using the per-article cost to anchor transparent pricing.
low effort