TAB News: how we automated our own newsletter
Our own newsletter took two days a week to source and draft. The same agents we build for clients now do it in two hours.
The bottleneck to growth
TAB News (then called The Agentic Layer) was put together by hand. Sourcing, summarizing and formatting the week's AI news took two full days, so issues went out late or not at all.
The automated content engine
We built the content engine we now build for clients. It monitors over 50 AI news sources, scores what matters to builders, and writes a first draft of each issue for a quick human review.
- 1
Intelligent source aggregation
Created custom RSS feeds to monitor over 50 premier AI news sources and research publications.
- 2
Relevance scoring algorithm
Developed a scoring system to evaluate content based on specific criteria and audience interests.
- 3
Automated content generation
The system automatically generated first drafts of newsletter content, including summaries and context.
- 4
One-click publishing
Connected to our own email platform for one-click publishing after a quick review.
We built TAB News on the same agents we sell. It was the first thing we automated for ourselves, and it is still the proof I show clients: the two days of sourcing every week now take two hours.
An overview of the engagement
Project details
- ClientTAB, our own newsletter
- IndustryNewsletter publishing
- Timeline4 Weeks
Services provided
- Content automation
- AI scoring algorithm
- API integration
Technology stack
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