We shipped an update to our GTM (Go-To-Market) scheduler this week that adds two capabilities we've been needing: daily scheduling cadence and support for digest content types. This is the kind of behind-the-scenes work that doesn't make headlines but makes our content automation actually useful.
What Changed
The GTM scheduler previously handled weekly scheduling reasonably well, but we needed finer-grained control. The daily cadence feature lets us schedule content at a daily rhythm—useful for progress updates, daily digests, or time-sensitive announcements that can't wait for a weekly cycle.
We also added explicit support for digest content types. Digests are curated collections—think weekly roundups, feature highlights, or aggregated progress reports. Before this change, we were shoehorning digests into generic content types, which meant we couldn't apply digest-specific logic or formatting.
Why It Matters
Scheduling systems live or die by flexibility. If your scheduler can only handle one tempo or one content shape, you end up either forcing everything into that mold or working around the system entirely. Neither is sustainable.
Daily cadence support means we can now schedule content that needs to ship on a daily basis without manual intervention. Digest support means we can treat curated collections as first-class content types, with their own scheduling rules, formatting logic, and distribution channels.
This is infrastructure work. It's not flashy, but it compounds. Every scheduling pattern we support well is one less manual process, one less thing to remember, one less place for timing errors to creep in.
Implementation Notes
The changes landed in backend/services/gtm_scheduler.py with corresponding test coverage in backend/tests/test_gtm_scheduler.py. We extended the scheduler's cadence enum to include a 'daily' option and added digest as a recognized content type in the scheduler's content type registry.
The test suite now validates that daily schedules fire at the expected intervals and that digest content types are properly recognized and processed by the scheduling engine. Nothing groundbreaking, just solid engineering.
What's Next
This update opens the door for more sophisticated content scheduling patterns. We're looking at hourly cadence for time-critical updates, and we want to add support for conditional scheduling—content that only ships if certain conditions are met.
We're also planning to expand digest capabilities to support multi-source aggregation, where a single digest can pull from multiple content streams and apply intelligent filtering and ranking. That's further out, but the foundation is in place now.
The GTM scheduler is becoming the backbone of our content distribution system. Each improvement makes it more capable and more reliable. This week's update is one more step in that direction.