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Content Sources: The Complete Breakdown
Seven source types β from Telegram channels and websites to the AI generator and the digest aggregator. Collection schedules, auto-accept, auto-analysis and keeping collected material tidy.
Seven source types β from Telegram channels and websites to the AI generator and the digest aggregator. Collection schedules, auto-accept, auto-analysis and keeping collected material tidy.
Sources are the "raw material" of your pipeline: the system checks them regularly, collects new materials and files them into the project. From there, you (or Autopilot) decide what becomes posts.
There is also one-off import: you can manually pull in a single YouTube video (transcribed into an article) or a single page by URL.
Each source has its own check schedule: from "several times a day" to "once a week". You can also start a collection manually with a button. The run journal shows what was collected and when, with real-time progress.
Every material lands in the project with "draft" status β it's not a post yet, it's raw material. From there, three paths:
To keep the project from drowning in raw material, automatic cleanup runs: old unaccepted drafts are rejected, rejected items are archived, and the archive is eventually deleted (retention periods are configured at the project level). Files are deleted only at the final step β until then, a material can be restored.
The niche channels "Azbuka | Fruit Garden" and "Azbuka | Flowers" follow the typical "a few sources + AI generator" pattern: specialist websites supply the news, the generator supplies evergreen tips, and the schedule keeps a steady publishing rhythm. In total, more than 40 active sources are running in the system right now.
Next up: how an accepted material becomes a post β "Working with Content".