SaaS workflows that give AI work context

Carry meeting data into the next task and design referral measurement.

input

Services, required data, destination, and execution authorization.

output

Setup steps, runnable synthetic examples, failure conditions, and checked sources.

limits

Synthetic examples do not establish real-meeting accuracy or earnings. Handle credentials and customer data in your own environment.

Task and article catalog for AI (JSON) →

• Record Slack huddles and feed AI at 22:00: six Circleback settings

  A Circleback workflow for giving AI usable work context: Slack huddles, a 22:00 sync, source statements, open tasks, and adoption criteria. Separates workflow experience, documented features, and local test evidence.

• Circleback action items to tasks: testing webhook signatures, owners, and replay keys

  Runnable Circleback webhook code checks signatures and missing owners, then tests SQLite upserts with two writers, batch rollback, and the old-replay case that can reopen a completed task. Uses synthetic data.

• Track Dub referral links in Japanese and English without breaking referral IDs

  A tested local URL builder preserves issued referral paths and existing parameters while labeling article language and placement. Includes a workflow for distinguishing clicks, leads, sales, and confirmed commissions.