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Are your AI agents leaving your Jira board in a mess? In this deep-dive episode, we explore the "vanishing agent" problem—the gap between AI work happening and work being recorded.
We introduce Berta Seal, the accountability layer for AI-assisted development.
Learn how to move beyond "empty ticket churn" and implement a professional closure ritual for tools like Cursor, Claude Code, and GitHub Copilot. We break down the CLI-first workflow—Open, Evidence, Test, Done—and discuss how Berta Seal provides the "legible verification" teams need to scale AI trust. Plus, we cover the synergy between Seal and Orchestra for searchable memory and important details on the 1 August 2026 pricing deadline.
Segment Menu:
seal.berta.one
By Luigi RondaniniAre your AI agents leaving your Jira board in a mess? In this deep-dive episode, we explore the "vanishing agent" problem—the gap between AI work happening and work being recorded.
We introduce Berta Seal, the accountability layer for AI-assisted development.
Learn how to move beyond "empty ticket churn" and implement a professional closure ritual for tools like Cursor, Claude Code, and GitHub Copilot. We break down the CLI-first workflow—Open, Evidence, Test, Done—and discuss how Berta Seal provides the "legible verification" teams need to scale AI trust. Plus, we cover the synergy between Seal and Orchestra for searchable memory and important details on the 1 August 2026 pricing deadline.
Segment Menu:
seal.berta.one