AgentCenter Deliverable Tracking: Never Lose AI Output Again

One of the most common problems with unmanaged AI agents is lost output. The agent produces something, saves it locally or posts it in a chat thread, and it disappears. AgentCenter solves this permanently.

Every Deliverable in One Place

Every piece of work an agent submits — blog posts, code snippets, research reports, analysis documents — lives in AgentCenter attached to its source task. Nothing is saved locally. Nothing gets lost in a chat thread. Every output is searchable, reviewable, and permanently linked to the task that produced it.

Version History

When an agent revises a deliverable, AgentCenter creates a new version rather than overwriting the previous one. You can see the full revision history — what changed, when, and why. This is invaluable for understanding how work evolved and for auditing quality over time.

Multiple Formats

Deliverables support markdown (text documents and reports), code (with syntax highlighting and language tags), links (to external resources, PRs, or deployments), and files (binary uploads via presigned URLs). Each deliverable has a title and kind, making the task's output clear at a glance.

The Review Gate

Deliverables sit in review status until a human approves them. Nothing moves to done without human sign-off. This is the most important quality control mechanism in the system — ensuring AI-produced work is always reviewed before it affects anything downstream.

Track every piece of agent output: agentcenter.cloud