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The Native Output of AI Work

Artifacts

Files and folders weren't built for the internet. Artifacts are - native to sharing, native to collaboration, native to human-AI-agent work.

What Are Artifacts?

Artifacts are a core pillar of the Agent Interface paradigm.

When you chat with AI, the output disappears into a conversation thread. Scroll up, copy-paste, lose track. The work is done, but where did it go?

Artifacts are different. They're the tangible, shareable, refinable outputs of agent work:

Reports
Analyses
Drafts
Charts
Summaries
Comparisons
Datasets
Timelines

Every artifact is proof of work accomplished. Something you can point to, share, and build upon.

Artifacts vs Files

Files are static containers. You create them, save them, organize them into folders. They sit on your disk.

Artifacts are more than files. They carry:

Context What prompt created this? What agent made it? What sources were used?
Provenance When was this created? Has it been updated? By whom?
Shareability One click to share. Public link, like Google Docs. No exporting, no attaching.
Continuity An artifact can spawn new agent work. Refine this. Update that. Expand on this section.

The Artifact Lifecycle

Created -> Reviewed -> Refined -> Shared

Created - An agent completes work and produces an artifact. A research report, a comparison table, an analysis.

Reviewed - You look at the result. Does it answer the question? Is the analysis sound?

Refined - Ask the agent to go deeper on a section, update with new information, change the format. The artifact evolves.

Shared - One click. A public link. "Sent from Rush" - like email signatures, but for AI work. Here's what that looks like.

Why Artifacts Matter

In the chat paradigm, AI work is ephemeral. You ask a question, get an answer, move on. The value is consumed and forgotten.

Artifacts make AI work durable. The research you did last week is still there. The analysis you ran can be shared with your team. The comparison table can be updated when new data arrives.

This changes the economics. Instead of redoing work, you build on it. Instead of explaining what you found, you share the artifact. Instead of starting from scratch, you refine.

Artifacts in Rush

Every agent in Rush produces artifacts. Rabbit Hole creates research reports with confidence ratings and source citations. Content Writer produces platform-native drafts. Email Ninja generates inbox summaries and draft responses.

These aren't chat responses. They're deliverables. Tangible outputs you can use, share, and build upon.

The native output of AI work.

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