# What Is an Agent Artifact? — The Output That Outlives the Session

Canonical: https://commareports.com/glossary/agent-artifact
Published: 2026-09-11

> An agent artifact is the durable output of an AI agent run — a report, an audit, a migration plan. Why chat is the wrong container for it, and what a good artifact has that a transcript doesn't.

# Agent artifact

**An agent artifact is the durable output of an AI agent run — a findings
report, a dependency audit, a migration plan, an evaluation summary — as
distinct from the transcript of the run itself.** It is the part a human
is meant to read, and the part that should still exist next month.

The distinction matters because agents produce both and the tooling
usually only keeps the transcript.

## Why chat is the wrong container

A long agent answer is a document wearing a message costume:

- **Length ceilings.** Output gets truncated, or split across messages
  that then scroll away
  ([too long to paste](/fix/agent-output-too-long-to-paste)).
- **No rendering.** A 300-row table, a diff, a chart, a collapsible
  finding list — markdown in a chat window renders none of these well.
- **No address.** You cannot link a teammate to "the middle of that
  reply".
- **Nowhere to respond.** A colleague's reaction goes into a different
  thread from the thing it is about.
- **No persistence.** Clearing the session deletes the deliverable.

The tell is behavioural: when a person's first move after reading agent
output is to copy it somewhere else, the output was in the wrong place.

## What a real artifact has

| Property          | Why it matters                                                        |
| ----------------- | --------------------------------------------------------------------- |
| Stable URL        | Linkable from a ticket, a PR, an incident doc                         |
| Own rendering     | Tables, charts, drill-downs — an [HTML report](/glossary/html-report) |
| Access setting    | Unlisted, or restricted — an audit is not a public page               |
| Revisions         | Run 14 is diffable against run 13                                     |
| Anchored comments | "This finding is a false positive" sits next to it                    |
| API access        | The agent can read the reaction back                                  |

## The loop that closes

The last two rows are what turn an artifact into a workflow:

1. The agent finishes a run and publishes a report, returning a URL.
2. A reviewer opens it, selects one finding, and comments — "already
   accepted, tracked in PLAT-441".
3. On the next run, the agent fetches the comment threads, sees the
   decision attached to that finding, and suppresses it — with the
   reasoning preserved next to the evidence
   ([let an agent respond to comments](/agents/let-an-agent-respond-to-comments)).

Nobody retyped the feedback into a prompt, and nobody has to remember
the decision in six months.

This is what an agent-facing publishing API is for: an agent creates the
report as an ordinary step of its run, over
[MCP](/glossary/model-context-protocol) or plain REST, authenticated with
a scoped, revocable token rather than a human session
([scoped tokens for AI agents](/agents/scoped-tokens-for-ai-agents)).

## Try it

Comma is free — unlimited reports, unlimited commenters, unlimited
revision history.

**[Give your agent somewhere to publish →](/mcp)**

### Related

- [Where should my agent post?](/agents/where-should-my-agent-post) · [Claude Code output](/agents/share-claude-code-output) · [Codex](/agents/share-codex-output)
- [MCP](/glossary/model-context-protocol) · [HTML report](/glossary/html-report)
- [Agent guides](/agents) · [Glossary](/glossary)