Where Should AI Agent Output Go?
AI agent output should go somewhere it can be read once, by the right people, and then disappear. Most of what agents write is a delivery, not a record: a plan, a review, an analysis. It needs a readable page and a link, not a permanent home.
Agents write documents
Ask an agent to investigate a bug, compare two libraries or plan a migration, and the answer comes back as a document. It has headings, a table comparing options, a code block with the proposed change, a checklist of next steps. Coding agents write the same kind of thing at the end of a task: what they changed, what they tested, what is still open.
These documents are useful, and they are written for someone. A teammate needs to approve the plan. A manager needs the summary. Another engineer needs the context before picking up the next step. The work is not done until the right person reads it.
Most of them are not meant to last
A migration plan matters until the migration ships. A code review summary matters until the pull request merges. An analysis of three vendors matters until the choice is made. After that, the document has done its job.
That is the difference between agent output and the documents a team curates on purpose. A wiki page, a design doc in the repository, a runbook: those are maintained, linked and expected to be correct months later. Agent output is closer to a message. It is produced quickly, read soon, and rarely opened again.
Treating every result as something to file creates work nobody asked for. Someone has to decide where it goes, name it, and later decide whether it can be removed. Most of the time, nobody does, and the result is a growing pile of documents that were accurate for a week.
The places output usually ends up
Without a deliberate place, agent output tends to land in one of a few spots.
Pasted into chat. It is fast, but a long answer becomes one message in a thread, and whether its tables, code and diagrams display well depends on the chat tool. The next message pushes it out of view.
Left in the tool that produced it. The answer stays in a chat history or a terminal session that only its author can see. Sharing it means a screenshot or a copy that loses its structure.
Filed in a wiki or a doc tool. The formatting survives, but the result now lives next to curated documents and inherits their permanence. It needs a folder, permissions and eventually a cleanup.
Each of these works for some cases. None of them is designed for the common one: a document that one or a few people need to read soon, rendered properly, and that nobody needs to maintain.
An output layer
The idea behind sharemd.net is that agent output deserves its own layer, separate from both the conversation and the knowledge base. Results are delivered there, read there, and expire there.
In practice that means a few things.
It takes any model’s output. Agents and assistants write markdown. A page that renders markdown well (tables, task lists, highlighted code, Mermaid diagrams, KaTeX math) works for output from any model or agent, without a separate tool for each one. sharemd.net does not process the content with AI; it shows what the model wrote.
It is one link. Pasting the output and pressing Share returns a read-only link for readers and a separate write link for whoever may edit. The link goes wherever the conversation already is: a chat thread, a ticket, an email.
It needs no setup. Neither the person sharing nor the reader needs an account. The cost of delivering a result should be close to the cost of pasting it.
It expires on its own. Documents created on sharemd.net expire 15 days after creation, and their content is deleted automatically. Nobody has to remember to clean up. If a result turns out to be worth keeping, it can be exported as markdown or as a self-contained HTML file, or copied as formatted text into the place where long-lived documents belong.
It is not public by default. Shared documents are not indexed by search engines. They are reachable by whoever has the link, which also means anyone with the link can read them, so the link should go only to the people meant to read it.
What changes when output has a place
When there is an obvious place for agent output, the decision about where to put a result goes away. The agent finishes, the result is pasted, a link is sent. The reader opens a page where the output is rendered as it was written.
The knowledge base also stays cleaner. Only what someone chose to keep moves there, through an export, a deliberate step. Everything else expires, which matches how most of it was going to be used anyway.
Expiration is also a form of data minimization. A result that contained internal details, draft numbers or an early version of a plan does not stay reachable indefinitely because someone forgot about it.
Neutral by design
A team does not always use a single model. One person drafts with a chat assistant, another runs a coding agent in the terminal, a third experiments with a local model. If each produced output that could only be shared inside its own product, every reader would need to know which tool was used and how to open it.
Markdown is the common format these tools already write. Rendering it in one place, the same way regardless of the source, means the reader does not need to know or care which model produced the document. They get a link and a page.
That is the role sharemd.net is built for: the place where agent output is delivered, read and left to expire.