Tools & Platforms

HTML Over Markdown

When AI Output Becomes an Interface, Not a Report — and What It Means for Enterprise Document Generation

著者

Tenten AI Research

Applied AI

公開日

2026年6月15日

読了時間

14 min

HTMLMarkdownartifactsdocument generationagent output
HTML Over Markdown

概要

For most of the current generation of AI tooling, the default output format has been Markdown. It is what chat interfaces render, what coding agents emit, and what every frontier model has been tuned to reach for. It is also, increasingly, the wrong default.

The reframe — stated publicly by Andrej Karpathy and arrived at independently by practitioners on the Claude Code team such as Thariq — is simple: Markdown is a report; HTML is an interface. A report is something you read. An interface is something you act on. As models get better at producing rich, self-contained output in a single shot, the format you ask them to use decides whether the recipient receives a wall of text or a small working application.

This matters most inside enterprises, where the bulk of AI output is deliverables — analyses, status documents, dashboards, reviews — that someone is supposed to act on. Delivered as Markdown, they are read and set aside. Delivered as self-contained interactive HTML, they become artifacts the recipient can filter, manipulate, and continue working inside.

This is not a universal upgrade. HTML is heavier, harder to version-control, and carries real security and accessibility costs when produced carelessly. Markdown remains the correct choice for source-controlled documents and for any text destined to be read by another model.

This paper argues that output format is a user-experience decision, not a default — and lays out the patterns Tenten AI uses to make that call, and to turn HTML into a reliable output mode for production coding agents.

全文

白書の全文を解放

情報をご提供いただくと、すぐに全文をご覧いただけます。月1〜2回の技術ニュースレターをお届けします。いつでも配信停止できます。

送信することで、Tenten AI からの技術情報受信に同意するものとします。いつでも配信停止できます。

AI ワークフローを、
あなたの業務の中へ

FDE・FDM でチームに入り込み、現場が日々動かす AI エージェントとワークフローを構築します。数四半期ではなく、数週間で稼働。