The Missing Layer in Every AI Pipeline

You built the pipeline. The model works. The output is good — surprisingly good, actually. You paste it into Slack to show your team. Then someone asks: "Cool, but where do users see this?" And you realize you have no idea. The Duct-Tape Gallery If you've built anything with LLMs, you've done at least one of these: print(response.choices[0].message.content) and called it a day Written output to a local markdown file that only you can access Built a "quick" React app that took three weeks and still doesn't handle tables Piped structured output into a Google Doc via a script that breaks every time Google changes their API Dumped JSON into Notion through an integration that rate-limits you after 3 requests Stored everything in S3 and built a viewer on top because apparently that's your job now Here's the thing — every single one of these is a document rendering and hosting problem disguised as an application feature. You're not building output infrastructure because you want to. You're bu