We kept running into the same problem: LLMs gave us raw markdown or plain text, but turning that into something client-ready still took too much time.
We tried manual formatting, prompt tweaks, even regex post-processing. None of it scaled well.
So we built MythicText—a formatting layer you can drop into tools like Zapier, Make, n8n, and Relevance. It takes raw AI output and converts it into polished HTML, styled Google Docs, CMS-ready posts, Slack messages, and more.
This came out of our own work building content automations for clients. We’re a small dev team, and this is v1—but it’s already saving us hours per week. We just opened up a free beta (first 500 users get API keys).
We’re hoping to work closely with other builders to keep improving it. If you’re using LLMs in an automated content workflow, we’d love to hear what you’re building and what your biggest formatting pains are.