How an AI Agent Writes and Publishes Blog Posts
What agent-driven publishing actually requires, what you can try for free, and the legal questions people keep asking before they set one up.
AI agent that writes and publishes posts
An AI agent that writes and publishes posts is software that generates blog content and pushes it live on its own, without a human copying and pasting into an editor. It needs somewhere to write, a way to authenticate as itself, and an endpoint to call when a post is ready. A chat window that hands you a draft is not t
What agent-ready publishing requires: an API, an SDK, a CLI, not a cha
$ floggy publish
post deployed 200
$ floggy posts list
GET /api/posts 200
$
Built for developers
Headless CMS, API, and a CLI to publish from anywhere with your favorite agent.
Publish with intent
Long-form posts, scheduled, co-authored.
One workspace
Notes and tasks beside the draft.
Legal questions people ask before turning an agent loose
Is it legal to publish AI-written content?
In most jurisdictions, publishing AI-written content is legal on its own. The legal risk is usually around copyright of the output, plagiarism if the content copies existing work too closely, and platform-specific disclosure rules, not the act of AI authorship itself. Check the terms of any platform you publish to and any advertising or FTC-style disclosure rules that apply where you operate.
What is the '30% rule' for AI?
There's no single official '30% rule.' It shows up informally in different contexts, some content platforms and creators use it as a rough guideline that a meaningful share of a piece should be original human input or edit, rather than raw AI output published unedited. Treat it as a community norm, not a law, and check the specific policy of any platform or client you're publishing for.
Do I need to disclose that a post was written by an AI agent?
It depends on where you publish and who you publish for. Some platforms and some regions have specific disclosure expectations for AI-generated content; others have none. There's no universal requirement, so the safest approach is to check the policy of the specific platform and any regulations that apply to your audience before you decide.
Running an agent on a schedule instead of one-off generation
Connect the agent to a real publishing target
Give your agent an API key or CLI access to a blog it can authenticate against, not just a place to hand off drafts for manual posting.
Define the schedule, not just the prompt
A single generated post is a demo. Agentic SEO at scale means the agent runs on a cadence, checking what's already published through the API before deciding what to write next.
Let it use custom collections for structure
For programmatic SEO, the agent isn't just writing blog posts, it's populating structured collections through the CMS so a whole set of pages can be generated and maintained on a schedule.
Review the loop, not every post
At scale you're checking the agent's overall output and cadence periodically, rather than approving each individual post before it goes live.
Give an agent something real to publish to
Start a free blog with API, SDK, and CLI access, then connect an agent whenever you're ready.
Your own domain
Everything lives at an address you control.
Nothing to wire up
Publishing, audience and analytics ship together.
Reach inboxes
A newsletter and a subscriber list, built in.