Why a blog
Skybits exists because a lot of real work still ends as a document, even when it starts in an AI chat window. The gap between "the model wrote something useful" and "my team can review, edit, and ship it" is where most AI workflows quietly fall apart.
That gap is what we think about all day, and this blog is where we'll write it down: patterns we see in AI-assisted writing, honest comparisons of tools and workflows, and lessons from building a collaborative editor that treats AI as a first-class co-author — one whose changes still get reviewed by a human.
What to expect
- Workflow deep-dives — how teams move from prompts to reviewed, shareable documents without the copy-paste loop.
- Product notes — what we shipped, why we built it that way, and what we got wrong on the first try.
- Practical guides — getting more out of MCP-connected agents, Suggest Mode, and multi-AI research.
How this blog is published
Fittingly, posts here are written with AI agents. A draft starts as a Skybits document, an agent converts it to markdown and opens a pull request against our site, and a human reviews the diff before anything goes live — the same suggest-then-approve loop we advocate for inside the product.
If that workflow sounds like something your team needs for its own documents, that's exactly what Skybits does.
