Chibi AI

The interesting part of Chibi AI isn't the editor — plenty of tools have editors. It's the combination of persistent context and model choice. Document memory holds context for the piece you're working on; global memory carries brand voice and guidelines across everything. That split is what makes 'create content guidelines once, then use them everywhere' a real workflow rather than a slogan, and it directly addresses the complaint that AI forgets what you just told it. Personas are the second pillar. You build separate assistants for different content types, each calibrated to a voice and expertise, and switch between them mid-project. Used well, this is how a freelance writer keeps five clients' voices distinct without rebuilding prompts each time — Adam F. describes exactly that pattern with templates and built-in commands. OpenRouter is the third. Rather than locking you to one vendor's models at a premium, you route to hundreds of models at direct market rates. That's a genuine structural difference from closed platforms, and the vendor's own framing — "we don't hide the AI costs" — suggests model spend is separated from the flat platform fee. Weaknesses are real. There's a learning curve: personas and memory don't configure themselves, and sloppy setup produces exactly the generic output you switched tools to avoid. Chibi is also explicitly built for people who want to write with AI, not have AI write for them. If your goal is pasting a keyword and getting a finished article, this is more friction than you want. The flat $29/month platform fee applies regardless of how much you use it, so light users subsidize heavy ones — though for anyone writing daily, that's the point. Where it fits: solo professionals and small content teams with an established voice and repeatable formats — blogs, newsletters, course content, marketing copy, even book development. Where it doesn't: teams that need to swap tools freely without configuring anything, and anyone who wants the AI to do the thinking.