We didn't set out to build a context manager. We were building a headless CMS.
At some point early on, we started producing content with AI tools to support that product. And we ran into something we couldn't stop thinking about: the output quality wasn't a model problem. It was a context problem.
The AI was fine. What wasn't fine was how we were feeding it information about our product. We had meeting transcriptions in one tab, brand notes in another, positioning docs in a third. We were working across Notion, Obsidian, Claude Code, and VS Code to produce a single piece of content. Four tools. A lot of copy-pasting. And even then, the output would miss things. It would get the tone slightly wrong, rehash old positioning, make claims we'd already moved away from.
The context was good. It just wasn't organized in a way any tool, human or AI, could reliably use.
What we actually discovered
Good context about your product, your brand, your customers is the difference between AI content that's usable and AI content that needs a full rewrite. Most teams don't have a context problem on paper. They have it in practice.
The information exists. It's in Notion pages nobody updates, in Slack threads that scroll off, in the heads of whoever briefed the last campaign. The problem is that it decays. It gets fragmented. And when someone (or some AI) goes to actually write something, the context they're working from is already six months stale.
We found ourselves doing the same thing over and over: gathering context from four different places, stitching it together manually, then feeding it into the AI. It worked, but it was exhausting. Quality was always at the mercy of how recently we'd done that sync.
What we built
We pivoted. We stopped trying to compete in a CMS market that honestly didn't need another entrant, and we started building the thing we actually kept wishing existed: a place where your product, brand, and company context lives in a structured, maintained, usable form.
We call the structure a Binder. Think of it as a living document. Not a wiki that slowly goes stale, but a source of context that gets updated as your product and thinking evolves. When you write content with AI, the Binder is what grounds it. The AI stops recycling old positioning or making up features because the context is right there, current and structured.
The editor is free to try. The context layer is what we're actually building.
Where we're going
We think context management is going to be one of the most important infrastructure problems AI-native teams figure out over the next few years. Right now it's nobody's job. It just happens informally and degrades constantly. As teams lean more heavily on AI to produce content, that informality becomes a real liability.
The future we're building toward: a team member or AI agent can pick up any content task, a blog post, a sales email, a product spec, and automatically start from context that's current, accurate, and structured. Nobody briefs anyone. Nobody re-explains the positioning.
We're not there yet. Honestly, we've just started. But the direction is clear, and we think it's the right one.
If you want to try it, Inbind is free to download.