ContextWell
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Use cases

One knowledge base. Every AI tool.

ContextWell is one thing — your team's knowledge base. The place your org's context lives, that people edit and AI tools read from and write back to. Some call it an AI OS; some call it the corpus. The label you reach for just depends on what you're trying to get done.

what you get

Put your knowledge to work.

01

Never start from scratch

Open Claude or Cursor and it already knows the account, the project, and what you decided last week — because it reads the same knowledge base your team writes in. No re-pasting the brief into every new chat.

For instance A new designer asks “what's Acme's brand voice?” and gets it from the brief, not a Slack scroll.

02

Knowledge that compounds

Work doesn't evaporate when the chat ends. Useful output gets written back into the KB, so the next session — and the next teammate — starts from the improved version. Captured, improved, reused.

For instance A solved support issue becomes a documented fix the whole team and every agent can reuse.

03

Switch AI tools without losing your context

Your knowledge lives in portable markdown, not a vendor's memory. Move between Claude, Cursor, ChatGPT, Codex — or adopt a tool that doesn't exist yet — and the workspace, history, and skills come with you.

For instance Procurement swaps your AI vendor; your team keeps every doc, decision, and skill.

04

Memory that outlives any one person

Decisions, the reasoning behind them, and the reversals all live in the KB. People leave, tools change, quarters end — the institutional memory stays. Onboarding becomes learning from evidence, not vibes.

For instance Six months later, “why did we drop that pricing model?” has a written answer, not a shrug.

05

Playbooks that actually get followed

Turn your team's best ways of working into skills — versioned, attributed, reusable. They surface as slash commands in every harness, so the right process runs the same way no matter who, or what, runs it.

For instance /skill_review-a-pr applies your real review standard in Cursor, not a generic one.

Give your team one place to know.

A knowledge base your people edit and your AI tools work from — so nobody, human or agent, ever starts from scratch.