PromptQL

PromptQL is a multiplayer AI agent built around shared context. It is described as a way to maintain context in work, with the line that it does the second job nobody wants: keeping context current. The tool starts from information already scattered across Slack, documents, tickets, CRM systems, and warehouse tables, and turns corrections made during real work into shared knowledge that sticks for everyone.

Its interface emphasizes collaborative threads and a shared brain. On each task, PromptQL shows the sources it pulled and the assumptions it made, then lets users correct the result or bring in a teammate who knows the right context. The site says that a correction can become shared context such as a reusable skill, team knowledge, or a semantic-model change. It also presents a Wikipedia-like operating model with citations to real work, revision history, audit trails, editorial controls, and notifications on changes, page creations, and deletions. The page examples show review-and-edit flows and an option to add material to the wiki.

PromptQL is also described as having scopes for access control. These scopes cover retrieval, creation, and update, and are shown as useful for external, confidential, and personal use cases. The page mentions granular view and edit control, bulk operations for rapid changes, and different connected neighborhoods visible to each scope. It also states that customer-facing pages can be shared directly with external collaborators while internal playbooks and escalation notes remain scoped to PromptQL teams.

The product is available for Mac with Apple Silicon, Windows, iOS, and Android, and the page offers a book-demo option. The page also names areas for financial services, healthcare, and retail, including workflows for financial services and AI analysts for health data and retail data workflows.