How does PromptQL learn?

PromptQL learns by being corrected. It starts from existing context in Slack, docs, tickets, CRM, and warehouse tables, and on every task it shows its work—the sources it pulled and the assumptions it made. Correct it once, and that becomes shared context.

What integrations does PromptQL support?

PromptQL integrates with Slack, Google Docs, Snowflake, PostHog, Salesforce CRM, and more.

Does PromptQL have a wiki?

Yes, PromptQL suggests edits to a wiki with interconnected pages that span skills, knowledge, and the semantic layer. It has revision history, audit trails, and editorial controls.

Is PromptQL available on mobile?

Yes, PromptQL is available on iOS and Android via the App Store and Google Play.

PromptQL

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Multiplayer AI with shared context. Maintaining context is the second job nobody wants, so PromptQL does it.

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What is PromptQL?

PromptQL is a multiplayer AI agent that maintains shared context for teams. It learns from corrections and turns them into reusable skills, team knowledge, and semantic-model changes. It starts from existing context in Slack, docs, tickets, CRM, and warehouse tables, and suggests updates to a wiki. With shared threads and a shared brain, it helps teams work faster with fewer meetings and status updates.

What can PromptQL do?

Shared AI threads
Work with your team in shared AI threads with a shared brain.
Context learning
Correct it once and it sticks for everyone, becoming reusable skills.
Wiki suggestions
Turns generated context into suggested edits to your wiki.
Integrations
Reads from Slack, Google Docs, Snowflake, PostHog, Salesforce CRM.
Scopes and governance
Scopes hold end to end: retrieval, creation & update, with granular view & edit control.
Citations and audit trails
Citations to real work, revision history, audit trails & editorial controls.

Who is PromptQL for?

Customer Success teams: Assessing churn risk for accounts by analyzing usage data, support tickets, and CRM data.
Engineering teams: Pulling revenue data for board decks and updating data source references.