PromptQL: multiplayer AI for product teams

PromptQL launched on Product Hunt on July 25, 2026, reaching the #2 position on its launch day. The product positions itself as “multiplayer AI for teams” — a shared workspace where team members work in AI threads together rather than in separate personal conversations with Claude or ChatGPT.

The core problem it addresses is fragmentation. When a team’s AI usage is distributed across individual chat sessions, useful reasoning, resolved decisions, and synthesized research disappear when the session closes. PromptQL keeps threads shared and persistent, so a team member can tag a colleague to review an AI-generated answer, refine it, or disagree with its framing. The result is that AI-assisted reasoning becomes a team artifact rather than an individual one.

Knowledge captured in threads feeds an automatically generated wiki, with revision history and audit trails. The system integrates with databases, Slack, Google Docs, Snowflake, Salesforce, and other tools in the organization’s stack, drawing context from multiple sources into a unified workspace. Scope-based access controls separate confidential, external, and personal information at the permission level.

For product managers, the relevant shift is organizational rather than individual. Most PM work on AI tools has focused on personal productivity — drafting faster, researching faster, synthesizing faster. PromptQL is aimed at the team layer: making sure that when a product team reaches a conclusion through AI-assisted reasoning, that conclusion is visible to everyone who needs it and doesn’t have to be reconstructed from scratch the next time a similar question arises.

The company reports customers at Cisco, McDonald’s, Instacart, and Lightspeed, suggesting the model has traction in complex enterprise environments where knowledge management across teams is an existing pain point.