What is PromptQL?

PromptQL is a multiplayer AI agent designed for teams — think Claude or ChatGPT, but with shared threads and a shared brain. Instead of keeping knowledge locked in private AI chats or scattered across Slack, docs, and tickets, PromptQL lets teammates collaborate in real time. Tag someone to review, correct, or refine an answer without losing the reasoning trail. It connects to databases, SaaS apps, coding agents, and events, and it captures tribal knowledge so context compounds across the team.

Who it's for

• Customer success teams that need instant, accurate answers about account health without digging through stale wikis.
• Support teams that want to turn recurring fixes into reusable skills the whole team can rely on.
• Engineering and data teams that need to keep semantic context up to date without manual wiki maintenance.

Key features

Shared threads with teammate tagging

PromptQL works like a team chat where the AI is a full participant. You can tag a colleague to review or correct an answer, and the system preserves the reasoning behind every change. That means context doesn't vanish when someone leaves a conversation.

Learn-by-correction skills

When the AI gets something wrong, you correct it once — and that correction becomes a reusable skill for everyone. For example, telling PromptQL to "exclude test accounts from revenue" turns into a permanent, cited rule that applies to future queries across the team.

Automatic context bootstrapping

PromptQL seeds its wiki from your existing tools — Slack, Google Docs, Snowflake, PostHog, Salesforce — in about 60 seconds. It reads your data sources and creates structured wiki pages automatically, so you don't have to start from scratch.

Context suggestion and conflict detection

As people work, PromptQL watches for outdated assumptions or conflicting information. When a team member corrects a stale data source, the system suggests a wiki update and links it to the real work that triggered the change. This prevents context rot without asking anyone to "update the wiki."

What stands out

"The fastest way to maintain context is to stop asking people to maintain context."

PromptQL flips the usual knowledge-management problem on its head. Instead of relying on someone to update a wiki after the fact, it captures corrections in the flow of real work. Every time a teammate fixes an answer, that correction becomes shared context — cited, scoped, and ready for the next session. The result is a system that gets smarter with every task, not one that decays in a wiki nobody opens.

Worth checking out if…

Your team spends more time hunting for context than doing the actual work. If you're tired of repeating the same answers, losing knowledge when people leave, or maintaining a wiki that's always out of date, PromptQL turns your daily corrections into a compounding asset. It's especially valuable for teams that already use Slack, Google Docs, and a modern data stack — and want their AI to learn from the whole team, not just one person's private chat.