PromptQL
The official website of PromptQL claims it is the first multi-person collaborative Bot experience: create a Bot for a specific task, invite those who hold the context to join, and let the Bot continuously maintain dashboards, tables, documents, presentations and kanban boards, covering scenarios such as reliability troubleshooting, indicator metrics sorting, and delivery progress synchronization.
Updated: 2026-10-26
What is PromptQL?
PromptQL's official website defines itself as "The world's first multiplayer bot experience" — create a Bot for a specific task and invite people who know the context to join in. Its difference from a single-player AI assistant lies in shared context: the examples repeatedly cited on the official website are that only three people each know part of something, and the Bot will check these three places at the same time and revise the product based on that; the official website also states that a Bot can run 24×7, work with a browser on an isolated computer, and build custom tools to connect to any API or database.
Who is it for?
- Data teams: Teams facingmetrics conflicts, pipeline outages, duplicate metrics and dashboards, and in need of organization and traceability
- Engineering teams: Teams that rely on verbal context across multiple people for troubleshooting alerts, reproducing customer defects, and communicating delivery timelines
- Finance and GTM Engineering: Teams that need to reconcile ARR, track missing UTMs in attribution, and generate customer briefs
- Security and HR Engineering: Conduct access reviews, split security questionnaires, and perform analysis involving sensitive personnel data
- Managers: Teams that need board materials, competitor radar, anddashboard plans to be continuously maintained
Key features
5Five Types of Work Bots
The official website provides five scenarios: Dash, Sheet, Doc, Deck, and Board. They are respectively monitoring the reliability panel to verify the causes of spikes, fixing data quality tables and rebuilding them, writing review conclusions back into documents, rewriting indicator reviews based on warehouses and last month's materials, and rearranging Kanban plans based on meeting minutes and personnel changes.
Shared Multi-Person Context
The official website states that collaborators can edit and delete messages in the shared conversation, invite others to join when the Bot gets stuck or produces shareable outputs, and every modification is logged.
Permission Boundaries & Private Bots
The official website states that users cannot ask the Bot to access other users' data. Users can also create private Bots to conduct sensitive investigations and then report the results. In the FAQ section, it also specifically clarifies whose permissions the Bot uses.
Build Custom Tools & Artifacts
The official website states that the Bot can build tools to connect to any API or database, as well as create products and small applications. Examples include sorting duplicate metrics, reconciling ARR, tracking attribution, conducting access reviews, and filling out security questionnaires.
Role-based scenario library
The official website lists real tasks for roles such as CEO, Data, Engineering, Security, Product, Finance Engineering, GTM Engineering, and HR Engineering, covering board materials, competitor radar, defect reproduction, and onboarding checklists.
How to use PromptQL
- When creating a Bot, follow the official website's recommendation to give it "one responsibility or one objective" instead of asking one question at a time.
- first specify clearly what the deliverable is, whether it's a table, a document, or a presentation.
- First validate a real workflow using the Playground tier, which is marked as permanently free on the official website.
- the Team tier starts at $40 per paying user per month and is billed weekly, while the Enterprise tier starts at $1,000 per month and includes single-tenant deployment.
- Confirm permission boundaries first: The official website states that the Bot uses the caller's own permissions and cannot access data across users.
- use a private Bot for sensitive investigations.
- First determine who can access customer tables and personnel data, and have the Bot only generate draft fixes without directly modifying permissions.
- Feed the information "known by humans but not present in the data" to the Bot: invite collaborators to supplement the context and avoid letting it guess based on data.
- For industries such as finance, healthcare, and retail, you can refer to the corresponding industry pages on the official website and confirm the deployment form with internal compliance before implementation.
- BYOC or self-hosting falls under the Custom plan, and you need to contact the official for negotiation.
Traffic & popularity
Data month Sep 2026
PromptQL receives about 85.8K visits per month and ranks #361,644 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct59.1%
- Search25.9%
- Referrals4.1%
- Social4.1%
- Display ads3.6%
- Other3.2%
Top countries
- India45.0%
- United States27.3%
- Mexico7.0%
- Brazil5.1%
- Indonesia2.8%
Estimated from third-party traffic data.
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