Playground web
Free source (opens in a new tab)
Month
For: Trying bots with a few coworkers
Limits
- Free workspace to build multiplayer bots
Includes
- Multiplayer bots
Productivity & writingDocumented overviewLast checked Oct 1, 2026
PromptQL: Pricing, Features & Best Use Cases
Multiplayer AI coworker bots for teams, with shared context, running on their own computer and available on desktop and mobile.
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Our take: PromptQL suits data, engineering and operations teams that want shared AI bots working on their own computer with team context, where several people can steer one bot instead of each chatting alone.
Main limitation: Usage is metered in model-dependent OLUs, Team seats are paid in $40 increments, and Enterprise starts at $1,000 per month.
Is PromptQL right for you?
PromptQL suits data, engineering and operations teams that want shared AI bots working on their own computer with team context, where several people can steer one bot instead of each chatting alone. Based on the vendor's documentation, not on a hands-on test.
Best for: Data teams
Also a good fit for
- Teams wanting shared AI coworkers
Consider another tool if team plan at $40/user/month
Or if
- Usage measured in OLUs that vary by model
- Enterprise starts at $1,000/month
PromptQL in the news
Headlines from US outlets, selected automatically — not endorsements. Updated Oct 2, 2026
PromptQL pricing and usage limits
Prices checked Oct 1, 2026 on the official US pricing page. Official pricing ↗ Prices and limits change often.
Free access and trial conditions
Playground is always free.
Not stated beyond the free Playground.
Paid plans: what changes as you upgrade
Team web
$40 per user per month, in $40 increments source (opens in a new tab)
Week
For: Teams where some users need more usage
Limits
- Every user starts free
- Paid in $40 increments billed weekly
Includes
- Shared context: Knowledge, Skills, Semantic layer
Enterprise web
$1,000/mo source (opens in a new tab)
Month
For: Organizations needing dedicated infrastructure
Limits
- Consumption based with a monthly minimum commit
Includes
- Unlimited users
- Single-tenant deployment
1 more
- Everything in Team
Custom web
Custom pricing source (opens in a new tab)
Custom
For: Contract-priced deployments
Includes
- BYOC or self-hosted deployment
- Bring your own models
1 more
- Dedicated forward-deployed team
Usage caps, credits and extra costs
Usage is measured in OLUs that vary by model; open-weight models consume a fraction of what frontier models use.
Not stated.
What is PromptQL, and how does it work?
PromptQL lets teams spin up AI coworker bots for specific tasks such as a broken pipeline or a dashboard. Teammates can join the same bot, review its work and correct assumptions. Bots run on their own computer with a browser and borrow the permissions of whoever asks. Shared context covers knowledge, skills and a semantic layer.
What you provide and what you get back
You provide
- Data and context sources
- Messages in a shared chat
- Slack or Teams requests
- Security and authorization rules
You get back
- Dashboards, sheets, docs and decks built by bots
- Decisions and fixes logged in artifacts
- Tools and apps created by the bot
Where you can use it
- Platforms
- Desktop, Mobile
- Account
- Required
- Clients
- Web, Mac, iOS, Android, Slack, Teams
- Cheapest models
- Open-weight models via Fireworks at fractions of an OLU
- Deployment
- Multi-tenant, single-tenant, BYOC, self-hosted
- Billing
- Team billed weekly in $40 increments
Where PromptQL is most useful
Scenarios are worked out by our editors from the documentation; the actual result depends on your input and plan.
Data and analytics investigations
- Who
- Data and analytics teams
- You provide
- Questions about a metric spike or stale pipeline
- Expected result
- A traced cause with evidence and the right owners pulled in
- Plan needed
- Playground or Team
- Limitation
- Bot cannot reach data a user lacks permission for source (opens in a new tab)
Financial services workflows
- Who
- Financial services teams
- You provide
- Board deck, metrics review or data quality sheets
- Expected result
- Drafts built from warehouse data with gaps and owners flagged
- Plan needed
- Team or Enterprise
- Limitation
- Needs data connections and review source (opens in a new tab)
Healthcare data analysis
- Who
- Healthcare data teams
- You provide
- Datasets and context sources
- Expected result
- Analysis of data with shared team knowledge
- Plan needed
- Enterprise for single-tenant deployment
- Limitation
- Compliance setup is not described on the fetched pages source (opens in a new tab)
What PromptQL does, and where it stops
Multiplayer bots
Lets many users work with the same bot in a shared chat that anyone can edit or delete messages in. Brings the right people into a task.
Shared context
Maintains Knowledge, Skills and a Semantic layer as a shared context wiki. Reduces repeating context.
Per-user permission borrowing
Prevents a user from asking the bot to access another user's data. Protects permissions in shared chats.
Private bots
Lets users spawn private bots to do secret work and report back. Allows individual work inside a team workspace.
Isolated computer for each bot
Gives each bot its own computer and browser and runs 24x7. Lets bots build tools and apps safely.
PromptQL: strengths and limits
Reasons to choose PromptQL
- Free Playground plan Teams can test bots without paying. documented source (opens in a new tab)
- Desktop and mobile apps listed Teams can use bots on web, Mac, iOS and Android. documented source (opens in a new tab)
- Choice of models per bot Costs can be tuned by assigning cheaper models to simple bots. documented source (opens in a new tab)
- Available inside chat tools Can be used as an agent in Slack or Teams. documented source (opens in a new tab)
- Open-weight options Open-weight models cost far fewer OLUs than frontier models. documented source (opens in a new tab)
Check before paying for PromptQL
- Team plan at $40/user/month Scaling costs per user quickly for large teams. documented source (opens in a new tab)
- Usage measured in OLUs that vary by model Costs vary with model choice and are hard to forecast. documented source (opens in a new tab)
- Enterprise starts at $1,000/month Small teams may find the entry commitment high. documented source (opens in a new tab)
- Shared-bot messages visible to all participants Sensitive discussions need private bots. documented source (opens in a new tab)
- Privacy page unavailable The privacy URL returned 404, so data handling is unverified. documented source (opens in a new tab)
How to use PromptQL for investigating a metric spike with a shared bot
Set up PromptQL
- Sign up for PromptQL and open the Playground workspace.
- Connect your data and context sources.
- Set security and authorization rules.
- Invite teammates and optionally add the bot to Slack or Teams.
Example: investigating a metric spike with a shared bot
- Start a bot with the goal of explaining Tuesday's reliability spike.
- Let teammates add what they know, such as a late deploy.
- Watch the bot test each theory against the data.
- Review the dashboard panel it adds and the logged fixes.
Review and export the result
- Verify the bot's evidence against the source data.
- Confirm users only see data their permissions allow.
- Check OLU usage by model and switch bots to cheaper models if suitable.
The orders model hasn't refreshed since yesterday. Trace the pipeline, find the broken dependency, pull in whoever owns it, and post the fix with evidence.
PromptQL API
API access and separate billing
PromptQL has no public API in its official documentation. Docs describe plugging in data sources, security rules and Slack or Teams agents. API documentation ↗
Privacy, data use and commercial rights
Summarized from the vendor's current policies; this is not legal advice and a vendor's badge is not an independent audit.
How your inputs and outputs are handled
Bots run on isolated cloud computers and access connected data subject to user permissions.
Commercial use and plan restrictions
Single-tenant, BYOC and self-hosted options are Enterprise or custom.
Controls for business users
- Authorization rules
- Single-tenant deployment
PromptQL alternatives by need
"Better suited" is based on documented features and pricing, not on a head-to-head test.
Claude: better suited to
ChatGPT: better suited to
Notion AI: better suited to
Explore PromptQL further
PromptQL pricing, plan by planEvery plan with USD prices, limits and what is free.Best PromptQL alternativesTools for the same job, by need and starting price.Best AI writing and productivity toolsOur picks in this category, compared by price and free tiers.Prompts for PromptQLReady-to-copy prompts with their sources.
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PromptQL FAQ
How is PromptQL priced?
Playground is free, Team starts at $40 per user per month in $40 increments billed weekly, and Enterprise starts at $1,000 per month with a minimum commit. source (opens in a new tab)
What is an OLU?
A normalized unit used to measure usage across models; frontier models consume the most and open-weight models far fewer. source (opens in a new tab)
Can the bot see everyone's data?
No. Users can't ask a bot to access another user's data, per the site, though it marks this with an asterisk. source (opens in a new tab)
Which devices does it run on?
Web, Mac, iOS and Android, plus Slack and Teams. source (opens in a new tab)
Can I bring my own model?
Yes, on the custom plan, which also offers BYOC or self-hosted deployment. source (opens in a new tab)
Sources and review methodology
Official sources and verification dates
- PromptQL homepage · checked Oct 1, 2026
- PromptQL Pricing pricing · checked Oct 1, 2026
- PromptQL download homepage · checked Oct 1, 2026
- https://promptql.io/en/docs docs · checked Oct 1, 2026
Not verified: Privacy policy (404); OLU price in dollars; Included usage per plan; Retention and training terms.
How we documented and maintain this page
Every fact about PromptQL above comes from the 4 official pages listed here, last compared on Oct 1, 2026; we have not run PromptQL ourselves, so it has no editorial score. How we check and re-check pages.
Article updated Oct 10, 2026; prices checked Oct 1, 2026. Outbound links to vendors are plain links; we do not earn commissions. How we review · Report an error