PromptQL
Multiplayer AI agent that replaces Slack for team collaboration.
PromptQL's multiplayer AI is a genuine innovation for teams drowning in context switching. The ability to correct the AI once and have that knowledge propagate across the team is powerful. However, adoption hinges on integration depth and trusting AI with team communication. For early adopters, it's a glimpse of the future.
Verified 4d ago · liveness 76/100 · cite: rightaichoice.com/tools/promptql
- Engineering teams reducing context switching and status meetings
- Customer support teams with shared knowledge and handoffs
- Product managers needing cross-functional visibility
- Operations teams automating workflows and reducing manual wiki updates
- Teams with strict on-premise or air-gapped requirements (Enterprise only, custom)
- Very small teams (<5) where multiplayer features are underutilized
- Users who prefer lightweight, single-purpose chat apps
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Skip PromptQL if you're a tiny team that doesn't need multiplayer AI or prefer lightweight, offline-friendly chat apps.
The Free plan limits you to 5 users and 100 queries per month, so growing teams must upgrade to Pro at $19/user/month.
For teams of 5-50, PromptQL's Pro tier at $19/user/month is comparable to Slack's paid plans, but replaces both Slack and some AI tools. Startups on the Free tier get solid value, but larger enterprises may find custom Enterprise pricing negotiable.
In short
PromptQL — Multiplayer AI agent that replaces Slack for team collaboration. Best for Engineering teams reducing context switching and status meetings, Customer support teams with shared knowledge and handoffs, Product managers needing cross-functional visibility. Free to start; paid plans from $19/mo.
What people actually say about PromptQL — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
37 mentions across 3 sources (Hacker News, Product Hunt, Bluesky) · researched Jul 24, 2026.
- +Multiplayer AI allows simultaneous team interactions on shared context.
- +Grounds AI responses in real business data via knowledge graph.
- +Integrates with Hasura's metadata layer for accurate data access.
- +Reduces context-switching by replacing Slack as a single interface.
- +Claims 5x accuracy over Claude and MCP in data retrieval tasks.
- −Name is confusingly similar to GraphQL, causing brand confusion.
- −Tight coupling with Hasura may deter non-Hasura users.
- −Limited independent reviews; most buzz is from launch events.
- −Vague marketing claims ('spiritual successor') undermine credibility.
- −Unclear how it scales for companies with complex data stacks.
- • Potential overage charges for high API usage or data retrieval volumes
- • Enterprise tier likely requires Hasura subscription
Viability Score
How well maintained and how widely used is PromptQL? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Multiplayer AI chat with shared threads
- Natural language querying across integrated tools
- Real-time collaborative AI interactions
- AI learns from corrections and builds shared context
- Automatic skill creation from corrections
- Built-in wiki with revision history and citations
- Granular access controls with scopes (internal, confidential, personal)
- Desktop app for Linux (AppImage, .deb)
- iOS and Android mobile apps
- Integrates with Slack, Google Docs, Snowflake, Salesforce, etc.
- Audit trails and editorial controls
- Seeds context from existing tools (Slack, docs, tickets, CRM)
- Supports external collaboration with customers
About PromptQL
PromptQL is a multiplayer AI agent designed to replace traditional team communication tools like Slack. It provides a shared chat interface where team members can simultaneously interact with an AI that has access to the team's knowledge base, integrations, and workflows. The AI learns from corrections, building a shared context that persists across sessions. Key features include natural language querying across integrated tools, real-time collaborative threads, automated skill creation from corrections, a built-in wiki for knowledge management, and granular access controls (scopes). PromptQL is built for fast-moving teams that want to reduce context switching and information silos. Unlike single-user AI assistants, it offers a team-oriented experience with shared threads and a shared brain. It competes with both chat tools (Slack) and AI assistants (ChatGPT, Claude) by combining communication and AI in one place.
Behind the Verdict
PromptQL rethinks team communication by placing a shared, learning AI at the center. Its multiplayer chat threads allow multiple team members to collaborate with the AI simultaneously, with corrections feeding into a persistent brain that grows more useful over time. The built-in wiki and automatic skill creation from corrections reduce redundant questions and manual documentation. Integrations with Slack, Google Docs, Jira, and others let you query live data without leaving the chat. For engineering teams, this can replace stand-ups and status updates. For customer support, it offers shared context across handoffs. The main uncertainty is how well the AI handles nuanced queries and whether teams will trust it with sensitive internal communication. The free tier is generous for small teams, but the Pro price of $19/user/month may feel steep if the AI isn't yet reliable enough to replace existing tools. Overall, PromptQL is a bold bet on AI-first teamwork, best suited for early-adopter teams willing to train their AI assistant.
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Real-world workflow fit
Concrete scenarios for the personas PromptQL actually fits — and what changes day-one when you adopt it.
You kick off the morning stand-up by asking PromptQL 'What's the status of Project X?' It queries Jira and Slack, summarizing tasks and blockers.
Outcome: You get a concise update in seconds, saving 15 minutes per stand-up and reducing the need for status meetings.
A customer asks about a recurring bug. You ask PromptQL to search the wiki and past tickets, then draft a response based on the fix.
Outcome: You resolve the ticket in half the time, with accurate information pulled from the shared brain.
You ask 'What feedback did the design team share on the new feature?' PromptQL pulls from Slack threads, Google Docs, and Linear.
Outcome: You get a synthesized summary without digging through multiple tools, enabling faster decision-making.
Use Cases
- Ask 'What's the status of Project X?' and get a real-time summary from Jira and Slack.
- Create an automated Slack notification when a high-priority ticket is created in Zendesk.
- Retrieve the latest Google Doc edits without leaving the chat interface.
- Answer customer questions instantly by querying the knowledge base and past tickets.
- Debrief on yesterday's stand-up notes shared across multiple channels.
Limitations
- Free plan caps team size at 5 and queries at 100/month, limiting heavy usage.
- The AI may struggle with highly specialized or ambiguous queries, requiring prompt engineering.
- Enterprise features like custom models and on-prem deployment are only available via paid plan.
- Integration breadth depends on user's existing tool stack; some niche apps may not be supported.
as of 2026-07-28
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published PromptQL tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Small teams of up to 5 members wanting to try multiplayer AI with basic integrations.
What this tier adds
Free tier is the entry point with 5 users, 1 integration, and basic wiki; queries are capped at 100/month.
Pro
$19/user/month
Ideal for
Growing teams needing unlimited integrations, advanced scopes, and priority support.
What this tier adds
Adds unlimited users, all integrations, unlimited wiki, advanced scopes, and priority support over Free.
Enterprise
Contact us
Ideal for
Large organizations with custom integration, on-premise, SSO, and audit log requirements.
What this tier adds
Provides custom integrations, on-premise option, audit logs, dedicated support, and SSO beyond Pro.
Where the pricing makes sense
The company stage and team size where PromptQL's pricing actually pencils out — and where peers do it cheaper.
For teams of 5-50, PromptQL's Pro tier at $19/user/month is comparable to Slack's paid plans, but replaces both Slack and some AI tools. Startups on the Free tier get solid value, but larger enterprises may find custom Enterprise pricing negotiable.
Setup time & first value
How long it actually takes to get something useful out of PromptQL — broken out by persona, not the marketing-page minute.
For a team of 5, connecting integrations and seeding context takes 10-15 minutes. The AI becomes useful immediately, but its accuracy improves over days as you correct it. Full adoption with custom skills may take a week.
Switching to or from PromptQL
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Slack: Connect PromptQL to Slack and seed it with your message history to get context.
- ↗To Slack: PromptQL offers no native export, but you can manually copy wiki content and integration settings.
Integrations
Resources & Guides
- Quickstartpromptql.ai
Getting Started · PromptQL
Get up and running fast from promptql.ai
- Documentationpromptql.ai
Connections · PromptQL
Full product docs from promptql.ai
- Resourcepromptql.ai
Multiplayer Ai Intro · PromptQL
Helpful link from promptql.ai
- Documentationpromptql.ai
Workflows · PromptQL
Full product docs from promptql.ai
- Documentationpromptql.ai
Api Reference · PromptQL
Full product docs from promptql.ai
- Documentationpromptql.ai
Troubleshooting · PromptQL
Full product docs from promptql.ai
- Resourcepromptql.ai
Advanced Queries · PromptQL
Helpful link from promptql.ai
- Documentationpromptql.ai
Security · PromptQL
Full product docs from promptql.ai
- Resourcepromptql.ai
Case Studies · PromptQL
Helpful link from promptql.ai
- Documentationpromptql.ai
Faq · PromptQL
Full product docs from promptql.ai
Official links
Tools that pair well with PromptQL
Common stack mates teams adopt alongside PromptQL, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Promptql vs Guesty
PromptQL and Guesty serve completely different domains: PromptQL replaces team chat with a multiplayer AI that learns from your team, while Guesty automates vacation rental operations. Choose PromptQL if you're a fast-moving engineering or product team wanting to reduce context switching and centralize knowledge. Choose Guesty if you manage 4+ rental properties and need AI-driven messaging, reconciliation, and multi-channel distribution. There's no overlap in use case.
Promptql vs Gem
If your job is hiring at scale, Gem’s AI agents (sourcing, screening, fraud detection) and all-in-one ATS/CRM are unmatched. If your team drowns in Slack threads and context switching, PromptQL’s multiplayer AI with shared context replaces the chat tool entirely. They solve different problems—choose based on whether you need to fill seats or replace Slack.
Promptql vs Poke Interaction Co
Choose PromptQL if you need a multiplayer AI agent that replaces Slack for your team, with shared context, auto-skills, and integrations for engineering/product workflows. Choose Poke if you want an AI personal assistant inside your existing messaging apps (Apple Messages, WhatsApp, Telegram) to manage email, calendar, health data, and personal automations. They serve different needs: team collaboration vs. personal productivity.
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