Unleash AI together.

The AI-native Slack.

Connect your data, agents, and tools. Add your team, and start interacting. PromptQL captures shared context as your team works, enabling it to operate like a trusted teammate you rely on.

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Trusted at scale by

Trusted at scale by

Build together.

Connect to any remote computer or coding agent. Your whole team is in the same thread. Someone reports a bug, PromptQL already knows the product context, Codex investigates and ships the fix. Everyone sees what happened.

CodexClaude CodeCustom agents+ more

⚡

# product-engineering

TanmaiEng

📎 screenshot-ios-wiki-bug.png

Mobile wiki view is broken. Button not responding sometimes? @PromptQL delegate to Codex, find root cause and open a PR.

PromptQL

▸ Delegating to Codex

Passing screenshot and wiki context: v3-console repo, Next.js App Router, iOS Safari click handler gotchas...

RikinEng

Check if it's the same issue from last week. We had a z-index problem with the overlay

PromptQL

Good lead. Codex found it. WikiLearningOverlay z-index: 10, ActionButton z-index: 5. Button renders UNDER the overlay.

✓ Fix pushed. PR #3505 opened: z-index fix + test case

ManushiEng

Tested on staging, works. Merging. ✓

👥 4⏱️ Bug → PR → Merged in 14 min

Solve together.

Connect to any database or SaaS service. An alert fires, someone checks it, someone else connects it to a recent deploy. PromptQL pulls the metrics, correlates the data, and the whole team debugs together in one thread. No war room, no Zoom call.

incident.ioDatadogKubernetesSnowflake+ more

⚡

# platform-alerts

ShahidhPlatform

@PromptQL check the latest alert from incident.io. I see OOMKilled. Which pod, what data plane?

PromptQL

Critical alert: OOMKilled on 3 api-server pods.

Pod	Memory	Restarts	Last
api-server-7b4	3.8 GB	4	2:38 PM
api-server-2c9	3.6 GB	3	2:35 PM
api-server-1a3	3.7 GB	5	2:40 PM

TomaszPlatform

We deployed the new batch processor at 2:30. Could be related.

PromptQL

Checking. Batch processor memory grew 3x after deploy. Loading full dataset into memory instead of streaming.

Process	Pre	Post	Change
batch-worker	1.1 GB	3.4 GB	+209%
api-server	2.1 GB	3.7 GB	+76%

AravindPlatform

Rolling back batch processor. @PromptQL monitor recovery.

PromptQL

✓ Memory normalized. All pods stable.

👥 11⏱️ Alert → Root cause → Fixed in 11 min

Sell together.

Connect to Salesforce, Gmail, LinkedIn. All your personal and shared services. Shared context means no more DMs, no more "does anyone know anything about this account?" Everyone talks to PromptQL, adds what they know, and the output keeps getting better.

SalesforceLinkedInGmailGoogle Calendar+ more

⚡

# sales-team

JakobSales

Discovery call with Walmart in 2 hours. @PromptQL get me everything on Ra*** G*** and their data stack.

PromptQL

Here's your briefing:

Ra*** G***, Sr. Director, Customer Data & AI

Reports to: VP of Enterprise Data · 8 yrs at Walmart, prev. Target

Pain signal: "semantic layer maintenance" (LinkedIn)

Stack: Snowflake, dbt, Tableau

Company context

Data & analytics investment up 23% · New Chief AI Officer (Jan 2026) · Approached by Databricks last month

MichaelSales

@PromptQL check if we have notes from AWS re:Invent. I talked to Ra*** there, he said they spend 40% of data eng time on dashboards.

PromptQL

Found your re:Invent notes. Dashboard maintenance burden, Tableau licensing frustration. Added to briefing + pulled our ROI case study (Target saw 60% reduction).

AdamGTM

@PromptQL their CFO just changed. Ex-Amazon, obsessed with unit economics. Reframe around cost, not features.

PromptQL

Done. Reframed around cost/efficiency, added unit economics comparison.

📋 FINAL BRIEFING: walmart_discovery_brief.pdf

Jakob

Perfect. Walking in prepared.

👥 5🎯 Request → Team input → Brief: 19 min

BULLETPROOF SECURITY

All this works because we have bulletproof security.

Permissions and access control sophisticated enough for the Fortune 100. Complex controls, heterogeneous data, full auditability. But easy enough to keep up with the pace of change of an AI-native team.

Easy authorization

Simple, intuitive access controls. Inherit and enforce policies from existing systems like SSO and IAM.

AI-guided access

PromptQL suggests what access to grant based on roles and resource type. Easy onboarding for new users and sources.

Permission-aware execution

Every request evaluated in real time. Queries only return what the requester is allowed to see.

User and agent directory

Manage identities for humans and AI agents in one place. Consistent policies across all interactions.

Full auditability

Every action is logged, traceable, and explainable. See who accessed what, ensuring accountability and compliance.

Scalable governance

Extend access policies as you add new data sources, users, and AI agents. No rewriting rules or introducing risk.

SOC 2

HIPAA

GDPR

The vibe shift

Our team moved off Slack entirely.

We're not saying you should. But we did. And this is what it actually feels like.

“I am always in a flow state now”

I used to spend my day navigating tools and tabs. Grafana, Slack, AWS, Snowflake, GitHub, Linear—the list goes on. The work itself wasn't hard. The friction was the work between the work, and that friction constantly broke my flow state.

Shahidh K Muhammed

Director, Engineering

“I am more confident (and less overwhelmed)”

Whatever the task, my starting point is “New thread” in PromptQL. I’m not even exaggerating. PromptQL has fundamentally changed how I work.

Lili Riahi

Demand Generation Manager

“I don’t keep a TODO list anymore”

Not because there’s less to do. But because the unit of work isn’t a task waiting in line. It’s a thread already in motion. Before PromptQL, work was a queue. Notice something, add it to a list, file a ticket, wait, lose context, re-explain, wait again. Every step came with delay and drift.

Anushrut Gupta

Applied AI Lead

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