Let's build together | PromptQL Maxxathon

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Platform

Core features and capabilities

Architecture

How and why it works

For financial services

Transform data workflow in FinServe

For healthcare

AI analysts for health data workflows

For retail

AI analysts for retail data workflows

Case Studies

Blog

Insights, updates & stories

Events

Talks, conferences & meetups

Guides

Guides & how-to recipes

Learn

Explore and Watch PromptQL Videos

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PromptQL Logo
PlatformCore features and capabilitiesArchitectureHow and why it works
For financial servicesTransform data workflow in FinServeFor healthcareAI analysts for health data workflowsFor retailAI analysts for retail data workflows
Case Studies
BlogInsights, updates & storiesEventsTalks, conferences & meetupsGuidesGuides & how-to recipesLearnExplore and Watch PromptQL Videos
PricingSecurity
Sign in
All guides
Basics
  • Ask a question
  • Turn it into an artifact
  • Run it on a schedule
  • Add an alert
  • Have it take action
  • Approve and collaborate
Use Cases
  • Prepare for a stand-up
  • Triage a new incident
  • Fix a customer-reported bug
All guides

Use Cases

Recipes for getting real outcomes done with PromptQL.

  1. Prepare for a stand-upOne prompt pulls Linear, GitHub, Slack, and Calendar into a single stand-up briefing.
  2. Triage a new incidentWhen the page fires, PromptQL writes the briefing — affected service, owner, on-call, deploys, runbook, and timeline.
  3. Fix a customer-reported bugOne conversation: ticket + account context + similar-ticket search, then a coding agent traces the bug and opens the PR.

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