Workflow directory
Everything we've built and everything we're building next. See one you need? Schedule it — we'll build it and have it live within 24 hours.
Coming soon
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Slack + Jira Workflow
Users post messages or slash commands in Slack; an parses the message content to extract issue details and automatically classify priority, component, and labels. The structured issue is then created in Jira without requiring the native Slack-Jira app. This eliminates manual ticket creation and classification overhead.
Datadog + Jira Workflow
When Datadog detects test failures, an extracts relevant debugging context and automatically creates pre-filled Jira tickets with deep links back to Datadog. The reasons about failure severity to assign appropriate priority and structure the ticket for developer action.
GitHub Actions + Datadog Workflow
GitHub Actions deployment events are automatically sent to Datadog for real-time monitoring and alerting. Deployment status, duration, and associated metrics flow from CI/CD to observability platform.
GitHub + Jira Workflow
GitHub issues are automatically converted to Jira tickets through -driven analysis that extracts key information, maps labels to Jira fields, and determines appropriate project/component assignment. The workflow maintains bidirectional links for cross-tool visibility.
Slack + Cursor + GitHub Workflow
A Slack message triggers Cursor's Background Agent to analyze the bug report, generate a proposed fix, and automatically open a pull request on GitHub. The reasoning step extracts structured bug information from unstructured Slack text, generates appropriate fix code, and drafts the PR with context for team review.
Manual CSV cleaning and BI tool ingestion
Teams manually export CSVs, clean inconsistent data, and feed them into BI tools. This repetitive process creates bottlenecks and forces teams to maintain spreadsheets as a source of truth rather than having a single, automated metrics pipeline.
Invoice data extraction from PDF documents
Finance and operations teams manually type vendor names, amounts, dates, and line items from PDF invoices into systems. This is error-prone, time-consuming, and creates data entry bottlenecks.
Multi-stage deployment coordination across teams
Setting up microservices, running regression suites, provisioning infrastructure, and coordinating staged production deployments are multi-stage processes spanning hours or days, involving multiple teams, with manual handoffs and decision points between steps.