STROKIX is an AI operating system for business operations. It connects company systems, answers questions across business data, and helps teams turn approved decisions into action.

Who is STROKIX built for?

STROKIX is built for founders, operators, revenue teams, customer-success teams, and admin teams that work across CRM, Slack, billing, support, documents, and databases.

How is STROKIX different from a chatbot?

STROKIX is designed as an operating layer across company systems, not just a chat interface. It grounds answers in connected business data and keeps risky actions behind human approval.

Can STROKIX take actions in business tools?

STROKIX is designed to support read and write workflows. Risky writes pause for human approval and important actions are recorded in an audit history.

Does STROKIX use Weaviate?

The current production retrieval path uses Supabase/Postgres pgvector. Weaviate is optional paid or legacy infrastructure and is not required for the current production setup.

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Connectors

Use AI to manage GitHub issues, PRs, and repos without leaving your workflow

Engineering teams live in GitHub. But understanding what is happening across repos, issues, and pull requests still requires clicking through dozens of pages. STROKIX gives you instant answers about your codebase activity.

4 min read

What you can query

Ask about any repository you have access to. 'Show me open PRs on the main repo.' 'What issues were filed this week.' 'Who committed to the feature branch yesterday.' STROKIX queries the GitHub API in real time.

All results come from live data. Nothing is cached or stale.

File issues and comment with approval

When you ask STROKIX to file a bug or comment on a PR, it shows you exactly what it will do and waits for your approval. You see the title, description, and target repo before anything is created.

This means non-technical team members can file structured GitHub issues without needing to know how GitHub works. They describe the problem, STROKIX structures it correctly.

Combine with other tools

The best use case is cross-referencing. 'File a GitHub issue for the bug that customer X reported in Intercom, then post the link in Slack.' One sentence, three tools, all handled.

Or use it for incident response: 'Create a GitHub issue for this outage, update Linear with the blocker, and post status in the engineering channel.' Multiple actions, one approval.