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.

Blog

Use cases

How engineering teams use STROKIX to ship faster without more meetings

Engineering managers have a dirty secret: half their day is spent gathering information, not making decisions. Sprint status lives in Linear. Code context lives in GitHub. Discussions happen in Slack. Incidents land in PagerDuty. Getting the full picture requires visiting all four.

5 min read

Sprint standup without the meeting

Ask STROKIX: 'What shipped yesterday and what is blocked today.' It checks Linear for completed and blocked issues, GitHub for merged PRs, and surfaces the answer. The meeting that used to take 15 minutes becomes a quick glance.

Some teams use this to replace daily standups entirely. Others use it to make standups shorter by coming in already informed.

Incident response across tools

When PagerDuty fires, the first ten minutes are usually spent figuring out what happened. STROKIX can check the alert, look at recent deploys in GitHub, find related Slack threads, and surface relevant Linear issues. One question, full context.

Then you can tell it to file the postmortem ticket, notify the team in Slack, and update the incident status. Three actions, one approval screen.

Technical debt tracking

Ask 'how many bugs were filed this quarter vs features shipped' and get real numbers from Linear or Jira. No manual counting, no exporting to a spreadsheet, no waiting for someone to put a report together.

Engineering leaders use these answers for roadmap conversations, headcount requests, and prioritization decisions. The data already exists in your tools. STROKIX just makes it accessible without the legwork.