
How to Build an AI Marketing Operating System
Replace manual coordination with one recurring, evidence-backed, human-approved marketing loop.
Articles about Runbear and the world of AI.

Replace manual coordination with one recurring, evidence-backed, human-approved marketing loop.

Eight products now put an AI agent inside team chat. Two structural choices separate them, and a third question, who the agent acts as, splits the field in half.

See how 11 Customer Success challenges break the path from customer signal to verified outcome, and where current CS tools still leave coordination work.

Dust and Runbear both connect AI agents to workplace tools. The choice that changes your implementation is whether your first problem is governing AI inside the company or deploying an agent into a customer-facing channel.

Build and improve a Runbear agent from Claude Code, then keep the approved teammate connected to apps, triggers, Slack permissions, and run history for the whole team.

Two MCP servers for Claude Code. Viktor MCP calls a teammate that already exists; Runbear MCP is for when you have not worked out what the teammate should do yet.

One teammate's local CS skills became a shared Runbear Agent, then started running on events and schedules while Slack kept the consequential decision.

Built a Claude Code agent locally? Deploy it to Slack with Runbear so it runs 24/7 for your whole team, with its own bot and per-user permissions.

How a Slack-native AI teammate turns CRM, product, support, and conversation signals into a reviewable next action for CSMs.

The expensive part of support is the last mile: known fixes stuck behind internal tools and trusted access. See how Runbear turns those fixes into Slack teammate workflows that can propose, auto-resolve, and show their work.

Coordinated AI credit farming and fake business identities turned our free trial into a $1,000 weekend lesson. The fix is not making trials painful, but building an operator workflow that can verify signals, escalate edge cases, block clear abuse, and leave an audit trail.

Claude Tag use cases, pros and cons, and when teams need several named agents, each with its own knowledge and tool access.