Runbear Blog

If you're an operations professional drowning in Slack messages and email requests, you've probably heard about AI assistants that promise to help. Fyxer AI and Runbear both use AI to tackle inbox overload, but they're built for fundamentally different workflows. Here's the honest breakdown.

Your Ops team isn’t just answering “quick questions”—they’re paying an invisible Ops Tax that drags down your entire company. Learn how Inbox Intelligence from Runbear cuts request handling time by 5–7x by unifying channels, surfacing instant context, and automating actions directly from your inbox.

Speed matters in operations. Learn how faster request handling reduces costs, eliminates bottlenecks, and transforms team productivity.

What if software didn’t just respond to requests, but stayed involved as work unfolds? This guide breaks down what AI agents actually are, how they work over time, and how teams are beginning to use them in real workflows.

Discover how Peek.us stopped anwering the same question 20 times a day and empowered customer-facing teams by introducing Booker, their AI assistant built with Runbear.

GPT-5 is finally here. It's showing up strong across benchmarks — math, coding, reasoning, and even multimodal tasks.

Runbear vs ChatGPT

Explore our comparative look of Slack AI and Runbear Agents, exploring how each platform approaches AI agents, task automation, and integration into team workflows.

OpenAI has released GPT-5. Discover key features, model variants, benchmark insights, and how to use it inside your workflows.

Learn what RAG (Retrieval-Augmented Generation) is, how it works in Runbear, and what it can and cannot do for your AI agents.

Runbear vs Relevance AI

Runbear vs Crew AI