🦃 Happy Thanksgiving! We’re grateful for your support and excited to share a few new updates that just landed 🚀
🆕 Message Insights
We’ve added a new way to understand what users are actually asking your AI agents — without digging through raw message logs.
🔍 Grouped User Questions
Instead of showing every message individually, we now automatically group similar user questions to highlight common themes. This helps you quickly spot patterns such as frequent requests, confusing areas, or recurring problems.
🧩 Improve Agents with Context
Inside each grouped topic, you can add additional context or instructions to help your AI agents respond more accurately. This makes it easier to iterate on agent quality and improve resolution rates.
📍 Where to Find It
Go to your Agent page → Messages tab (available in the new editor). You’ll find:
Common topics
Unresolved user questions
Clustered messages for easier review
🔐 Privacy Controls
This feature is only available if your organization admin has enabled Message Insights, ensuring user privacy is respected.
🛠️ Better Trigger Debugging
You can now view status, messages, and execution logs for each Trigger — and even replay past events to test them more easily. Debugging made simple!
Pricing Update
From Messages to Credits
We're moving from message-based to credit-based billing because not all AI interactions are equal. A simple knowledge base Q&A consumes far fewer resources than a complex workflow with multiple tool integrations (MCP) and document processing.
With credits, simple Q&A costs fewer credits while complex workflows cost more, reflecting actual computational cost. If you primarily use knowledge base queries, you'll handle significantly more interactions for the same price.
Introducing Pay-as-You-Go
Previously, hitting your plan's limit meant upgrading or stopping until the next cycle. Now with pay-as-you-go, set your own overage limits and automatically purchase additional credits when needed—no service interruptions, no forced upgrades for temporary usage spikes.
Flexible Agent Limits
Previously, if you needed one more agent beyond your plan's limit, you had to upgrade your entire plan. Each plan still includes a base number of agents, but now you can create additional agents with pay-as-you-go—paying only for what you use without upgrading your entire plan.
Why We Made These Changes
Your feedback was clear: message-based pricing didn't match how you wanted to use Runbear. Sophisticated workflows felt constrained by limits that didn't reflect their value, while simple Q&A users wanted more queries without constant limit concerns. Rigid plan tiers forced unnecessary upgrades for small increases in usage.
🚀 Event Triggers, New Agent Creation With Context, and More
Event Trigger (Beta)
Runbear is now available everywhere! 🎉 We’re excited to introduce Event Triggers, a powerful new way to run your AI agents automatically in response to events.
Think of it as giving your agents superpowers—able to take action automatically:
Auto-reply to emails in real time.
Link new Zendesk tickets to the right Linear issues.
Send meeting summaries to participants right after Zoom calls.
This is just the beginning. Unlock your imagination and let AI handle the repetitive work, so your team can focus on what matters most.
⚡ Beta availability: We’re rolling this out gradually during the beta period. Stay tuned as access expands!
New Agent Form (with Agent Context)
Now you can create agents by simply choosing your tools—no prompts or complicated setup required. Once created, you can continue to teach your agents with Agent Contexts. (Or you can teach them directly in Slack, e.g., “@Agent, remember that you can find revenue from here: https//docs.google.com/...”)
Prefer more control? No worries! You can always switch back to the classic editor for full customization.
Enjoy a smoother, faster way to bring your AI agents to life, without the hassle.
Other changes
Official MCP Integrations: we’ve added official support for Notion and Hubspot MCP. This brings smoother usability and an overall better experience.
Integration Guidance: Runbear can now recommend which integrations you’ll need when your request depends on tools that aren’t yet connected, making it easier to get set up without guesswork.
🚀 Better Smart Replies, Web Search Update, More Reliable Knowledge Base
Better Smart Reply
Smart Reply just got smarter! 🎉 Runbear AI Agents now proactively offer relevant information when they find it—no extra searching needed. This way, your teammates get answers faster, without interruptions.
Other changes
🌐 OpenAI Web Search Update: We’ve upgraded from Bing Search to Serper API, ensuring continued support after Bing’s retirement (Aug 11, 2025). Serper provides Google-powered, AI-optimized results for more accurate and reliable answers.
📂 Knowledge Base Improvements: Easier, faster, and more reliable
GPT-5, OpenAI MCP Support, Smarter Task Analysis, and More 🎉
🧠 GPT-5 Is Here Now at Runbear
Runbear now supports GPT-5 — OpenAI’s most advanced model yet, combining faster, smarter responses with built-in thinking for complex reasoning. Power your Runbear Agents with GPT-5! 👉 Learn more about GPT-5 in our deep dive and see its performance in our benchmark post.
🚀 Runbear OpenAI Agent Now Available via MCP
Your Runbear OpenAI Agent now supports MCP (Model Context Protocol), enabling seamless connections to external tools and data sources. — making your OpenAI-powered Agent smarter.
🔍 Smarter Task Analysis — From Slack Conversations to Ready-to-Use Agents
Task Analysis has been upgraded to be smarter and more actionable.
It now goes beyond detecting repetitive work — analyzing the context from your Slack conversations to understand your tasks and offer ready-to-use Agents.
Other changes
Trigger Agents in Zendesk with Specified Keywords: Call an Agent by typing a preset trigger word in an internal comment
Smart Reply Prompt: Include sample questions as prompts so Smart Reply is triggered more accurately when users want it
Custom MCP with Bearer Authentication: Now you can securely connect to MCP servers that use Bearer token authentication, enabling safe integration with token-based MCP servers.
You can now ask your own AI agent directly inside Zendesk and get instant answers without switching tools. From pricing policies to onboarding steps, resolve questions fast and send helpful replies to customers right away. ⚙️ Make sure to enable Trigger by internal comment in the Trigger tab to activate this feature.
✨Other changes
📈 Per-Assistant Analytics Now Available: You can now view analytics by assistant in the Analytics tab on the agent edit page.
New in Runbear: SharePoint Sync, Scheduled Jobs, and Task Analysis (Beta)
🗂️ SharePoint Integration Is Live
You can now sync documents from SharePoint — like internal docs and team knowledge — so your agent stays aligned with what your team knows.
 🕒 Schedule Recurring Tasks in Slack
One of our most-requested features is now live: Scheduled Jobs.
You can now schedule recurring tasks directly from Slack — like check-ins, reports, or summaries — and let your agent handle them on time, every time.
Available now for Slack with Anthropic-powered agents.
Task Analysis Is Now in Beta
We’re launching Task Analysis — a smarter way to find work your agent can take off your plate.
It reviews Slack channels to uncover repetitive tasks and suggests agents to automate them — even the ones you didn’t know could be automated.
You’ll find it under Home > Task Analysis.
Note: Available on the Team plan and above. Slack only for now.
✨ Other Changes
Smarter agent creation: Just describe your agent’s goal — Runbear will generate a goal-optimized system prompt for you. You can further refine it with the ✨ magic wand button.
Improved tool execution flow: We’ve enhanced how agents call integrated tools, making task execution faster and more reliable across connected services.
Website Sync, Claude Web Search, and More!
🌐 Website Sync Has LandedOne of the most requested features is finally here!
You can now sync your website — including docs, blogs, and FAQs — directly to your agent’s knowledge base. It just works, and your agent instantly becomes more helpful.
We’re launching this in beta, and we’re excited to see what you’ll build with it.
🌎 Claude Agents can now Search the Web
Claude-powered agents can now search the web in real time — no setup needed.
That means they can pull the latest information straight from the internet whenever it’s relevant, and respond with even more accurate, up-to-date answers. This is now on by default.
Improved Reasoning, Tool Access Control, and Smarter MCP Integrations
Empower Connected MCP Tools
We’ve made the MCP tools smarter! They can now better understand which tool and settings you need—whether you’re adding blocks to a Notion page or creating and assigning Jira tickets.
Smarter Planning with Extended Thinking
Claude-based Agents are now better at handling complex tasks by thinking through the steps before taking action. This makes responses more accurate and reliable—especially for workflows that involve multiple decisions or tools.
Improved Reasoning Visibility
We’ve updated the response format for Claude-based Agents to make the reasoning process more transparent and easier to follow. Now, step-by-step thoughts remain visible throughout the response generation, giving users a clearer view of the full context.
Granular Tool Control for MCP Integrations
You can now selectively enable or disable tools within each MCP server. With this update, you can confidently empower AI agents to use only the tools you select, giving you more flexibility and control!
Private Beta: AI Continuous Learning with User Feedback
We’re excited to introduce a new continuous learning feature in private beta! The AI will automatically incorporate your feedback and adjust its system instructions in real time.
We’re rolling out this capability gradually to a select group of users. If you’d like early access to try it out, just reply to this email—we’d love to include you!
Smarter Replies in Teams DMs, and More!
More Natural Conversations in Microsoft Teams DMs
Agents can now understand and respond based on previous messages in 1:1 chats on Microsoft Teams. Previously, context was only maintained in threaded channel messages — DMs were limited to one-off replies. This update brings more fluid, helpful conversations in direct messages too.
Performance & Stability Improvements
Faster Assistant Editor with Large File Sets
The Assistant edit page now loads quickly, even when syncing thousands of documents. No more sluggish load times.
Improved Reliability in Model Context Protocol (MCP)
We’ve fixed several issues where certain tools weren’t executing properly, and added a loading indicator so you can now see which tool your agent is currently using. That said, some tools may still run into problems when given the wrong input format. We’re aware of this and are actively working on a fix — it’s a top priority and should be resolved soon.
Slack AI App Improvements
Fixed a bug where agents didn’t respond correctly when “Reply as a new message” was enabled.
Reminder: If you haven’t already, you can reconnect your custom Slack bot to the Slack AI App to place the agent in Slack’s top-right corner for quick access. Check your setup at Settings → Integrations → Slack
