Agents
Agents let you create reusable AI helpers with a defined purpose and model. Each one runs with your rules, specific tools, integrations and knowledge.
To create a custom agent, head to the navigation tab Agents → click Create agent. You can also see this video walk-through with an example use case.
Execution
Choose how to trigger your agent. Currently, we support prompt-based triggers, which let you chat with the agent or run now.
What does “Run Now” mean? Use it when the agent can follow instructions immediately. Example: A Sprint Architect agent that checks JIRA and summarizes sprint health can run now automatically.
Model
Choose the model your agent will use to process prompts. You can change it at any time. Model fallback behavior follows your organization’s settings (i.e., if one model fails, another will be used).
💡Pro tip: if you want to get the best outcomes from agents, use the models our AI engineers recommend. You can access the recommended models from the model picker in the agent creation form.
Creativity
AI models generate text by predicting the next word based on probabilities. You can control how strictly the model follows your context and how much it draws on outside knowledge, which affects the novelty and length of the output.
Grounded: strictly context, concise and safe; Guided: mostly context with selective knowledge; Balanced: mix of context and outside knowledge; Analytical: context-focused, uncovers patterns; Creative: freely explores new ideas.
Instructions
Describe how your assistant should follow prompts, generate responses, and maintain tone. You can enter up to 32,000 characters to set style, rules, and behavior. Note, that longer instructions tend to generate longer response.
💡Pro tip: LLMs understand Markdown — use headings, lists, and formatting to clearly communicate your instructions.
Capabilities
If needed, enable web search to include real-time results from the internet. Enrich your agent with knowledge base - add files from an existing Project, like brand guidelines, tone of voice, or reference documents to give your assistant extra context. This lets it provide sourced answers using your own materials. Knowledge can be updated or removed anytime.
Integrations
Empower your agent with integrations and allow connect to popular platforms like Microsoft 365, SharePoint, Jira, Confluence, Slack and many more. Your agent can fetch information, view files, and read messages. These integrations let your agent provide context-aware answers and insights from your connected systems. Note: if you want to use integrations, select a model that supports them.
Once saved, you can start chatting with your agent right away. It will appear in the agents list under the Agents menu, and you can access all your agents via the Chat model dropdown.
Sharing
You can share Agents with your team or users.
View access – others can use the Agents but can’t change it
Edit access – collaborators can update settings, prompts, and sources
This makes it easier to collaborate, standardize workflows, and keep everyone aligned.
Video walk-through
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