Specialized Teammates
5 minute read
Overview
Edge Delta’s AI Team includes out-of-the-box specialized teammates, each with deep expertise in specific domains. These teammates are ready to use immediately and integrate seamlessly with your Telemetry Pipelines and connected tools.
Each specialized teammate has a distinct skill set and access to domain-specific tools that enable them to perform their role effectively.
The Value of Pre-Built Expertise
Specialized teammates eliminate the prompt engineering burden that typically blocks AI adoption in operations. Each teammate ships with a production-ready system prompt that encodes operational best practices: which tools to invoke for specific scenarios, how to interpret findings, when to escalate, and how to communicate results. These prompts reflect accumulated knowledge from customer deployments and domain expertise in SRE, security, infrastructure management, and software development.
Crafting effective prompts requires understanding both the operational domain and the nuances of how foundation models interpret instructions. Small phrasing differences produce dramatically different behaviors. Each iteration consumes tokens and delays value realization. Organizations typically face weeks or months of experimentation before achieving reliable agent behavior—a tax that prevents many teams from realizing AI’s operational value.
By providing pre-tuned specialists, Edge Delta removes this barrier. Teams gain immediate productivity from teammates that already understand their domain, use tools correctly, and communicate findings appropriately. Organizations retain full customization capability when workflows mature, but start from a proven foundation rather than a blank prompt template.
Model Selection and Cost Efficiency
Specialized teammates ship with carefully selected foundation models that balance response quality against operational cost. Different models exhibit order-of-magnitude differences in token consumption for similar workloads: Claude Sonnet 3.5 may consume 10× the tokens of GPT-4o for equivalent tasks. These cost differences compound rapidly as usage scales across dozens of investigations daily.
Edge Delta assigns models based on the cognitive demands of each role:
- OnCall AI uses an advanced model (currently GPT-4o or Claude Sonnet) to handle complex orchestration decisions, context synthesis, and multi-step reasoning across specialist findings
- Specialized teammates use efficient models (currently GPT-4o or GPT-4o-mini) optimized for their specific domains, balancing capability against token efficiency for high-volume operations
Organizations can override these defaults when specific workflows justify different trade-offs, guided by consumption metrics showing the cost implications of model choices. The platform tracks token usage per teammate and per model, enabling data-driven optimization decisions.
OnCall AI
OnCall AI is the intelligent orchestrator at the heart of Edge Delta’s AI Team. It serves as your primary interface for interacting with the platform, routing requests to the most appropriate specialized teammates, coordinating multi-teammate workflows, and synthesizing responses into clear, actionable summaries. OnCall AI functions differently from other teammates in the AI Team. While specialized teammates have deep expertise in specific domains (observability, security, infrastructure, etc.), OnCall AI’s role is to:
- Serve as First Point of Contact: Act as the main interface for customers, prospects, and internal teams seeking information about Edge Delta’s observability and telemetry platform
- Intelligent Request Routing: Analyze incoming questions and route them to the most appropriate specialized teammate
- Coordinate Multi-Teammate Workflows: Manage complex requests requiring input from multiple teammates
- Synthesize and Summarize: Provide clear summaries of specialized teammate responses, making complex technical information accessible
- Provide Platform Guidance: Offer direct answers for general platform questions, feature explanations, and initial technical guidance
Specialized Teammate Comparison Matrix
This matrix shows recommended connector assignments for each specialized teammate to enable their core capabilities:
| Teammate | Primary Domain | Recommended Connectors |
|---|---|---|
| OnCall AI | Orchestration & routing | None (orchestrates other teammates) |
| Cloud Engineer | Infrastructure & cost | AWS, Azure, GCP |
| Code Analyzer | Code quality | GitHub |
| DevOps Engineer | Reliability & CI/CD | Kubernetes, GitHub, Jenkins, CircleCI |
| Issue Coordinator | Workflow sync | GitHub, Jira, Linear |
| Security Engineer | Security posture | GitHub, AWS, Jira, CrowdStrike FDR |
| SRE | Incident response | Edge Delta MCP, PagerDuty, Kubernetes |
How to Access Specialized Teammates
Through OnCall AI
- Chat with OnCall AI
- Ask your question—OnCall AI will route to the appropriate specialized teammate
- Receive orchestrated, summarized responses
In Channels
- Create or open a channel
- Add specialized teammates to the channel via Channel Settings
- Post questions in the channel—relevant specialized teammates will respond
Direct Message
- Navigate to the Chat tab
- Find the teammate in the Direct Messages section
- Click the teammate’s name
- Start a conversation
Configure Specialized Teammates
While specialized teammates come pre-configured with sensible defaults, you can customize their behavior to match your team’s workflows:
- Navigate to the Teammates tab in AI Team
- Click the kebab icon (⋮) on the specialized teammate tile you want to customize (e.g., SRE, Security Engineer)

- Select Configure
- Modify the configuration as needed
- System Prompt: Refine the teammate’s behavior, priorities, and communication style
- Model Selection: Choose between GPT-4o, GPT-4o-mini, or Claude variants based on response quality needs
- Periodic Tasks: Schedule automated checks or reports the teammate should perform
- Connectors: Add or remove connectors to control what data sources the teammate can access

- Click Save to apply changes
Note: Changes to specialized teammates affect all users in your organization. Consider the broader impact before modifying default behaviors.
Next Steps
- Learn how to create custom teammates with specialized roles
- Explore connectors to enable specialized teammate capabilities
- Understand channels for multi-teammate workflows
For additional help with specialized teammates, visit AI Team Support.