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Deductive AI’s conversational assistant is your intelligent interface for investigating incidents, understanding systems, and getting answers about your production environment.
Natural Language Interface
Ask questions in plain English, and Deductive will:
- Understand context from your connected integrations
- Reason across multiple data sources
- Provide evidence-backed answers
- Suggest next steps and actions
Capabilities
Incident Investigation
Ask questions like:
- “What caused the spike in error rates at 3pm?”
- “Show me all code changes related to the payment service in the last week”
- “What’s the root cause of the incident from last night?”
Deductive will:
- Parse your question to understand what you’re investigating
- Query relevant integrations (logs, metrics, code, etc.)
- Build a causal timeline
- Present evidence-backed conclusions
System Understanding
Get answers about your architecture:
- “How does the payment service interact with the database?”
- “What services depend on the authentication service?”
- “Show me the deployment history for the API gateway”
Proactive Insights
Deductive can also surface insights proactively:
- Cost optimization opportunities
- Performance bottlenecks
- Security concerns
- Reliability improvements
Conversation Flow
Evidence-Based Responses
Every answer includes:
- Source Citations - Links to logs, metrics, code, or tickets
- Timeline Context - When events occurred
- Confidence Levels - How certain Deductive is about the answer
- Alternative Theories - Other possible explanations
Multi-Turn Conversations
Deductive maintains context across the conversation:
- Initial Query: “What’s wrong with the payment service?”
- Follow-up: “Show me the code changes that might have caused it”
- Refinement: “Focus on changes in the last 24 hours”
- Action: “Create a PR to fix this issue”
Custom Instructions
Configure Deductive to follow your team’s preferences:
- Investigation methodologies
- Preferred tools and workflows
- Communication style
- Escalation procedures
Deductive can take actions on your behalf:
- Create Jira Tickets - Document incidents and findings
- Generate PRs - Propose fixes with code changes
- Update Runbooks - Capture learnings
- Send Notifications - Alert relevant teams
Next Steps