Integration
Automate with DeepSeek
DeepSeek's reasoning models handle tasks that demand deep thinking — code review, multi-step logic, and complex data analysis. NVS puts them to work inside your automation workflows where precision matters most.
Use Cases
Every pull request gets an automated code review from DeepSeek — checking for logic errors, security issues, and style violations before a human reviewer even looks at it.
Trigger
PR Opened
github.trigger
A pull request is opened or marked ready for review on the main repository.
Fetch Diff
github.diff
Git diff for all changed files fetched via GitHub API with surrounding context.
Analyze with DeepSeek
deepseek.reasoner
DeepSeek R1 reasons through the diff for bugs, edge cases, and security issues.
Output
Post PR Comment
github.comment
Review posted as a PR comment with specific file references and actionable feedback.
Technical support tickets that stump first-line triage are escalated to DeepSeek, which reasons through the problem step by step and drafts a technically accurate resolution.
Trigger
Escalated Ticket
zendesk.trigger
Ticket is tagged "escalated" after first-line AI triage fails to resolve it.
Fetch Full Context
zendesk.ticket
Full conversation thread, product version, and user account details fetched.
Reason through Issue
deepseek.reasoner
DeepSeek reasons through the problem using chain-of-thought, producing a diagnosis.
Draft Resolution
deepseek.chat
Customer-facing resolution drafted in plain language from the technical diagnosis.
Output
Add Internal Note
zendesk.note
Resolution draft added as internal note for agent review before sending to customer.
Weekly financial exports are analyzed by DeepSeek for anomalies — unusual spending patterns, budget overruns, or reconciliation gaps — and flagged to the finance team before month-end close.
Trigger
Friday 5pm
nvs.schedule
Weekly schedule fires to analyze the week's financial data before weekend close.
Export Transactions
quickbooks.report
Weekly transaction register exported from QuickBooks with all line items and categories.
Analyze with DeepSeek
deepseek.reasoner
DeepSeek reasons through the data, identifying anomalies and comparing vs prior weeks.
Output
Alert Finance Team
slack.message
Slack summary of flagged anomalies with specific line items and recommended actions.
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