Sevant logo

DDCL & Automation

One notation connects your systems—then generates the automation

One notation connects CRM, data platforms, AI providers, and APIs—so integration intent stays explicit and machine-usable. Then go from how systems should talk to an importable n8n or Logic Apps workflow, without hand-wiring every node.

Domain-Driven Context Language

A shared language for how systems relate

Format (7 parts)

domain.type.system.provider.protocol.context.action

Example

nova.agent.salesforce.claude.http.territory.analyzeperformance

domain

nova

type

agent

system

salesforce

provider

claude

protocol

http

context

territory

action

analyzeperformance

Parse and validate DDCL strings

Generate DDCL from natural language

Normalize 100+ system aliases (e.g. sf / sfdc → salesforce)

Protocol/system compatibility checks

Visual context relationship graphs

Feedback loops that improve corrections and validation over time

Workflow Automation Generation

From DDCL context to runnable automation

n8n

  • Full multi-node workflows from DDCL
  • Complexity tiers: simple → enterprise (roughly 6–30 nodes)
  • Agentic patterns: single-agent, multi-agent, hierarchical
  • Triggers: manual, schedule, webhook, email, chat, file upload
  • AI agent config (model, memory, tools, personality)
  • Import/export to n8n instances via API

Triggers

ManualScheduleWebhookEmailChatFile upload

Azure Logic Apps

  • Generate Logic Apps definitions
  • AI-assisted validation and repair

Agentic patterns (n8n)

Single-agentMulti-agentHierarchical

Continuous Improvement

Generated architecture gets sharper with use

Corrections and reviews feed the next design cycle.

DDCL corrections

Learn from fixes, few-shot style.

Validation rules

Dynamic, runtime-togglable rules.

Document edit tracking

Measure how much humans change generated docs.

AI review

Structured review signals for generation quality.

Bring your API estate into the same picture

Ingest your API catalog, cluster related services, and project them into DDCL contexts for architecture and automation.