Architecture Library

How systems are structured.

Every architecture pattern below is something we design, document and deploy. We choose the pattern that matches the business process, not the trend.

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Event Driven Systems

Components communicate by producing and reacting to events instead of direct calls.

Producer EventBus Consumer Consumer

Components

  • Event producers and consumers
  • Message broker or event bus
  • Schema registry and dead-letter handling

When we use it: For loosely coupled services, real-time workflows, and systems that must keep running when one part is down.

🧭

AI Routing

Incoming requests are classified and sent to the right model, agent, or human.

Input Router(AI) Model A Model B

Components

  • Intent classifier (rule or LLM based)
  • Model registry and fallback logic
  • Human escalation path

When we use it: When one AI cannot do everything well, and requests need specialization or safety checks.

🕸️

Multi-Agent Architecture

Several agents collaborate through a shared memory and coordination layer.

Memory Agent 1 Agent 2 Agent 3

Components

  • Specialized agents with defined roles
  • Shared state or memory store
  • Orchestrator or consensus mechanism

When we use it: For complex projects that require research, writing, review, and execution by different specialists.

🏭

Business Pipelines

Work moves through a fixed sequence of stages with defined handoffs.

Intake
→
Process
→
Review
→
Deliver

Components

  • Stage definitions and ownership
  • Queue or work-management layer
  • Stage-transition rules and notifications

When we use it: For repeatable business processes like onboarding, order fulfillment, and service delivery.

🎯

Lead Pipelines

Captures unknown visitors and turns them into qualified opportunities.

Visitor
→
Capture
→
Qualify
→
Opportunity

Components

  • Landing pages and lead magnets
  • Forms, chat, or outreach capture
  • Scoring and routing rules

When we use it: When a business needs predictable lead flow from inbound and outbound sources.

🗂️

CRM Flows

Defines the lifecycle of a contact from first touch through long-term relationship.

Lead Contact Client

Components

  • Contact and company records
  • Lifecycle stages and tags
  • Activity timeline and automations

When we use it: For any business that needs to track relationships, history, and follow-ups over time.

🗺️

Automation Maps

Visual models of triggers, conditions, and actions across tools.

Trigger If Action A Action B

Components

  • Trigger sources (forms, events, schedules)
  • Condition evaluator
  • Action executor and logger

When we use it: When multiple tools must react automatically to a single business event.

🕸️

Knowledge Graphs

Connects facts, entities, and relationships so systems can reason across them.

Entity Entity Entity Rel Rel

Components

  • Entity and relationship schema
  • Graph database or triple store
  • Query and inference layer

When we use it: When the business domain has many connected entities and relationships matter as much as the data itself.

💾

Vector Memory

Stores information as embeddings so AI can retrieve relevant context by meaning.

Documents Embed+ Store Retrieve

Components

  • Embedding model
  • Vector database
  • Chunking and retrieval strategy

When we use it: For AI assistants, search, and long-context applications where semantic relevance matters.

📊

Dashboard Architecture

Separates data ingestion, transformation, and presentation layers for clarity.

Sources ModelLayer Widgets

Components

  • Data connectors and ETL
  • Metrics model and aggregations
  • Visualization and filter UI

When we use it: When operators need a clear, real-time view of business performance without manual reporting.

🚀

Deployment Architecture

Defines how code moves from development to production safely and repeatedly.

Code
→
Build
→
Test
→
Deploy

Components

  • Source control and CI/CD pipeline
  • Staging and production environments
  • Rollback and monitoring hooks

When we use it: For every production system so updates are low-risk and repeatable.

🛡️

Security Layers

Protects systems through authentication, authorization, encryption, and monitoring.

Monitoring & Audit
Access Control
Encryption
Authentication
Network & Edge

Components

  • Identity provider and MFA
  • Role-based permissions
  • TLS, encryption at rest, audit logs

When we use it: Always. Security is layered into every system we design, not added as an afterthought.

✍️

Content Pipelines

Moves content from idea through production to distribution across channels.

Ideate
→
Draft
→
Edit
→
Publish

Components

  • Editorial calendar and briefs
  • Drafting and review workflow
  • Multi-channel distribution rules

When we use it: For businesses that publish regularly and need quality, consistency, and scheduling.

Pick the right pattern for the right problem.

We do not force one architecture on every project. We match the pattern to your workflow, then build it to last.