Use Cases & Examples
Discover what you can build with Klyntos through practical, real-world examples. Each use case includes implementation guidance and best practices.
🤖 AI Assistants & Agents
Customer Support Agent
Build an intelligent support agent that handles common inquiries
What it does:
- Answers customer questions using your knowledge base
- Escalates complex issues to human agents
- Logs all interactions for quality assurance
- Provides 24/7 availability
Blocks you'll use: Agent, Knowledge, Condition, Response
Tools: Slack, Gmail, Knowledge Base
Time to build: ~30 minutes
Research Assistant
Automate market research and competitive analysis
What it does:
- Searches the web for relevant information
- Summarizes findings into structured reports
- Tracks competitors and industry trends
- Generates actionable insights
Blocks you'll use: Agent, Loop, Function
Tools: Perplexity, Exa, Google Search, Google Sheets
Time to build: ~45 minutes
Content Creation Agent
Generate blog posts, social media content, and marketing copy
What it does:
- Creates content based on keywords or topics
- Maintains brand voice and style
- Generates multiple variations
- Optimizes for SEO
Blocks you'll use: Agent, Evaluator, Response
Tools: OpenAI, Anthropic, Google Sheets
Time to build: ~20 minutes
📊 Business Process Automation
Lead Qualification Pipeline
Automatically qualify and route sales leads
What it does:
- Enriches lead data from forms
- Scores leads based on criteria
- Routes to appropriate sales reps
- Updates CRM automatically
Blocks you'll use: Webhook, Router, API, Condition
Tools: Clay, LinkedIn, Salesforce, Slack
Time to build: ~60 minutes
Invoice Processing
Automate invoice data extraction and approval
What it does:
- Extracts data from invoice PDFs
- Validates against purchase orders
- Routes for approval workflow
- Updates accounting system
Blocks you'll use: Function, Condition, API
Tools: Vision, PostgreSQL, Gmail
Time to build: ~45 minutes
Report Generation
Generate automated reports from multiple data sources
What it does:
- Collects data from databases and APIs
- Analyzes trends and patterns
- Generates visualizations
- Distributes reports on schedule
Blocks you'll use: Schedule, Loop, Function, API
Tools: PostgreSQL, Google Sheets, Slack
Time to build: ~40 minutes
🔄 Data Integration & Sync
Multi-System Data Sync
Keep data synchronized across platforms
What it does:
- Monitors changes in source system
- Transforms data to match target format
- Syncs to destination systems
- Handles conflicts and errors
Blocks you'll use: Webhook, Function, Loop, Condition
Tools: PostgreSQL, Supabase, Airtable
Time to build: ~50 minutes
Document Processing Pipeline
Extract and process information from documents
What it does:
- Ingests documents from multiple sources
- Extracts structured data using AI
- Validates and enriches information
- Stores in searchable knowledge base
Blocks you'll use: Function, Agent, Loop
Tools: Vision, Knowledge Base, S3, OneDrive
Time to build: ~55 minutes
💬 Communication & Notifications
Slack Command Bot
Create custom Slack commands that trigger workflows
What it does:
- Responds to slash commands in Slack
- Performs actions based on user input
- Returns formatted responses
- Manages team workflows
Blocks you'll use: Webhook, Agent, Response
Tools: Slack, Knowledge Base
Time to build: ~25 minutes
Smart Email Automation
Intelligently process and respond to emails
What it does:
- Categorizes incoming emails
- Drafts contextual responses
- Routes to appropriate team members
- Tracks follow-ups
Blocks you'll use: Webhook, Agent, Router, Condition
Tools: Gmail, Knowledge Base, Slack
Time to build: ~40 minutes
🎯 Quick Start Templates
Can't find exactly what you need? Start with these foundational patterns:
Basic Patterns
- Simple AI Chat - Chat interface with AI responses
- API Gateway - Expose workflows as REST APIs
- Scheduled Task - Run workflows on a schedule
- Webhook Handler - Process webhook events
Intermediate Patterns
- Data Pipeline - ETL workflow with transformations
- Multi-Step Agent - Complex agent with tools
- Approval Workflow - Human-in-the-loop process
- Error Handling - Robust error management
Advanced Patterns
- Parallel Processing - Process multiple items concurrently
- Dynamic Routing - AI-powered decision trees
- State Management - Workflows with memory
- Event Sourcing - Track all state changes
🏗️ Building Your Own Use Case
1. Define Your Goal
What problem are you solving? Who benefits? What's the expected outcome?
2. Map the Flow
Break down the process into steps. Identify inputs, decisions, and outputs.
3. Choose Your Blocks
Select the right blocks for each step. Start simple, add complexity as needed.
4. Add Integrations
Connect to the tools and services your workflow needs.
5. Test & Iterate
Run your workflow with real data. Refine prompts, adjust logic, handle edge cases.
💡 Need Help?
- Join our Discord - Get help from the community
- Browse Examples - See more workflow examples
- Watch Tutorials - Video walkthroughs
Most workflows combine multiple patterns. Think about breaking your problem into smaller steps that match our templates, then connect them together.