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Workflow Template Library: Ready-to-Use AI Automations

Collection of production-ready workflow templates you can import and customize for common AI automation use cases.

What you’ll get: 10+ tested workflows for various platforms (n8n, Zapier, Make.com) ready to import and use.

Use cases: CRM automation, content moderation, data enrichment, lead scoring, customer support.

Time: 5-10 minutes per template

Platform: n8n or Zapier

Use case: Automatically score leads based on profile data

Flow:

Webhook/CRM Trigger → OpenAI Analysis → Score Calculation → CRM Update → Slack Notify

Setup:

  1. Import JSON template
  2. Add your OpenAI API key
  3. Connect your CRM
  4. Configure scoring criteria

OpenAI Prompt:

Score this lead 0-100 based on:
Company: {{company}}
Industry: {{industry}}
Size: {{company_size}}
Role: {{job_title}}
Engagement: {{email_opens}}, {{link_clicks}}
Scoring criteria:
- Industry fit (0-30): Tech/SaaS higher
- Company size (0-25): 50-500 employees ideal
- Role (0-25): Director+ higher
- Engagement (0-20): High engagement higher
Return JSON:
{
"score": 0-100,
"category": "hot|warm|cold",
"reasoning": "brief explanation",
"next_action": "suggested next step"
}

Export: Download n8n JSON | Download Zapier Template

Platform: Make.com or n8n

Use case: Automatically moderate user-generated content

Flow:

New Content → OpenAI Toxicity Check → Filter → If Toxic: Flag + Notify | If Clean: Approve + Publish

OpenAI Prompt:

Analyze this content for:
1. Toxicity/harassment
2. Spam/promotional
3. Off-topic
4. Quality issues
Content: {{user_content}}
Return JSON:
{
"toxic": boolean,
"spam": boolean,
"off_topic": boolean,
"low_quality": boolean,
"confidence": 0.0-1.0,
"action": "approve|review|reject"
}

Customization: Adjust toxicity threshold, add custom rules, integrate with your platform

Platform: Zapier

Use case: Generate personalized email content based on user data

Flow:

Schedule → Get Subscriber List → For Each: OpenAI Personalize → Email Service Send

OpenAI Prompt:

Personalize this newsletter for:
User: {{name}}
Interests: {{interests}}
Past engagement: {{topics_clicked}}
Industry: {{industry}}
Newsletter template:
{{base_newsletter}}
Instructions:
- Adjust intro to mention relevant interest
- Highlight most relevant section
- Add personalized call-to-action
- Keep same structure and length

Platform: n8n

Use case: Classify and route support tickets

Flow:

New Ticket → OpenAI Classify → Route by Category → Assign to Team → Set Priority

Categories: Technical, Billing, Feature Request, Bug Report, General

OpenAI Prompt:

Classify this support ticket:
Subject: {{subject}}
Message: {{message}}
Customer tier: {{tier}}
Classify into:
- technical: Technical issues
- billing: Payment/subscription
- feature: Feature requests
- bug: Bug reports
- general: General questions
Also determine:
- Urgency: high|medium|low
- Sentiment: positive|negative|neutral
Return JSON with category, urgency, sentiment, suggested_response_time

Template 5: Social Media Response Generator

Section titled “Template 5: Social Media Response Generator”

Platform: Make.com

Use case: Generate contextual responses to social mentions

Flow:

New Mention → Fetch Context → OpenAI Generate Response → Review Queue → Post

OpenAI Prompt:

Generate response to this social media mention:
Mention: {{mention_text}}
User: {{username}}
Platform: {{platform}}
Our brand voice: Professional, helpful, friendly
Context:
- Previous interactions: {{history}}
- Mention type: {{type}} (question/complaint/praise)
Generate appropriate response that:
- Matches our voice
- Addresses their point
- Includes call-to-action if appropriate
- Under 280 characters for Twitter

Platform: n8n

Use case: Enrich contact records with AI-generated insights

Flow:

New Contact → LinkedIn Lookup → OpenAI Analysis → Calculate Fit Score → Update CRM

OpenAI Prompt:

Analyze this profile and provide insights:
Profile data:
- Company: {{company}}
- Role: {{title}}
- Industry: {{industry}}
- Description: {{bio}}
Provide:
1. Seniority level (junior/mid/senior/executive)
2. Decision-making authority (low/medium/high)
3. Likely pain points (list 3)
4. Best approach (email/call/social)
5. Fit score for our product (0-100)
Return structured JSON

Platform: Zapier

Use case: Auto-generate meeting summaries and action items

Flow:

Calendar Event Ends → Fetch Recording/Transcript → OpenAI Summarize → Send Email → Update CRM

OpenAI Prompt:

Summarize this meeting:
Transcript: {{transcript}}
Attendees: {{attendees}}
Duration: {{duration}}
Create:
1. Executive summary (3 sentences)
2. Key decisions made
3. Action items with owners
4. Follow-up needed
5. Next meeting date/topic
Format as professional meeting notes

Platform: Make.com

Use case: Aggregate and analyze product reviews

Flow:

Schedule → Fetch Reviews → For Each: OpenAI Analyze → Aggregate → Generate Report → Email Team

OpenAI Prompt:

Analyze this product review:
Review: {{review_text}}
Rating: {{stars}}
Extract:
- Sentiment: positive/negative/neutral
- Key themes: list top 3
- Feature mentions: specific features mentioned
- Issue type: bug/feature/usability/performance
- Actionable: boolean (requires follow-up?)
Return structured data

Platform: n8n

Use case: Generate content ideas and schedule

Flow:

Schedule Weekly → OpenAI Generate Ideas → Review Filter → Add to Calendar → Notify Team

OpenAI Prompt:

Generate 5 content ideas for next week:
Industry: {{industry}}
Target audience: {{audience}}
Recent trends: {{trends}}
Past top performers: {{top_content}}
For each idea provide:
- Title
- Brief description
- Target keyword
- Format (blog/video/infographic)
- Est. engagement potential (high/medium/low)
Return as JSON array

Platform: Make.com

Use case: Extract data from invoice PDFs/images

Flow:

New Email with Attachment → Download PDF → OpenAI Extract Data → Validate → Add to Spreadsheet

OpenAI Prompt (with Vision):

Extract invoice data from this image:
[Invoice image]
Extract:
- Invoice number
- Date
- Vendor name
- Total amount
- Currency
- Line items (description, quantity, price)
- Payment terms
Return as structured JSON

Select template matching your use case

n8n: Import JSON via workflow settings Zapier: Use template URL Make.com: Import blueprint

  1. Add API keys (OpenAI, services)
  2. Connect your tools
  3. Customize prompts
  4. Set schedule/triggers

Run with sample data before production

Activate and monitor

Modify AI prompts for your:

  • Brand voice
  • Industry terminology
  • Specific requirements
  • Language/locale

Enhance with:

  • Additional filters
  • Conditional branches
  • Error handling
  • Notifications

For production:

  • Add monitoring
  • Implement error alerts
  • Set up logging
  • Configure rate limits
  • Review AI outputs weekly
  • Adjust prompts based on results
  • Update filters and rules
  • Test with new scenarios
  • Export updated versions
  • Document changes
  • Keep changelog
  • Share improvements

Share your templates:

  • GitHub repository
  • Community forums
  • Template marketplaces

Start with:

  1. Pick simplest template for your need
  2. Test in sandbox environment
  3. Gradually customize
  4. Roll out to production

Learn more:


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