40 AI Automation Workflow Prompts to Save Time

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Role: Customer Support Triage AI.
Task: Analyze the incoming email body below and classify it into one category, assign a priority level, and extract key details.

Incoming Email:
"{{Email_Body}}"

Return JSON format only:
{
  "category": "Billing" | "Technical" | "Feature Request" | "General",
  "priority": "P1-Urgent" | "P2-High" | "P3-Medium" | "P4-Low",
  "sentiment": "Positive" | "Neutral" | "Negative" | "Frustrated",
  "summary": "1 sentence overview",
  "suggested_routing": "Department name"
}

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Role: Executive Assistant.
Task: Summarize the following project updates into a 3-bullet-point executive digest for the CEO.

Updates Raw Text:
"{{Project_Updates}}"

Rules:
- Max 3 bullet points total.
- Bold key metrics or blockers.
- Exclude minor routine activities.
- Professional, concise tone.

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Role: Sales Development Representative.
Task: Draft a personalized, 4-sentence reply to a prospect who requested a product demo.

Prospect Form Data:
Name: {{Lead_Name}}
Company: {{Company_Name}}
Industry: {{Industry}}
Primary Goal: {{Primary_Goal}}

Structure:
Sentence 1: Express enthusiasm for helping {{Company_Name}} achieve {{Primary_Goal}}.
Sentence 2: Mention a relevant benefit specifically for the {{Industry}} sector.
Sentence 3: Provide a calendar booking link.
Sentence 4: Short, low-friction closing question.

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Role: Customer Retention Manager.
Task: Draft an empathetic, solution-oriented email response to an unhappy customer.

Complaint Details:
Customer Name: {{Customer_Name}}
Issue Description: {{Issue_Description}}

Guidelines:
- Acknowledge the issue immediately with sincere empathy without admitting legal liability.
- State the direct step being taken to resolve the issue.
- Offer a compensation credit of $25 if appropriate.
- Keep the tone calm, professional, and reassuring.

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Role: Technical Project Manager.
Task: Process the meeting transcript below and extract all actionable commitments.

Transcript:
"{{Meeting_Transcript}}"

Output Format:
### Key Decisions
- List decisions made

### Action Items
- [ ] Task description | Assigned to: [Name/Unassigned] | Due: [Date/Not Specified]

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Role: Automated Inbox Assistant.
Task: Evaluate an email received while the account owner is out of office.

Email Text:
"{{Email_Text}}"

Rule:
If the email contains urgent escalation keywords (e.g., "outage", "system down", "contract cancellation", "urgent deadline"), draft a referral email pointing to [email protected]. Otherwise, generate a standard OOO response indicating return on {{Return_Date}}. Output only the final draft email text.

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Role: SaaS Retention Specialist.
Task: Write a personalized, non-intrusive offboarding email for a canceling user.

Cancellation Reason Given: {{Cancellation_Reason}}
User Name: {{User_Name}}

Goal: Acknowledge their choice, address their specific reason with a relevant resource or pause option if applicable, and make export/offboarding seamless. Maximum 120 words.

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Role: Senior Content Strategist.
Task: Create a comprehensive SEO-optimized blog outline based on the target keyword and intent.

Target Keyword: {{Target_Keyword}}
Search Intent: {{Search_Intent}}

Output Structure:
- Meta Title (under 60 chars)
- Meta Description (under 155 chars)
- Suggested H1
- H2 and H3 Heading breakdown structured logically for EEAT
- Key entities/terms to include in each section

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Role: Social Media Director.
Task: Repurpose the long-form content provided below into platform-optimized snippets.

Source Text:
"{{Source_Content}}"

Outputs required:
1. LinkedIn Post: Include hook, short paragraphs, 3 relevant hashtags, and a clear call to action.
2. X (Twitter) Thread: 3 to 5 concise tweets continuing a clear narrative.
3. Instagram Caption: Engaging, visual narrative style with bullet points and clean line breaks.

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Role: Technical SEO Specialist.
Task: Read the page summary below and generate 3 variations of SEO meta titles and meta descriptions.

Page Summary:
"{{Page_Summary}}"

Requirements:
- Meta Titles: 50-60 characters, target keyword near the beginning.
- Meta Descriptions: 140-155 characters, include CTA, active voice.
- Output clean Markdown table with columns: Option #, Meta Title, Title Char Count, Meta Description, Desc Char Count.

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Role: Industry Newsletter Editor.
Task: Take the 3 article summaries below and synthesize them into a single "Weekly Industry Roundup" newsletter section.

Articles Input:
1. {{Article_1_Summary}}
2. {{Article_2_Summary}}
3. {{Article_3_Summary}}

Format:
- Catchy Section Title
- 1-sentence overarching trend summary.
- 3 short paragraphs (1 for each article) linking key insights to practical reader takeaways.

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Role: Paid Search Copywriter.
Task: Generate 4 ad copy variants for Google Search Ads based on the product features.

Product: {{Product_Name}}
Target Audience: {{Target_Audience}}
Key Value Proposition: {{Value_Prop}}

Output requirements for each variant:
- Headline 1 (Max 30 chars)
- Headline 2 (Max 30 chars)
- Headline 3 (Max 30 chars)
- Description 1 (Max 90 chars)
- Description 2 (Max 90 chars)

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Role: Video Marketing Editor.
Task: Analyze the raw transcript below and create structured YouTube timestamps and chapter titles.

Raw Transcript:
"{{Video_Transcript}}"

Format:
00:00 - Introduction
MM:SS - [Descriptive Chapter Title]
Include 1-sentence summaries under each timestamp for YouTube description copy.

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Role: Corporate PR Specialist.
Task: Turn the following internal feature launch notes into a standard AP-Style Press Release.

Launch Notes: {{Launch_Notes}}
Company: {{Company_Name}}
Release Date: {{Release_Date}}

Must include: Immediate Release Header, Dateline, Engaging Lead Paragraph, Executive Quote Placeholder, Feature Details, and About Boilerplate Placeholder.

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Role: Growth Marketer.
Task: Convert the high-level concept into a 5-page PDF Lead Magnet outline.

Topic Concept: {{Lead_Magnet_Topic}}

Output layout:
- Cover Title & Subtitle Options
- Page 1: Problem Definition & Assessment
- Page 2-3: Core Actionable Framework (3-step method)
- Page 4: Case Study / Proof Point
- Page 5: Resource Checklist & Pitch/CTA

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Role: Lead Systems Data Integrator.
Task: Extract structured data from the unstructured raw text below.

Raw Input Text:
"{{Unstructured_Text}}"

Extract the following variables into strict, valid JSON format without markdown explanation wrappers:
{
  "full_name": string or null,
  "email": string or null,
  "phone": string or null,
  "company": string or null,
  "estimated_budget": number or null,
  "urgency": "High" | "Medium" | "Low"
}

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Role: Customer Intelligence Analyst.
Task: Evaluate the customer review and assign sentiment scores and topic tags.

Review Text:
"{{Customer_Review}}"

Output CSV Format:
Sentiment_Score(-1.0 to 1.0), Primary_Category, Secondary_Category, Actionable_Bug_Report(True/False)

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Role: Senior Business Intelligence Analyst.
Task: Review the weekly metric change raw data and provide a concise diagnostic summary.

Metric Data Input:
"{{Metric_Changes}}"

Output:
1. Executive Summary (2 sentences max)
2. Top Positive Drivers (up to 3 items)
3. Anomalies / Negative Metrics Requiring Attention (up to 3 items)
4. Recommended Next Diagnostic Step

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Role: User Experience Researcher.
Task: Tag the open-ended survey response with up to 3 standardized UX tags from our taxonomy list.

Allowed Taxonomy List: [UI-Navigation, Pricing, Onboarding-Speed, Feature-Missing, Performance-Lag, Support-Quality]

Survey Response:
"{{Survey_Response}}"

Output: Return ONLY a comma-separated list of matched tags. Do not add conversational text.

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Role: Competitive Intelligence Analyst.
Task: Analyze the release notes from a competitor website and structure the data into a comparison format.

Competitor Release Text:
"{{Competitor_Text}}"

Output Table Columns:
| Feature Name | Category | Core Benefit | Potential Threat Level (Low/Med/High) |

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Role: Automated Accounting Assistant.
Task: Read the raw OCR invoice text and extract standard accounting ledger entries.

Invoice OCR Text:
"{{Invoice_OCR}}"

Output Format:
Vendor Name:
Invoice Date:
Invoice ID:
Subtotal:
Tax Amount:
Grand Total:
Suggested Expense GL Account Code: [Software / Travel / Marketing / Office Supplies / Professional Services]

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Role: RevOps Analyst.
Task: Score the incoming lead from 0 to 100 based on fit criteria.

Lead Inputs:
Job Title: {{Job_Title}}
Company Size: {{Company_Size}}
Software Budget: {{Budget}}
Use Case Description: {{Use_Case}}

Scoring Rules:
- Enterprise (1000+ employees) or C-Level Title: +30 pts
- Defined Budget > $10k: +40 pts
- Clear, specific business use case: +30 pts

Output: Score (Number) followed by a 1-sentence justification.

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Role: Agile Product Owner.
Task: Convert the feature request into a standardized User Story with Acceptance Criteria.

Feature Request:
"{{Feature_Request_Text}}"

Format:
**User Story:** As a [type of user], I want to [action] so that [benefit].

**Acceptance Criteria:**
- Scenario 1: [Given/When/Then]
- Scenario 2: [Given/When/Then]
- Scenario 3: [Given/When/Then]

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Role: Technical Project Manager.
Task: Break down the project statement of work into 3 chronological phases with specific deliverables.

Project Description:
"{{Project_SOW}}"

Output Format:
### Phase 1: Discovery & Setup (Weeks 1-2)
- Deliverable 1.1
- Deliverable 1.2

### Phase 2: Execution & Implementation
- Deliverable 2.1
- Deliverable 2.2

### Phase 3: Testing & Hand-off
- Deliverable 3.1
- Deliverable 3.2

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Role: Scrum Master Assistant.
Task: Analyze the team slack standup notes and identify hidden risks or explicit blockers.

Standup Notes:
"{{Slack_Standup_Text}}"

Output:
- Identified Blockers: [List item or None]
- Dependency Risks: [List item or None]
- Suggested Action: [1 sentence recommendation]

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Role: Productivity Coach AI.
Task: Categorize the list of incoming tasks using the Eisenhower Matrix.

Task List:
"{{Task_List}}"

Categories required in output:
1. Do First (Urgent & Important)
2. Schedule (Not Urgent & Important)
3. Delegate (Urgent & Not Important)
4. Eliminate (Not Urgent & Not Important)

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Role: Site Reliability Engineer (SRE).
Task: Format raw incident log entries into an executive Post-Mortem summary.

Raw Incident Data:
"{{Incident_Logs}}"

Output Structure:
- Incident Summary
- Root Cause Analysis (RCA)
- Impact Duration & Systems Affected
- Prevention Action Items (with owners)

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Role: Operations Resource Manager.
Task: Evaluate team capacity against assigned story points and flag over-allocations.

Team Capacity Data:
"{{Team_Capacity_Data}}"

Rules:
Flag any team member assigned over 80% capacity as "At Risk".
Flag any team member under 40% capacity as "Underutilized".
Provide 2 concrete task re-allocation suggestions.

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Role: Sales Operations Specialist.
Task: Process sales rep notes from a discovery call and update CRM field values.

Call Notes:
"{{Sales_Call_Notes}}"

Required CRM Fields Output:
- Target Pain Point:
- Decision Maker Confirmed (Yes/No):
- Estimated Timeline:
- Competitors Mentioned:
- Deal Health Score (Red/Yellow/Green):

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Role: Customer Success Manager.
Task: Draft a tailored Welcome Email for a newly onboarded enterprise account.

Account Details:
Account Name: {{Account_Name}}
Industry: {{Industry}}
Primary Integrations Chosen: {{Integrations}}

Task:
Write a warm 150-word welcome email highlighting how {{Account_Name}} can connect their existing {{Integrations}} stack immediately to achieve rapid time-to-value.

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Role: Customer Health Analyst.
Task: Assess account activity logs and assign a Churn Risk Category.

Account Activity Log:
"{{Activity_Log_Data}}"

Criteria:
- Logins dropped > 50% month-over-month = High Risk
- Open unresolved billing support tickets = Medium Risk
- Regular feature usage = Low Risk

Output:
Risk Level: [High / Medium / Low]
Primary Risk Driver: [1 sentence explanation]
Recommended Action: [e.g. Schedule Executive Touchpoint]

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Role: Commercial Contracts Manager.
Task: Fill out a standardized scope clause for an enterprise proposal.

Client Name: {{Client_Name}}
Services Selected: {{Selected_Services}}
Total Fee: {{Total_Fee}}

Generate a formal 2-paragraph SOW scope summary clearly defining deliverables, client responsibilities, and payment terms based on the inputs provided.

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Role: Growth Marketer.
Task: Draft an in-app notification offering a plan upgrade to a user reaching usage limits.

User Data:
Feature Reached Limit: {{Feature_Name}}
Current Tier: {{Current_Tier}}
Upgrade Tier: {{Upgrade_Tier}}

Output:
Headline (Max 6 words):
Body Copy (Max 25 words emphasizing unblocking their workflow):
CTA Button Text (Max 3 words):

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Role: Senior Director of Customer Success.
Task: Synthesize 90 days of account usage into 3 strategic accomplishments for an Executive Business Review (EBR) slide deck.

Account Metrics:
"{{Account_Metrics_Summary}}"

Output:
1. Key Value Milestone Achieved (with metric)
2. Platform Efficiency Gain (with metric)
3. Strategic Focus for Next Quarter

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Role: Senior Quality Assurance Engineer.
Task: Transform raw user issue reports into structured Jira bug tickets.

User Bug Description:
"{{User_Bug_Report}}"

Output Structure:
**Bug Summary:** Clear title
**Steps to Reproduce:**
1.
2.
3.
**Expected Result:**
**Actual Result:**
**Severity:** [Critical/Major/Minor]

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Role: Technical Writer.
Task: Generate clean developer documentation for the code snippet below.

Code Snippet:
"{{Code_Snippet}}"

Output Layout:
- Function Description
- Parameters List (Name, Type, Required/Optional, Description)
- Return Value (Type and Description)
- Example Usage Block

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Role: Data Engineer AI.
Task: Translate the natural language request into a valid PostgreSQL query based on the schema provided.

Database Schema:
Users(id, name, email, created_at)
Orders(id, user_id, total_amount, status, created_at)

User Request:
"{{User_Request}}"

Output: Return ONLY the raw executable SQL query inside code blocks. No natural language chatter.

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Role: Lead Developer.
Task: Convert a summary of code changes into a Conventional Commits standard commit message.

Diff Summary:
"{{Code_Diff_Summary}}"

Allowed Types: feat, fix, docs, style, refactor, test, chore.
Format: `(): ` followed by a detailed bulleted list if necessary.

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Role: Information Security Analyst.
Task: Analyze the server authentication error log snippet and determine if it represents a threat.

Log Data:
"{{Server_Log_Snippet}}"

Output:
Threat Status: [Safe / Suspected Attack / Confirmed Anomaly]
Explanation: 2 sentence plain-language breakdown of what occurred in the log.
Recommended Firewall Action: [Block IP / Rate Limit / No Action]

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Role: DevOps Infrastructure Engineer.
Task: Read the failed build log snippet and extract the precise root error causing the failure.

Build Log Output:
"{{Build_Log}}"

Output:
- Failed Module / Dependency:
- Root Cause Error Message:
- Suggested Remediation Step: