Prompt 1: "Analyze current productivity app market trends and identify underserved segments"
Prompt 2: "For the [identified segment from step 1], list their primary productivity challenges"
Prompt 3: "Suggest 5 unique value propositions that address these specific challenges"
Prompt 4: "Choose the strongest value proposition and develop key messaging pillars"
Prompt 5: "For each messaging pillar, suggest 3 content pieces suitable for LinkedIn, Twitter, and blogs"
Prompt 6: "Create a 90-day campaign calendar with specific content for each channel"

Step 1 (Research): Gather information
Step 2 (Synthesis): Analyze and draw conclusions  
Step 3 (Application): Create deliverable using insights

Prompt 1 (Research):
"List the top 5 competitors in the [industry] for [product type]. For each, provide:
- Company name
- Primary product features
- Pricing model
- Target customer segment
- Key differentiators"

[AI provides list]

Prompt 2 (Synthesis):
"Based on this competitive landscape: [paste AI output from Prompt 1]
Identify:
1. Common features across all competitors (table stakes)
2. Unique features only 1-2 competitors offer (differentiation opportunities)
3. Price range clustering
4. Underserved customer segments"

[AI provides analysis]

Prompt 3 (Application):
"Using this competitive analysis: [paste Prompt 2 output]
Create a 1-page executive summary for a new product strategy that:
- Addresses underserved segments
- Includes unique differentiation
- Proposes competitive pricing
Format as: Opportunity, Strategy, Expected Outcomes"

Step 1 (Generate): Create multiple options without judgment
Step 2 (Evaluate): Analyze strengths/weaknesses of each option
Step 3 (Refine): Improve the best option based on evaluation

Prompt 1 (Generate):
"Generate 20 product name ideas for a SaaS tool that helps sales teams automate follow-up emails.
Requirements:
- Memorable and easy to spell
- Suggests speed/efficiency
- Available as .com domain (assume availability)
No explanation, just list the names."

[AI provides 20 names]

Prompt 2 (Evaluate):
"For these product names: [paste list]
Evaluate each on:
1. Memorability (1-10)
2. Clarity (does it suggest the product purpose?) (1-10)
3. Uniqueness (not generic) (1-10)
4. Professional tone (appropriate for B2B) (1-10)
Present as a ranked table with total scores."

[AI provides scored evaluation]

Prompt 3 (Refine):
"Take the top 3 names from this evaluation: [paste top 3]
For each, suggest 2 variations that:
- Improve clarity while maintaining memorability
- Consider alternate spellings or word combinations
- Remain professional and appropriate for B2B SaaS"

Step 1 (Outline): Define structure and key points
Step 2 (Draft): Write content for each section
Step 3 (Polish): Refine tone, flow, and formatting

Prompt 1 (Outline):
"Create a detailed outline for a 2,000-word blog article on 'How to automate invoice processing with Python'.
Target audience: Finance professionals with basic Excel skills, no programming background.
Include:
- Introduction (problem statement)
- 3-4 main sections
- Specific subsections under each
- Conclusion
- FAQ section
Format as hierarchical bullet points with brief descriptions of what each section covers."

[AI provides outline]

Prompt 2 (Draft - Section 1):
"Write the Introduction section for this outline: [paste outline]
Use this structure:
- Hook: Relatable pain point (30 words)
- Context: Why manual invoice processing is problematic (100 words)
- Promise: What this article will teach (50 words)
Tone: Conversational but professional, empathetic to reader's frustration."

[Repeat Prompt 2 for each main section]

Prompt 3 (Polish):
"Here is the complete draft: [paste all sections]
Improve it by:
1. Ensuring smooth transitions between sections
2. Varying sentence structure (avoid repetitive patterns)
3. Adding 2-3 specific examples or statistics
4. Checking that technical concepts are explained for non-programmers
5. Strengthening the conclusion with clear next steps
Maintain the current length and overall structure."

Step 1 (General): Establish broad understanding
Step 2 (Specific): Narrow to specific situation
Step 3 (Contextual): Apply to exact context with constraints

Prompt 1 (General):
"List the major productivity methodologies (GTD, Time Blocking, Pomodoro, etc.).
For each, explain:
- Core principles (2-3 sentences)
- Best suited for (type of work / person)
- Strengths
- Limitations"

[AI provides overview]

Prompt 2 (Specific):
"Based on these methodologies: [paste Prompt 1 output]
Recommend the best approach for someone who:
- Manages 3-4 concurrent projects
- Has many interruptions throughout the day
- Struggles with prioritization
- Works remotely with flexible schedule
Explain why this methodology fits these specific needs."

[AI provides recommendation]

Prompt 3 (Contextual):
"Create a specific implementation plan for [methodology from Prompt 2] tailored to:
- Tools available: Notion, Google Calendar, Slack
- Work hours: 9am-5pm with 10-15 interruptions daily
- Types of work: 40% meetings, 40% deep work, 20% admin
- Must integrate with existing team standup at 9:30am
Provide:
- Daily schedule template
- Tool setup instructions
- First-week implementation steps"

Step 1: Generate output
Step 2: Critique and validate the output
Step 3: Revise based on validation
Step 4: Proceed with validated output

Prompt 1:
"Write a SQL query to calculate average order value per customer in the last 90 days."

[AI provides query]

Prompt 2 (Validation):
"Review this SQL query: [paste query]
Check for:
1. Syntax errors
2. Logic errors (does it actually calculate what was requested?)
3. Performance issues (missing indexes, inefficient joins)
4. Edge cases (null values, division by zero)
List any issues found."

[AI identifies issues]

Prompt 3 (Revision):
"Revise the original query to fix these issues: [paste identified issues]
Provide the corrected query with comments explaining the changes."

Step 1: Define problem
Step 2a: Approach A
Step 2b: Approach B  
Step 2c: Approach C
Step 3: Compare approaches
Step 4: Synthesize best elements

Prompt 1:
"Problem: Customer churn increased 15% this quarter.
Available data: Usage logs, support tickets, billing history, NPS surveys.
List the problem scope and key questions to investigate."

[AI defines scope]

Prompt 2a:
"Approach this as a product problem. What product usage patterns or missing features might cause churn?"

Prompt 2b:
"Approach this as a customer success problem. What support or onboarding gaps might cause churn?"

Prompt 2c:
"Approach this as a pricing problem. What billing or pricing factors might cause churn?"

[Three different analyses]

Prompt 3:
"Compare these three approaches: [paste all three]
Identify:
- Which approach has strongest evidence from available data
- Overlapping insights across approaches
- Unique insights from each approach
- Most actionable recommendations"

Prompt 4:
"Create a unified action plan combining the best insights from all three approaches, prioritized by impact and feasibility."

Step 1: Create initial version
Step 2: Identify specific weaknesses
Step 3: Fix weaknesses → Version 2
Step 4: Identify remaining weaknesses
Step 5: Fix weaknesses → Version 3
(Repeat until quality threshold met)

Prompt 1:
"Write a cold outreach email to CFOs of mid-sized manufacturing companies (50-500 employees) promoting expense management software that uses AI to detect duplicate payments and policy violations."

[AI provides email]

Prompt 2:
"Critique this email: [paste email]
Specifically assess:
- Does it grab attention in first sentence?
- Does it demonstrate understanding of CFO pain points?
- Is the value proposition clear and quantified?
- Is the call-to-action specific and low-friction?
- Is it concise enough for busy executives?
Rate each 1-10 and explain ratings."

[AI provides critique with specific scores]

Prompt 3:
"Rewrite the email addressing the lowest-scoring areas: [paste low-scoring items]
Keep successful elements from the original."

[AI provides V2]

Prompt 4:
"This version is better. Now make it more personalized by:
- Adding a specific pain point about manufacturing industry AP challenges
- Including a relevant statistic about duplicate payments in manufacturing
- Removing any generic SaaS marketing language"

[AI provides V3]

Prompt 5:
"Final polish: Reduce to under 150 words while keeping all key points. Make subject line more specific and curiosity-driving."

Step 1: Establish foundation context
Step 2: Layer on additional context
Step 3: Add more layers
Step 4: Execute task with full accumulated context

Prompt 1 (Foundation):
"I need to design a machine learning training program.
Background context:
- Participants: Data analysts with strong SQL and Excel skills, no programming
- Company: Financial services, handles sensitive customer data
- Goal: Enable team to build and deploy ML models for credit risk assessment
- Timeline: 12 weeks
- Resources: Access to cloud ML platforms, 6 hours per week study time

Based on this, what foundational concepts should the training cover?"

[AI provides foundation curriculum]

Prompt 2 (Layer constraints):
"Add these constraints to the training plan: [paste foundation]
- Must comply with financial regulations (model explainability required)
- Team is remote, asynchronous learning preferred
- Mix of theory and hands-on projects needed
- Budget: $500/person for courses/tools
How does this change the curriculum and delivery approach?"

[AI adjusts plan]

Prompt 3 (Layer team specifics):
"Further context about the team: [paste adjusted plan]
- 2 team members are eager and self-motivated
- 3 team members are skeptical about learning programming
- 1 team member has dabbled with Python before
Suggest:
- How to structure groups/pairs
- How to keep skeptical members engaged
- How to leverage the Python-experienced person"

[AI provides team strategy]

Prompt 4 (Execute with full context):
"Using all previous context, create a detailed Week 1-2 implementation plan including:
- Specific lessons and exercises
- Team collaboration activities
- Homework assignments with time estimates
- Check-in points to assess comprehension
- How to adjust if people are struggling
Format as a day-by-day schedule."

PROJECT: [Name]
DATE: [Date]
GOAL: [Final objective]

━━━━━━━━━━━━━━━━━━━━━━━━━━
PROMPT 1: [Intent]
━━━━━━━━━━━━━━━━━━━━━━━━━━
[Exact prompt text]

OUTPUT:
[Paste AI output here]

━━━━━━━━━━━━━━━━━━━━━━━━━━
PROMPT 2: [Intent]
━━━━━━━━━━━━━━━━━━━━━━━━━━
[Prompt using output from Prompt 1]

OUTPUT:
[Paste AI output here]

[Continue for all prompts]

━━━━━━━━━━━━━━━━━━━━━━━━━━
FINAL DELIVERABLE:
━━━━━━━━━━━━━━━━━━━━━━━━━━
[Your final synthesized result]

You are a marketing campaign generator that uses a structured 5-step process:

STEP 1: Ask the user for:
- Product/service description
- Target audience
- Business goals
- Budget and timeline

STEP 2: Analyze market and identify:
- Target audience pain points
- Competitive landscape
- Unique value propositions
Present findings and ask user to select strongest value prop.

STEP 3: For selected value prop, develop:
- Core messaging pillars (3-5)
- Proof points for each pillar
- Brand voice guidelines
Ask user for feedback on messaging direction.

STEP 4: Create campaign structure:
- Content types per channel
- Publishing cadence
- Success metrics
Present campaign calendar and get approval.

STEP 5: Generate first month of specific content pieces:
- Headlines and copy
- Visual descriptions
- Post copy for each channel
Deliver as ready-to-use content package.

Guide the user through each step sequentially. Don't skip steps. Always present outputs from one step and wait for user input before proceeding to the next step.

Step 1: Define the problem
Step 2: List potential causes
Step 3: Group causes into categories
Step 4: Pick one category
Step 5: Analyze that category
Step 6: Draw a conclusion

Step 1: Define the problem and list potential causes grouped by category
Step 2: Analyze the most likely categories
Step 3: Draw conclusions and recommend actions

Prompt 1: "Analyze market trends in e-learning"
[AI provides analysis]

Prompt 2: "Suggest product ideas"

Prompt 2: "Based on these market trends: [paste Prompt 1 output]
Suggest 5 product ideas that specifically address the trends around micro-credentialing and skills-based hiring that you identified. Each idea should target a different customer segment."

Prompt 1: "Research statistics on remote work productivity"
[AI provides 5 statistics, but 2 are outdated and 1 is from unreliable source]

Prompt 2: "Create an infographic using these statistics"
[Proceeds with flawed data]

Prompt 1: "Research statistics on remote work productivity from 2024-2026 only, from reputable sources (academic studies, major consulting firms, government data)"

Prompt 1b (Validation): "For each statistic: [paste statistics]
Verify:
- Publication date (must be 2024 or later)
- Source credibility
- Sample size if applicable
Flag any that don't meet criteria."

[Fix or replace flagged statistics]

Prompt 2: "Now create an infographic using these verified statistics..."