🌟 New to AI? Start Here!

Prompting is just talking to the AI. The golden rule: Treat it like a smart intern. Be specific, give context, and say exactly what you want.

See the Difference

❌ Vague Prompt

"Write something about dogs"

Result: Generic, unfocused text you probably can't use.

✅ Specific Prompt

"Write a 200-word blog post about the benefits of adopting rescue dogs for families with kids."

Result: Focused, relevant, and exactly what you needed.

✍️ For Writers & Content Creators

Use ReactorAI to break writer's block, edit your work, or brainstorm endless ideas.

📝 Brainstorming

Try this: "Give me 10 creative blog post titles about [topic] that would appeal to [audience]."

Or: "Help me develop a villain for my sci-fi novel who believes they are the hero."

✨ Editing & Polish

Try this: "Rewrite this paragraph to be more [persuasive/casual/professional]: [paste text]"

Or: "Find the weak verbs in this text and suggest stronger alternatives."

💼 For Professionals & Students

Save hours on research, emails, and studying.

📧 The "Perfect Email" Template

"Draft a professional email to [recipient] about [subject]. Key points to include: 1) [point 1], 2) [point 2]. Tone should be [polite/firm/urgent]."

📚 Study & Research

Summarize: "Summarize this article in 3 bullet points: [link or text]"
Explain: "Explain quantum computing like I'm 12 years old."
Quiz Me: "Create a 5-question multiple choice quiz about the French Revolution."

💻 For Developers

🚀 DevOps & Infrastructure

          CI/CD Pipeline Design
          "Design a GitHub Actions CI/CD pipeline for a Node.js application with the following requirements:
1. Run tests on every pull request
2. Build Docker image on main branch commits
3. Deploy to staging automatically, production manually
4. Include environment-specific secrets handling
5. Add status badges and notifications

Provide the complete .github/workflows/ci-cd.yml file with inline comments."
        

          Docker Optimization
          "Review this Dockerfile and suggest optimizations for:
- Reducing image size
- Improving build cache efficiency
- Security best practices
- Multi-stage builds

[paste Dockerfile]

Provide the optimized version with explanations for each change."
        

          Infrastructure as Code
          "Create a Terraform configuration to provision:
- AWS VPC with public and private subnets across 2 availability zones
- Application Load Balancer
- Auto Scaling Group with EC2 instances
- RDS PostgreSQL database in private subnet
- Security groups following least privilege

Include variables, outputs, and explanatory comments."
        

🏗️ Software Architecture & Design

          System Design
          "Design a scalable real-time chat application architecture. Address:
1. Message delivery and persistence
2. User presence/online status
3. Horizontal scaling strategy
4. Database choice and schema
5. WebSocket vs polling trade-offs
6. Message ordering and reliability

Provide a system diagram description and key technology choices with justifications."
        

          API Design
          "Design a RESTful API for a blog platform with:
- User authentication and authorization
- CRUD operations for posts, comments, and tags
- Search and filtering capabilities
- Pagination and sorting
- Rate limiting considerations

Provide:
1. Complete OpenAPI/Swagger specification
2. Example request/response pairs
3. Error handling strategy
4. Versioning approach"
        

          Database Schema Design
          "Design a PostgreSQL database schema for an e-commerce platform including:
- Users, products, orders, and payments
- Product variants and inventory tracking
- Order history and status tracking
- Optimized for read-heavy workloads

Provide:
1. Complete SQL CREATE TABLE statements
2. Indexes for common queries
3. Foreign key relationships
4. Explanation of normalization decisions"
        

🔧 Debugging & Troubleshooting

          Performance Analysis
          "Analyze this slow-running function and suggest performance optimizations:

[paste code]

Address:
1. Time complexity analysis
2. Memory usage issues
3. Database query inefficiencies (if applicable)
4. Potential algorithmic improvements
5. Caching opportunities

Provide refactored code with performance benchmarks estimation."
        

          Bug Root Cause Analysis
          "I'm experiencing intermittent 'Connection timeout' errors in production. Details:
- Occurs during high traffic (>1000 req/min)
- Stack trace: [paste stack trace]
- Application uses Node.js with PostgreSQL
- Database CPU usage spikes to 80% when errors occur
- No errors in development environment

Analyze potential root causes, suggest investigation steps, and recommend fixes with priority order."
        

          Memory Leak Detection
          "My application's memory usage grows from 200MB to 2GB over 6 hours in production. Help diagnose:

Language: [Python/Java/Node.js]
Framework: [framework name]
Observations:
- Memory increases linearly with requests
- Garbage collection runs but doesn't reduce heap significantly
- [paste any profiler output]

Suggest:
1. Debugging approach and tools
2. Common patterns to look for
3. Code review checklist
4. Monitoring metrics to track"
        

💻 Code Generation & Review

          Production-Ready Code
          "Create a Python function to validate email addresses. 
Requirements:
1. Use regex for RFC 5322 compliance
2. Handle exceptions gracefully
3. Include type hints and comprehensive docstrings
4. Add input sanitization
5. Provide unit tests with edge cases (invalid formats, null values, SQL injection attempts)
6. Include logging for debugging

Make it production-ready with error messages that are user-friendly."
        

          Security Code Review
          "Review this authentication code for security vulnerabilities:

[paste code]

Check for:
- SQL injection risks
- XSS vulnerabilities
- Password storage issues
- Session management flaws
- Input validation gaps
- CSRF protection
- Rate limiting
- Authentication bypass possibilities

Provide specific fixes for each issue found with secure code examples."
        

🦙 Ollama vs 💎 Gemini for Devs

🦙 Use Ollama (CodeLlama/Mistral)

Offline coding sessions
Sensitive code or proprietary logic
Quick code snippets and refactoring
Local script generation
Privacy-critical applications
Fast iteration on small functions

💎 Use Gemini Pro/Flash

Complex system architecture discussions
Explaining large codebases (paste entire files)
Modern framework best practices
Multi-step debugging with context
Comprehensive code reviews
In-depth performance optimization

Pro Tip: Iterative Development

Start with a high-level prompt to get the architecture right, then iterate with specific requests like "add error handling to the database connection" or "optimize the query in line 45". This approach yields better results than asking for everything at once.

Chain of Thought

Force the AI to show its work. Great for math or logic.

"Solve this problem step-by-step. Explain your reasoning for each step before giving the final answer."

Role Prompting

Give the AI a persona to get better style.

"Act as a senior marketing manager with 20 years of experience. Critique this marketing plan..."

Few-Shot Learning

Give examples to get the exact format you want.

"Convert these names to email addresses.
Example 1: John Doe -> j.doe@company.com
Example 2: Jane Smith -> j.smith@company.com
Task: Robert Johnson ->"

🔄 Iterative Prompting: The Secret to Great Results

The first response is rarely perfect. Treat AI conversations as iterative. Refine, redirect, and build on previous answers.

🎯 Refine the Output

After the first response, say:

"Make it more concise"
"Add more technical details"
"Rewrite this in a friendlier tone"
"Focus more on [specific aspect]"

🔍 Ask Follow-Up Questions

Dig deeper:

"Can you explain step 3 in more detail?"
"What are the potential drawbacks of this approach?"
"Give me an alternative solution"
"How would this work in [different context]?"

🔧 Fix Mistakes

If the AI gets something wrong:

"That's not quite right. I need [correction]."
"Actually, ignore my previous request. Instead..."
"Let's start over with a different approach"

🎓 More Advanced Techniques

📋 Constraint Setting

Add specific constraints to get exactly what you need.

"Write a 300-word product description for [product]. Requirements: Must mention [feature 1, feature 2, feature 3]. Avoid using the words 'revolutionary' or 'game-changing'. Target audience: small business owners."

🔀 Perspective Shift

Ask the AI to consider multiple viewpoints.

"Analyze this business decision from three perspectives: 1) Financial impact, 2) Employee morale, 3) Customer satisfaction. Then give a balanced recommendation."

📊 Structured Output

Request specific formats for organized results.

"List 5 pros and cons of remote work. Format as a table with columns: Pro | Why it matters | Con | Why it matters"

🎭 Socratic Method

Let the AI guide you to answers through questions.

"I'm struggling to decide between career path A and B. Instead of telling me what to choose, ask me 5 questions that will help me make this decision myself."

🧩 Template Filling

Provide a template and let the AI complete it.

"Fill in this job description template:

[Company name] is seeking a [Job Title] to [main responsibility]. 

Key Responsibilities:
- [item 1]
- [item 2]
- [item 3]

Required Skills:
- [skill 1]
- [skill 2]

Company: TechStartup Inc.
Role: Senior Backend Engineer
Focus: Building scalable API infrastructure"

🔧 Troubleshooting Common Issues

🚫 Problem: Generic or Vague Responses

Why it happens: Your prompt was too vague or the AI needs more context.

Fix:

Add specific details and constraints
Provide examples of what you want
Use "Be specific" or "Give concrete examples"
Break complex requests into smaller parts

🤔 Problem: AI Misunderstands Your Intent

Why it happens: Ambiguous phrasing or unclear context.

Fix:

Rephrase your question more clearly
Add "To clarify, I mean..."
Provide context: "I'm a [role] working on [project]..."
Use simple, direct language

📏 Problem: Output Too Long or Too Short

Fix:

Specify exact length: "in 200 words" or "in 3 paragraphs"
Use "Make it more concise" or "Expand on this"
Request "Give me just the key points"
Ask for "A detailed explanation with examples"

🎨 Problem: Wrong Tone or Style

Fix:

Specify tone: "Write in a casual/formal/friendly/professional tone"
Give style guidance: "Write like [author/publication]"
Request "Rewrite this with [adjective] language"
Use "Avoid jargon" or "Use technical terminology"

🔄 Problem: AI Repeats Itself

Fix:

Say "Give me different examples"
Request "Approach this from a new angle"
Use "Without repeating what you said before..."
Start a new session for a fresh perspective

⚡ Problem: Response Cuts Off Mid-Sentence

Why it happens: Hit model's length limit.

Fix:

Simply say "Continue" or "Keep going"
Ask for a summary: "Summarize what you were about to say"
Break request into smaller chunks
Request "Part 1 of 3" approach for long content

Pro Tip: Context Persistence

ReactorAI remembers your conversation history within a session. Use this to your advantage by building on previous responses without re-explaining context every time!

💡 Best Practices for Any Use Case

✅ Do This

Be specific and detailed
Provide context and background
Specify desired format and length
Give examples when possible
Break complex tasks into steps
Use follow-up questions to refine
Specify your audience or use case
Emphasize critical requirements

❌ Avoid This

One-word prompts
Assuming the AI knows your context
Vague requests without details
Expecting perfection on first try
Giving up after one bad response
Using ambiguous pronouns ("it", "that")
Asking multiple unrelated questions at once
Forgetting to specify constraints

🎯 The Ultimate Prompt Formula

[Role/Context] + [Task] + [Constraints] + [Format] + [Tone]


"You are a [marketing expert]. 
Create a [social media campaign] 
for [product launch]. 
Requirements: [must include 5 posts, target Gen Z, avoid clichés].
Format: [Table with columns: Post, Platform, Copy, Hashtags].
Tone: [Energetic and authentic]."

🚀 Model-Specific Optimization Tips

🦙 Ollama (Local Models)

Best for:

Privacy-sensitive tasks (legal, medical, financial data)
Offline work without internet
Fast iterations when testing prompts
Code generation and debugging

Tips:

Keep prompts concise - local models have smaller context windows
Use CodeLlama for programming tasks
Break complex tasks into smaller chunks
Be patient with longer responses - processing is local

💎 Gemini Pro/Flash

Best for:

Complex reasoning and analysis
Large documents or codebases
Multilingual tasks
Creative writing with nuance

Tips:

Leverage the larger context window - paste entire articles or code files
Use Gemini for complex multi-step reasoning
Great for "explain this codebase" questions
Request detailed analysis - Gemini excels at depth

Mix and Match

Use Ollama for quick local iterations and Gemini for complex analysis. ReactorAI makes switching between models seamless!

🎬 Real-World Example Prompts

Copy, paste, and adapt these proven prompts for your needs.

          📊 Data Analysis
          "I have sales data showing a 30% drop in Q3. Analyze potential causes. Consider: seasonality, market trends, competitor actions, internal changes. Provide 5 most likely reasons ranked by probability and suggest data points I should investigate for each."
        

          ✍️ Content Repurposing
          "Take this 2000-word blog post [paste] and create: 1) A LinkedIn post (200 words), 2) 5 tweet-length takeaways, 3) An email newsletter intro (150 words). Maintain the key points but adjust tone for each platform."
        

          💻 Code Review
          "Review this Python code for: 1) Security vulnerabilities, 2) Performance bottlenecks, 3) Code style issues, 4) Missing error handling. For each issue found, explain the risk and suggest a fix.

[paste code here]"
        

          🎯 Decision Making
          "I need to decide between three project management tools: Asana, Monday, and ClickUp. Create a comparison focusing on: pricing for teams of 10, ease of use, integration with Google Workspace, reporting capabilities. Present as a table with a recommendation for a remote marketing team."
        

          📚 Learning Aid
          "I'm learning React hooks. Explain useState, useEffect, and useContext. For each: 1) What problem it solves, 2) Basic syntax example, 3) Common mistakes to avoid, 4) One practical use case. Explain like I'm familiar with JavaScript but new to React."
        

          🔍 Research Synthesis
          "Summarize the current state of quantum computing in 2025. Cover: 1) Latest breakthroughs, 2) Main challenges remaining, 3) Practical applications available now, 4) Timeline predictions for mainstream adoption. Cite general industry consensus where applicable. Target audience: tech-savvy business leaders."
        

🎓 Keep Learning

Prompting is a skill that improves with practice. The more you use ReactorAI, the better you'll get at getting exactly what you need.

💬 Experiment

Try different phrasings for the same request and see what works best.

📝 Save Good Prompts

When you craft a prompt that works well, save it as a template for future use.

🔄 Iterate

Don't expect perfection instantly. Refine responses through follow-up questions.

🎯 Be Patient

Complex tasks may require multiple back-and-forth exchanges to get right.

Ready to Master AI Prompting?

Start practicing with ReactorAI today. Every conversation makes you better!

Get Started with ReactorAI