Master the art of communicating with AI for better, more consistent results across all Vigthoria products.
Prompt engineering is the art and science of crafting effective instructions for AI systems. Just like giving directions to a person, how you ask for something dramatically affects what you get back.
Think of the AI as a brilliant but literal assistant. It has vast knowledge but needs clear guidance on exactly what you want. The difference between a vague prompt and a well-crafted one can be the difference between a useless response and a perfect solution.
The more specific your prompt, the more likely you are to get what you want.
"Write me some code"
"Write a Python function that validates email addresses using regex, with docstrings and error handling"
Give the AI background information it needs to understand your situation.
Tell the AI exactly how you want the output structured.
Explain the SOLID principles in software development. Format: - Use bullet points for each principle - Include one code example per principle (in TypeScript) - Keep explanations under 50 words each
Tell the AI who the audience is and what tone to use.
"Explain like I'm a senior developer familiar with design patterns"
"Explain like I'm new to programming, avoid jargon, use analogies"
Show the AI what you want by providing examples of the input and desired output.
Convert these company names to URL-friendly slugs: Examples: - "Apple Inc." → "apple" - "Johnson & Johnson" → "johnson-and-johnson" - "3M Company" → "3m" Now convert: - "Mercedes-Benz AG" - "The Coca-Cola Company"
Vigthoria Operator excels at complex reasoning, research, and multi-step tasks. Here's how to get the best results.
For complex requests, break them into numbered steps:
I need to plan a software architecture. Please: 1. First, analyze the requirements I'll describe 2. Suggest 3 possible architecture patterns with pros/cons 3. Recommend one based on our team size (5 developers) 4. Create a high-level component diagram in ASCII Requirements: [describe your project]
Ask the AI to take on a specific role for more focused responses:
Act as a senior DevOps engineer with 10 years of experience in AWS. Review my Terraform configuration and identify security vulnerabilities and cost optimization opportunities. Be thorough but prioritize by severity.
Ask the AI to explain its reasoning for better, more accurate results:
Analyze this SQL query for performance issues. Think through it step-by-step, explaining your reasoning before giving recommendations. [paste your query]
Adding "Let's think step by step" to complex reasoning tasks often improves accuracy significantly.
When using Vigthoria Coder and ViaGen6 for code generation, these techniques help you get production-ready code.
Always specify your tech stack, versions, and constraints:
Create a user authentication component with the following requirements: Tech Stack: - React 18 with TypeScript - TailwindCSS for styling - React Hook Form for form handling - Zod for validation Requirements: - Email and password login - "Remember me" checkbox - Error handling with user-friendly messages - Accessible (ARIA labels, keyboard navigation) - Mobile-responsive
Reference existing code structure when adding to a project:
I have an existing Express API with this structure: - /src/routes/ - route handlers - /src/middleware/ - custom middleware - /src/services/ - business logic - /src/models/ - database models (using Prisma) Add a new endpoint for user profile updates following the existing patterns in the codebase.
Write this code with: - Full TypeScript types (no 'any') - Comprehensive error handling - Unit tests using Jest - JSDoc comments - Performance optimization for large datasets
Don't just say "make it good" — specify exactly what "good" means for your use case: fast, readable, maintainable, minimal dependencies, etc.
Music AI interprets both lyrics and style prompts. Here's how to get the sound you want.
Layer your style descriptions from broad to specific:
"rock"
"90s alternative rock, grunge-influenced, raw guitars, melancholic, mid-tempo, male vocals"
Describe the feeling or scene you want the music to evoke:
Style: Cinematic orchestral, building tension, dark fantasy atmosphere, like riding into battle at dawn, brass swells, thunderous drums, heroic but bittersweet, epic choir in final chorus
Use structure tags to control song sections:
[verse] Walking through the city lights Memories of better nights Everything we left behind Playing movies in my mind [chorus] We were young and so alive Dancing through the neon sky Now those days have passed us by But I still see you in my eyes [bridge] Maybe someday we'll return To the places where we learned How to live, how to love...
Listen to the first 30 seconds and regenerate quickly if it's not right. Early regeneration saves time compared to waiting for the full track.
Create reusable templates for common tasks:
Review this [LANGUAGE] code for: 1. Security vulnerabilities (rate: critical/high/medium/low) 2. Performance issues 3. Code style and readability 4. Potential bugs or edge cases Format findings as a table with: Issue | Severity | Line | Suggested Fix ```[LANGUAGE] [PASTE CODE HERE] ```
Build on previous responses to refine output:
Sometimes telling the AI what NOT to do is as important as what to do:
Write a Python data processing script. DO NOT: - Use pandas (we can't add dependencies) - Use global variables - Print to console (use logging instead) - Ignore errors (must handle all exceptions)
Ask the AI to help you write better prompts:
I want to create a prompt that will help me generate [describe your goal]. What questions should I answer in my prompt to get the best results? What details would help you give me exactly what I need?
Problem: The response is too basic or doesn't fit your specific needs.
Solution: Add more context about your specific situation, constraints, and requirements. Provide examples of what you're looking for.
Problem: The response is either overwhelming or lacks detail.
Solution: Explicitly state length requirements: "In 3 paragraphs..." or "In detail, covering at least..."
Problem: The output isn't structured the way you need it.
Solution: Provide a template or example of exactly how you want the output formatted.
Problem: Same prompt gives different quality results each time.
Solution: Make your prompt more specific and constrained. Add validation criteria the output should meet.
Problem: The AI makes up facts, APIs, or code that doesn't exist.
Solution: Ask the AI to only use information it's confident about. Request sources or ask it to flag uncertain information.
Start fresh with a new conversation. Sometimes conversation context can confuse the AI. Write your best prompt from scratch in a new chat.