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Startups in 2025

How to Write Prompts That Actually Work: The Comprehensive Guide on Prompt Improvement

How to Write Prompts That Actually Work: The Comprehensive Guide on Prompt Improvement

How to Write Prompts That Actually Work: The Comprehensive Guide on Prompt Improvement for Startups That Works in 2025

In a world where AI has become our everyday companion and unpaid employee, mastering prompt engineering isn't just a nice-to-have - it's a competitive advantage that can make or break your startup. Let me walk you through everything you need to know about crafting prompts that deliver results in 2025's AI landscape.

The Foundation: Understanding Prompt Engineering

Prompt engineering is essentially the art and science of crafting inputs that guide AI models to generate exactly what you need. It's like learning to speak the language of AI - and in 2025, it's become one of the highest leverage skills you can develop.
Think of it this way: everyone has access to the same AI tools, but not everyone knows how to use them effectively. The difference between getting mediocre results and mind-blowing outputs often comes down to how well you can communicate with these systems.

SANDBOX: Your AI Co-Founder for Prompt Validation

Before diving into techniques, let me introduce you to SANDBOX and PayPal from the F/MS Startup Game - the idea validation tool with an AI co-founder that's revolutionizing how startups approach prompt engineering.
SANDBOX helps you test and refine your prompts in real-time, providing immediate feedback on effectiveness and suggesting improvements. It's like having an expert prompt engineer sitting next to you, analyzing what works and what doesn't. The platform's unique strength is its ability to validate your prompts against real-world business objectives, ensuring you're not just getting technically correct responses, but strategically valuable ones.

The Anatomy of Effective Prompts

To make it simple: here's an example of a bad prompt

bad prompt
Here's how most people write their prompts

And here's the same prompt that's optimized for great results

great prompt example for article writing
And this is what a good prompt looks like

1. Start with Clear Context

The foundation of any effective prompt is providing clear context. This helps orient the AI by supplying relevant background information necessary for generating meaningful responses.
Weak: "Tell me about marketing strategies."
Improved: "As a B2B SaaS startup with a $5000 monthly budget targeting small financial firms, what digital marketing strategies would work best?"
The difference is night and day. The second version gives the AI specific parameters to work with, resulting in tailored, actionable advice rather than generic information you could find anywhere.
Here's an even better prompt that was created with our FREE Prompt Improver Tool:
# Role and Objective

You are a marketing expert tasked with providing an overview of effective marketing strategies tailored to various business contexts. Your goal is to deliver detailed, actionable insights organized clearly, suitable for professionals seeking guidance on marketing principles and practices.

<Instructions>

# Instructions

Follow these detailed instructions to craft a comprehensive and insightful response:

- **Tone of Voice**: Professional yet approachable, ensuring clarity and accessibility for a wide audience, including business professionals and entrepreneurs. Avoid overly technical jargon.

- **Scope and Depth**: Provide an organized summary of marketing strategies that could apply to different business models, focusing on relevance and adaptability. Include examples whenever necessary to illustrate key points.

- **Content Structure**:

- Define "marketing strategies" clearly and explain their importance.

- Segment the response into categories such as digital marketing, traditional marketing, branding, customer retention strategies, etc.

- Discuss emerging trends or innovative techniques in marketing, focusing on adaptability to current technology and consumer behavior.

- Highlight common pitfalls and best practices.

- Provide tips for customizing strategies based on industry type, target audience, and business goals.

- **Restrictions**:

- Replace long dashes (—) with regular dashes (-) or commas.

- Avoid filler language or generic advice without actionable details.

- Do not include unnecessary decorative formatting or emojis.

</Instructions>

<Output Format>

Format the response as follows:

```markdown

# Overview of Marketing Strategies

## What Are Marketing Strategies?

[Provide a definition and discuss their importance in driving business growth.]

## Types of Marketing Strategies

### 1. Digital Marketing

[Introduce digital approaches like social media, SEO, PPC ads, email marketing, etc.]

### 2. Traditional Marketing

[Discuss offline methods such as print advertising, direct mail, and events.]

### 3. Branding Strategies

[Highlight branding techniques for building a strong identity and consumer trust.]

### 4. Customer Retention and Loyalty

[Explain strategies for retaining customers, such as loyalty programs and personalized communication.]

### 5. Emerging Trends

[Discuss innovative techniques and emerging technologies like AI, influencers, and data-driven marketing.]

## Best Practices and Pitfalls to Avoid

[List actionable tips for success and note common mistakes to watch out for.]

## Customization Tips

[Provide advice on tailoring strategies for specific industries or unique business goals.]

```

<Final Task Statement>

Deliver a well-organized analysis of marketing strategies as per the structure outlined above. Ensure your explanations are targeted, actionable, and informed by best practices. Avoid vague language and focus on providing practical insights.

2. Be Explicit with Instructions

Vague prompts lead to vague responses. Break down your requests into concise, understandable sentences that communicate exactly what you want.
Weak: "Write about our product."
Improved: "Create a 300-word product description for our AI-powered inventory management system. Emphasize how it reduces stockouts by 75% and integrates with existing POS systems. Target audience is retail store managers who are tech-savvy but time-constrained."
Notice how the improved version specifies length, key benefits, and audience - all critical factors that shape the output.
Here's an even better prompt that was created with our FREE Prompt Improver Tool:
<Instructions>

# Role and Objective

You are a skilled marketing content creator. Your task is to write a compelling and engaging description of a product that effectively communicates its value, features, and unique benefits to its target audience. The content should be clear, persuasive, and designed to spark interest.

# Instructions

## General Guidelines

- **Tone of Voice**: Maintain a professional yet approachable and engaging tone. Adapt the tone to suit the target audience, whether casual, professional, or technical, as appropriate for the product.

- **Length and Clarity**: Write a concise description in under 150 words while ensuring all key information about the product is included. Avoid unnecessary filler language or fluff.

- **Content Focus**: Highlight:

- The product’s primary purpose.

- Unique features that differentiate it from competitors.

- Specific benefits that directly address the needs or pain points of the target audience.

## Restrictions and Mandatory Rules

- Do not use long dashes (—). Replace them with regular dashes (-) or commas.

- Avoid excessive terminology or jargon unless essential for the product's target audience.

- Keep the description free of unnecessary marketing clichés and focus on substance over style.

# Structure

1. **Header**: Write a short and engaging tagline or headline that captures the product’s essence.

2. **Body**: Focus on the product’s major features and benefits. Use clear, compelling sentences to communicate value. Highlight how the product solves a problem or enhances the customer’s experience.

3. **Closing Statement**: End with a strong CTA (Call to Action), prompting the audience to learn more, try the product, or make a purchase.

</Instructions>

<Output Format>

[Header]: Write an eye-catching tagline here.

[Body]: Write a concise, engaging product description here.

[Closing Statement]: Include a clear, actionable, and persuasive call-to-action here.

</Output Format>

<Final Task Statement>

Write a product description including a tagline, unique features, and benefits, all within the given structure and rules. Aim to connect deeply with the target audience and encourage action.

3. Specify Output Format

Tell the AI exactly how you want information presented. This is particularly useful for creating content that needs to follow specific structures.
For example: "Create a comparison table of the top 3 CRM solutions for startups, evaluating them on price, ease of implementation, mobile capabilities, and customer support."
This approach works wonders when you need information organized in a specific way for presentations, reports, or decision-making.

4. Assign a Role to the AI

One of the most powerful techniques is role prompting - assigning a specific role to the AI to help it adopt the appropriate tone, style, and perspective.
Example: "You are a UX research specialist with 10 years of experience in fintech applications. Review our app onboarding flow and identify potential friction points for first-time users."
By defining the role, you're essentially telling the AI what lens to use when approaching your request.

5. Use Chain-of-Thought Prompting

For complex problems, encourage the AI to break down its reasoning process step by step. This leads to more accurate and reliable results, especially for strategic or analytical tasks.
Example: "As our startup considers expanding into the European market, walk through the key regulatory considerations step by step, focusing particularly on GDPR compliance for our data-intensive product."
This technique is particularly valuable when you need to understand not just what the recommendation is, but why it's being made.

Advanced Techniques for 2025

1. Iterative Refinement

Prompt engineering isn't a one-and-done process. The most effective approach is iterative - start with a basic prompt, evaluate the output, and refine based on what's missing or incorrect.
For example, you might start with: "Draft an investor pitch for our AI-powered healthcare scheduling platform."
After reviewing the initial output, you could refine: "That's a good start, but let's make it more compelling. Emphasize our 40% reduction in no-shows and include our path to profitability in Q3 2026. Also, add a section addressing potential regulatory concerns."
Each iteration gets you closer to exactly what you need. Tools like Prompt Mixer can help track these versions and improvements.

2. Multimodal Prompting

In 2025, AI systems can handle text, images, audio, and more. Take advantage of this by incorporating multiple modes into your prompts when relevant.
For example: "I'm sharing our current website homepage screenshot. Identify UX improvements that could increase conversion rates, focusing on the call-to-action buttons and navigation menu."
This approach leverages the AI's ability to "see" and analyze visual information alongside textual context.

3. Knowledge Integration

Explicitly provide the AI with relevant knowledge or external data to improve accuracy and relevance. This is especially useful for industry-specific tasks.
Example: "Using the latest SaaS valuation metrics for 2025 (average ARR multiple is 8.5x for companies growing >50% YoY), help us determine a reasonable valuation range for our fundraising round."
By incorporating specific data points, you ground the AI's response in current, relevant information rather than potentially outdated training data.

Common Pitfalls to Avoid

1. Being Too Vague

Ambiguity is the enemy of good prompts. When you're not specific, the AI has to guess what you want - and it often guesses wrong.
Avoid: "Give me some marketing ideas."
Better: "Generate 5 guerrilla marketing tactics for our sustainable fashion startup targeting Gen Z consumers with a budget under $2,000."
<Instructions>

# Role and Objective

You are a creative marketing strategist tasked with generating guerrilla marketing tactics for a sustainable fashion startup targeting Gen Z consumers. Ensure the ideas align with the target audience's values, preferences, and communication styles, and clearly fit within the stated budget constraint (<$2,000).

# Instructions

Follow these detailed guidelines to produce a targeted output:

- **Target Audience**: Focus on Gen Z consumers, considering their preference for authenticity, digital engagement, and sustainability.

- **Tone of Ideas**: Maintain a creative, bold, and innovative approach suitable for guerrilla marketing. Avoid generic or overly traditional ideas.

- **Budget Constraint**: Ensure all ideas can be realistically executed for less than $2,000. Carefully consider cost-effectiveness and resource allocation.

- **Output Format**: Provide 5 distinct guerrilla marketing tactics, each described briefly yet impactfully. Use bullet points for clarity.

- **Focus**: Highlight strategies that leverage creativity, low-cost resources, and viral potential.

# Final Task Statement

Generate 5 guerrilla marketing tactics to promote a sustainable fashion startup targeting Gen Z consumers, ensuring the total budget for each idea remains under $2,000. Think creatively and focus on strategies that will resonate deeply with Gen Z's values of sustainability, authenticity, and uniqueness while delivering maximum impact.

</Instructions>

2. Overloading with Information

While context is important, there's such a thing as too much information. Focus on what's relevant to the task at hand.
Avoid: Dumping your entire business plan into a prompt when you just need help with naming your product.
Better: Provide concise background on your product's key benefits and target audience, then ask specifically for name suggestions.
<Instructions>

# Role and Objective

You are tasked with providing creative name suggestions for a product. To achieve this, first define the product's key benefits and identify its target audience clearly. Then, request name suggestions in a straightforward and engaging format.

# Instructions

## Background Definition

- Summarize the product's key benefits concisely and highlight what makes it unique or valuable.

- Specify who the target audience is and outline the characteristics or needs of this audience.

## Name Suggestion Request

- Formulate a clear and direct question asking for name suggestions.

- Encourage creative and innovative ideas, specifying any stylistic or thematic preferences for the names.

# Output Constraints

- Avoid long dashes; use regular dashes (-) or commas instead.

- Keep the wording concise and informative.

- Use a professional yet conversational tone.

- Do not include filler or redundant phrases.

# Final Task Statement

Combine a concise background of the product's key benefits and target audience, then explicitly ask for name suggestions in one cohesive response.

</Instructions>

<Example Output Format>

"Our product is a fitness app designed for busy professionals, offering personalized workout plans and quick, effective routines that fit into any schedule. The target audience consists of individuals aged 25–45 who want to maintain a healthy lifestyle but struggle with time constraints.

What are some creative name suggestions for this app? Feel free to focus on themes like health, efficiency, or empowerment!"

</Example Output Format>

3. Ignoring Platform Specifics

Different AI platforms have different strengths and limitations. What works on one may not work on another.
In 2025, understanding these platform-specific requirements is crucial for consistent, high-quality results. Adjust your prompting style accordingly.

Industry-Specific Prompt Engineering

For SaaS Startups

SaaS companies can leverage AI for everything from product documentation to customer support. Focus on prompts that maintain consistent voice and technical accuracy.
Example: "Create a step-by-step guide for setting up API integration with our payment processing system. The audience is developers with basic REST API experience but no familiarity with our specific authentication methods."

For E-commerce Startups

E-commerce businesses need compelling product descriptions, customer service responses, and marketing copy. Emphasize brand voice and persuasive elements.
Example: "Write 5 product descriptions for our premium organic skincare line. Each description should be 150 words, emphasize the sustainable sourcing of ingredients, and maintain our brand's warm but scientific tone."

For Fintech Startups

Financial technology companies need to balance technical accuracy with regulatory compliance. Your prompts should reflect this dual concern.
Example: "Draft a blog post explaining our new investment algorithm to non-technical users. Ensure it's compliant with SEC guidelines on performance claims and include appropriate disclaimers."

Measuring Prompt Effectiveness

How do you know if your prompts are actually working? In 2025, these metrics matter:
  1. Accuracy: Does the output contain factual errors or hallucinations?
  2. Relevance: How well does the output address your specific needs?
  3. Efficiency: How much editing is required after generation?
  4. Consistency: Do similar prompts produce similarly good results?
Tools like Orq.ai can help track these metrics across your organization, ensuring everyone benefits from prompt improvements.

Building a Prompt Library for Your Startup

One of the most valuable assets you can create is a library of effective prompts for common tasks. This ensures consistency and saves time.
Categories might include:
  • Customer communication templates
  • Product documentation frameworks
  • Marketing copy generators
  • Competitive analysis structures
  • Technical troubleshooting guides
By documenting what works, you turn prompt engineering from an individual skill into an organizational capability.

The Future of Prompt Engineering

As we move through 2025, prompt engineering continues to evolve. Stay ahead by:
  1. Experimenting constantly: Test new approaches and techniques regularly
  2. Learning from the community: Follow forums like r/PromptEngineering for the latest discoveries
  3. Using specialized tools: Leverage platforms designed specifically for prompt optimization
  4. Adapting to model updates: Be ready to adjust your approach as AI models evolve
Remember, the goal isn't just to get good outputs - it's to get outputs that drive real business value for your startup.

FAQ

What's the biggest mistake startups make with AI prompts?

The biggest mistake is treating AI like a magic solution rather than a tool that needs precise guidance. Many founders write vague prompts and then get frustrated with vague results. Specificity is key - tell the AI exactly what you need, in what format, and for what purpose.

How long should an effective prompt be?

There's no one-size-fits-all answer, but generally, effective prompts include enough context to guide the AI without overwhelming it with irrelevant details. For complex tasks, 3-5 sentences of context plus clear instructions often works well. For simpler tasks, you can be more concise.

Can I reuse prompts across different AI platforms?

While the fundamental principles of good prompting apply across platforms, you'll get the best results by tailoring prompts to each specific AI system. Different models have different strengths, weaknesses, and response patterns that may require adjustments to your prompting style.

How do I know if my prompt is the problem or if the AI just can't do what I'm asking?

Start by simplifying your request and seeing if the AI can handle a basic version. If it can, gradually add complexity back in until you identify where things break down. This helps distinguish between prompt issues and actual AI limitations.

Should I include examples in my prompts?

Yes! Few-shot prompting (providing examples of the input-output relationship you want) is one of the most effective techniques for guiding AI behavior. Even one or two examples can dramatically improve results, especially for tasks with specific formats or styles.

How often should I update my prompts?

As AI models evolve and your business needs change, your prompts should evolve too. Review and refine your most-used prompts quarterly, and be prepared to make more significant changes whenever there's a major update to the AI platforms you use.

Is it better to use technical language or simple language in prompts?

It depends on your goal. Technical language can be more precise for specialized tasks, while simpler language often works better for general content creation. The key is clarity - use whatever language most clearly communicates your intent.

How can I ensure AI outputs match my brand voice?

Include specific instructions about tone, style, and vocabulary in your prompts. Providing examples of content that exemplifies your brand voice can also be extremely helpful. For consistent results, consider creating a "brand voice prompt template" that team members can use.

What's the difference between prompt engineering and prompt design?

Prompt engineering tends to focus on technical optimization - getting the AI to perform specific tasks accurately. Prompt design takes a broader view, considering user experience, workflow integration, and strategic objectives. Both are important for startups leveraging AI effectively.

How do I balance giving enough direction without being too restrictive?

Start with clear instructions about what you want, then add constraints only where they matter most. For creative tasks, specify the boundaries (tone, length, key points to include) while leaving room for the AI to generate novel ideas within those parameters.
Prompting