Your AI Agent is just a prompt away

Craft better prompts

Well-designed prompts help you get more precise and useful responses from your AI agents.

General prompt patterns

Basic structure

An effective prompt typically includes:

[Task/Request] + [Specifics] + [Format/Output preferences]

Example: “Summarize this quarterly report, focusing on revenue trends and customer acquisition metrics. Present your analysis with bullet points for key findings and a short paragraph for implications.”

Context setting

Provide relevant background information:

[Situation/Context] + [Task/Request] + [Purpose]

Example: “I’m preparing for a job interview at a financial technology company for a product manager role. Help me prepare 5-7 questions I could ask the interviewer that demonstrate my knowledge of the fintech industry and my interest in their business model.”

Role assignment

Specify how the agent should approach the task:

Act as [role/expert] and [task/request]

Example: “Act as an experienced copywriter specializing in email campaigns and review this draft newsletter. Suggest improvements to increase open rates and engagement.”

Step-by-step guidance

Request detailed walkthrough:

Guide me through [process] step by step, explaining [specific aspects]

Example: “Guide me through creating a basic data visualization in Python step by step, explaining the purpose of each line of code. I’m a beginner with programming but understand basic concepts.”

Task-specific examples

Research
Writing
Problem solving
Creative

Topic exploration:

Provide an overview of [topic], covering:
Key concepts and definitions
Historical development
Current state of research
Major debates or unsolved questions
Practical applications

Comparative analysis:

Compare and contrast [A] and [B] in terms of:
- Core principles
- Strengths and limitations
- Use cases
- Implementation considerations

Academic literature:

Summarize the current research on [topic], highlighting:
- Major findings from the last 3-5 years
- Methodological approaches
- Gaps in the literature
- Directions for future research

Content outline:

Create a detailed outline for a [content type] about [topic] targeting [audience]. Include:
- Suggested headline options
- Key sections with bullet points for main ideas
- Data points or examples to include
- Call to action suggestions

Revision request:

Review this [content type] for:
- Clarity and flow
- Engagement and persuasiveness
- Grammar and style consistency
- Alignment with [specific goal]

Suggest specific improvements rather than general comments.

Style adaptation:

Rewrite this content to match [brand/publication] style. Pay particular attention to:
- Tone of voice
- Sentence structure and length
- Vocabulary choices
- Formatting conventions

Decision framework:

Help me make a decision about [choice] by:
Listing key factors to consider
Analyzing pros and cons of each option
Identifying potential risks and how to mitigate them
Suggesting evaluation criteria
Outlining next steps regardless of which option I choose

Troubleshooting:

I'm having an issue with [problem]. Symptoms include:
- [symptom 1]
- [symptom 2]

I've already tried:
- [attempted solution 1]
- [attempted solution 2]

Help me diagnose the root cause and suggest solutions.

Process optimization:

Review this workflow for [task]:
[current process]

Suggest improvements to make it more efficient while maintaining quality, considering:
- Potential bottlenecks
- Redundant steps
- Automation opportunities
- Resource optimization

Ideation prompt:

Generate 10 unique ideas for [project/content] with the theme of [theme]. For each idea, provide:
- A compelling title/concept
- A brief description (2-3 sentences)
- What makes this idea stand out

Aim for a mix of conventional and unexpected approaches.

Character development:

Help me develop a character for [story/game] with:
- Background: [brief context]
- Role in story: [function]

Create their:
- Personality traits and quirks
- Motivations and goals
- Key relationships
- Internal and external conflicts
- Character arc possibilities

Creative constraints:

Create a [creative work] that:
- Is set in [setting/context]
- Includes [required elements]
- Avoids [elements to exclude]
- Follows the principle of [concept/theme]
- Has a [tone/mood] atmosphere

Format-specific prompts

Data analysis

Analyze this dataset of [description]:
[data or file]

Please provide:
1. Summary statistics for key variables
2. Identification of notable patterns or outliers
3. Visualization recommendations
4. Potential correlations worth exploring
5. Limitations of this analysis

Code generation

Write a function in [language] that:
- Takes inputs: [parameters]
- Performs: [functionality]
- Returns: [output]
- Handles these edge cases: [exceptions]

Include comments explaining the approach and any non-obvious parts.

Learning materials

Create learning materials about [topic] for [audience level]:

Key concept explanation with analogies
Step-by-step tutorial for [specific task]
Common misconceptions and clarifications
Practice exercises with increasing difficulty
Application examples in real-world contexts

Feedback formulation

Help me provide constructive feedback on this [work]:
[content]

Structure the feedback as:
- Strengths: What works well
- Areas for improvement: Specific suggestions
- Questions: Points to clarify
- Next steps: Actionable recommendations

The tone should be supportive but honest.

Refining responses

If you’re not satisfied with an initial response, try these follow-up prompts:

When you need	Try asking
More depth	”Could you expand on [specific point] with more detail?”
Simplification	”Please explain that more simply, as if to someone new to the subject.”
Different perspective	”How would someone with [different viewpoint/background] approach this?”
Practical application	”Could you provide specific examples of how to apply this in [context]?”
Evidence	”What data or research supports these conclusions?”
Alternatives	”What are some alternative approaches or interpretations?”

Instead of starting over with a new prompt, build on the conversation by refining your request iteratively.

Next steps

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Prompt Examples

Craft better prompts

General prompt patterns

Task-specific examples

Format-specific prompts

Data analysis

Code generation

Learning materials

Feedback formulation

Refining responses

Next steps

Productivity Hacks

​Craft better prompts

​General prompt patterns

​Task-specific examples

​Format-specific prompts

Data analysis

Code generation

Learning materials

Feedback formulation

​Refining responses

​Next steps

Productivity Hacks

Craft better prompts

General prompt patterns

Task-specific examples

Format-specific prompts

Refining responses

Next steps