AI Tips & Best Practices
Discover practical tips to maximize your AI productivity and get better results from AI tools
Be Specific and Contextual
When writing prompts, include specific details about what you want. Instead of "write a report," try "write a 500-word quarterly sales report for Q4 2023 focusing on revenue growth and customer acquisition."
Example:
Bad: "Summarize this" Good: "Summarize this article in 3 bullet points highlighting the main arguments and key statistics"
Use AI for Repetitive Tasks
Identify tasks you do repeatedly and create templates or prompts for them. This can save hours each week on emails, reports, and data analysis.
Example:
Create email templates for common scenarios, use AI to draft first versions, then personalize.
Break Down Complex Questions
For complex analysis, break your question into smaller parts. Ask the AI to analyze each component, then synthesize the results.
Example:
Instead of one large query, use: "First, identify trends. Second, find anomalies. Third, suggest actions."
Iterate and Refine
Don't settle for the first AI output. Ask for revisions, different tones, or alternative approaches to get the best result.
Example:
After getting initial content, try: "Make this more concise" or "Rewrite for a technical audience"
Provide Context and Constraints
When asking for code, specify your tech stack, coding style, and any constraints. This leads to more usable solutions.
Example:
Include: language version, framework, performance requirements, and coding standards.
Use AI as a Research Assistant
Leverage AI to quickly gather information, identify key sources, and create research outlines before diving deep.
Example:
Ask: "What are the top 5 recent studies on [topic]? Summarize their methodologies and key findings."
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