Most professionals write to communicate — but unclear writing communicates less than intended, and sometimes the opposite. Here's how to use AI tools to systematically improve the clarity, confidence, and impact of everything you write at work.


10 Prompt Engineering Techniques Every Developer Should Know
Sarah Chen
March 5, 2024
Beyond Simple Chatting
For a developer, a prompt isn't just a question; it's a function call where the LLM is the execution engine.
1. Few-Shot Prompting
Providing examples is the most effective way to guide an LLM's output format and style.
Input: Translate "Hello" to French. Output: Bonjour Input: Translate "Goodbye" to French. Output: Au revoir Input: Translate "AI is great" to French. Output:
2. Chain of Thought (CoT)
Asking the model to "think step by step" reduces hallucinations and improves logical reasoning significantly.
3. The Delimiter Strategy
Use clear delimiters like triple quotes (""") or XML tags to separate instructions from the content being processed.
This prevents "prompt injection" where the user input might contain commands that confuse the model.
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AI writing tools aren't just productivity tools — they're competitive tools. Here's how professionals and freelancers who use them systematically pull ahead, and what to do to make sure that's you.
Professionals and freelancers need AI tools that cover the full range of business writing — from emails and reports to proposals and career documents. Here's a practical map of every Typely tool that matters for your professional workflow.

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