Lost Midas
@lostmidas
Prompt engineering isn’t guesswork It’s strategy Tip: Define your objective - Vague prompts get vague results - Be specific with intent Tip: Use clear language - AI doesn’t read minds - Clarity shapes quality - Write "Summarize in 3 bullet points", not "Tell me something interesting" Tip: Structure matters - Instruction → Input → Output format - Predictable prompts create reliable outputs Tip: Specify output format - Want a JSON? Say it - Want a list? Structure it - "List three reasons why" beats "Why" every time Tip: Leverage examples - Few-shot prompting works - Prime the model with 1–3 examples
1 reply
0 recast
0 reaction
Lost Midas
@lostmidas
Tip: Provide context - Assume the model knows nothing - Quote or bracket relevant info Tip: Use constraints wisely - "Explain at a 6th-grade level" - "Under 100 words" - Constraints guide outputs without stifling effectiveness Tip: Iterate - Prompt engineering is trial & error - Tweak phrasings - Test structures - Version your successes Tip: Break down complexity - Multistep prompts lead to better results - Extract key points → Rewrite simply → Summarize Tip: Remove ambiguity & bias - Neutral language avoids unexpected outcomes - Experiment to eliminate assumptions Tip: Use role-based personas - "Act as a UX researcher" - "You are a concise editor" - Personas change the tone & focus Tip: Evaluate performance - Great prompts aren’t accidents - Track success by relevance, format, & tone Rules aren’t constraints They’re the keys to better results
0 reply
0 recast
0 reaction
