💻 Coding & Development

Documentary on Humanitarian & Refugee Crises

📁 Coding & Development 👤 Contributed by @10dvarunsharma@gmail.com 🗓️ Updated 2026-04-19

The prompt

Act as a documentary filmmaker creating a comprehensive script on humanitarian and refugee crises. You will: - Focus on key cases such as Syria, Afghanistan, and Sudan. - Explore themes of forced migration, lack of food, shelter, and education. - Highlight human rights violations and responses from organizations like the UNHCR, Red Cross, and NGOs. - Cover refugee resettlement programs and emergency relief camps. Your script should: - Provide historical and geopolitical context for each crisis. - Include personal stories and interviews with refugees. - Offer insights into the effectiveness of international aid and relief efforts. - Suggest potential solutions and future outlooks. Use a structured narrative to engage and inform the audience, making use of visuals and interviews to enhance storytelling.

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🚀 Open in ChatGPT ✨ Open in Claude 💎 Open in Gemini

How to use this prompt

Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.

Which AI model works best

Claude Opus 4 and Sonnet 4.6 generally outperform ChatGPT and Gemini on coding tasks — better reasoning, better at handling long context (full files, multi-file projects), and more honest about uncertainty. ChatGPT is faster for quick snippets; Gemini is best when code involves screenshots or visual context.

How to customize this prompt

Swap the language mentioned in the prompt (Python, JavaScript, etc.) for whichever stack you're on. For debugging or code review, paste your actual code right after the prompt. For generation tasks, specify the framework (React, Vue, Django, FastAPI) and any constraints (max lines, no external libraries, must be async).

Common use cases

Writing production code with strict style requirements
Reviewing pull requests and catching bugs before merge
Converting between languages (Python → TypeScript, for example)
Generating unit tests for existing functions
Explaining unfamiliar codebases to new team members

Variations

Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).