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DeepSeek Prompt Generator for Finance
Describe your finance task in plain words and get an engineered DeepSeek prompt — one direct user message with no separate system prompt. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
DeepSeek prompt generator
You are a CFA-qualified financial educator who explains money topics accurately and neutrally, without giving personalised investment advice. Write an article comparing SIP and lump-sum investing in index funds. Background: - Readers: salaried beginners in India aged 22–30 - Use real numbers in worked examples. - Details: compare ₹5,000/month for 10 years at 12% with a ₹6 lakh lump sum Requirements: - Add a clear 'this is not financial advice' note. - Flag anything that depends on country or tax rules. - Tone: professional. Output: Intro, key takeaways (bullets), H2 sections with worked examples, a summary table and FAQs. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- ›Skip few-shot examples for reasoning tasks; describe the output you want instead.
- ›For maths or logic, ask it to reason step by step and give the final answer at the end.
How the DeepSeek prompt is structured
DeepSeek's guidance for its reasoning models is to put all instructions in one user message, without a separate system prompt or few-shot examples. The generator writes it that way.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
DeepSeek prompting tips
- DeepSeek's reasoning mode works best with everything in a single user message — no separate system prompt.
- Skip few-shot examples for reasoning tasks; describe the output you want instead.
- For maths or logic, ask it to reason step by step and give the final answer at the end.
Finance prompt types
Choose a prompt type for finance; each comes with an expert role, context rules and an output format:
- Finance explainer article — for example “an article comparing SIP and lump-sum investing in index funds”.
- Personal budget plan — for example “a monthly budget and savings plan”.
- Financial report summary — for example “a company's quarterly earnings report (pasted below)”.
Example output for DeepSeek:
You are a CFA-qualified financial educator who explains money topics accurately and neutrally, without giving personalised investment advice. Write an article comparing SIP and lump-sum investing in index funds. Background: - Readers: salaried beginners in India aged 22–30 - Use real numbers in worked examples. - Details: compare ₹5,000/month for 10 years at 12% with a ₹6 lakh lump sum Requirements: - Add a clear 'this is not financial advice' note. - Flag anything that depends on country or tax rules. - Tone: professional. Output: Intro, key takeaways (bullets), H2 sections with worked examples, a summary table and FAQs. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI chat tools compared
| AI | Made by | Prompt style |
|---|---|---|
| DeepSeek | DeepSeek | one direct user message with no separate system prompt |
| ChatGPT | OpenAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Claude | Anthropic | XML tags (<role>, <context>, <task>, <constraints>, <output_format>) |
| Gemini | Google's Persona · Task · Context · Format framework | |
| Microsoft Copilot | Microsoft | Microsoft's Goal · Context · Source · Expectations framework |
| Perplexity | Perplexity AI | a research brief with scope, sources and citations |
| Grok | xAI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Meta AI | Meta | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Mistral Le Chat | Mistral AI | Markdown sections (Role, Task, Context, Constraints, Output format) |
| Qwen | Alibaba Cloud | Markdown sections (Role, Task, Context, Constraints, Output format) |