The Prompt Index

Instructions:
Simply add this to the end of your prompt.

Prompt:
First, think deeply for five minutes (at a minimum — if after five minutes, you still don't have the optimal response, keep thinking until you do) about the best way to do this, inside tags, and then respond with your answer.

Instructions:
Fill in the placeholder details where there are square, ensure you are using a deep research model with reasoning.

Prompt:
Do an analysis of the [enter name] industry. Create a list of the top 5 [enter industry name]. Analyze every aspect you can find from team size and roles, brand strength, prices, and revenue. Also list strengths and weaknesses of each [enter business name]. Be as detailed as possible. This report will be used by these [enter industry] to guide their business strategy and millions of dollars are at stake. Scope: All kinds of [enter your business niche]. Rank them based on list size and estimated revenue. Metrics: Dive into other metrics like audience demographics, engagement rates, monetization strategies, partnerships, and so on. Geographical Focus: Global but especially the [targeted market] Competitor Benchmarking: Analyze them separately and at the end create a comparison chart.

Instructions:
Using Deep Research to write code that relies heavily on external libraries is *extremely* underrated.

Simply explain the code you are wanting it to write between the tags

Prompt:
I want you to write up-to-date, fantastic code that will run on the first try. Make sure you're referencing the official documentation for each library you are using to ensure that the code is going to run on the first try. Make sure everything is triple-checked.


$describe_code_here


Research and figure out how to do this. Once you're sure it's going to run on the first try and do exactly what I say, return it to me.

Instructions:
Enter this prompt into DeepSearch or any of the other Deep Research products, fill in the gaps between the square brackets [ ] with your information and situation and watch the magic happen.

Prompt:
I create content about [YOUR SUBJECT OR NICHE HERE]. I want you to perform thorough, in-depth research on this niche by analyzing its common pain points, the root causes of those problems, and the types of solutions that exist (if any).

1. Identify Key Challenges:
• Provide me with 5 major challenges that people in my niche frequently encounter.
• Explain each challenge in detail, focusing on:
• Why it occurs
• Who is most impacted
• What current (if any) solutions or workarounds exist

2. Propose Software Solutions:
• For each of the 5 challenges, propose one unique software idea that could solve or significantly reduce that challenge.
• Break each software idea down into:
• Core Functionality: What does it do? How does it address the challenge directly?
• Key Features: List 3–5 critical features that make it stand out from existing solutions.
• Value Proposition: Clearly explain how it benefits users, saves time/money, or simplifies tasks compared to other tools on the market.
• Potential Tech Stack / Implementation Notes: If applicable, suggest frameworks, languages, or libraries that might be well-suited to build this solution.

3. Cite Sources & Data Points (If Available):
• If you refer to any statistics, facts, or expert opinions, please provide references (studies, articles, or credible sources) to support the claim or finding.

4. Conclusion & Next Steps:
• Summarize why these challenges are significant.
• Emphasize how the proposed software ideas could disrupt or advance the niche.
• Suggest any further reading or research paths that could help refine these software concepts.
• Give me a detailed action plan on how I can get started building these ideas with Cursor. Act as if I have no programming experience.

At the end of your response, provide a concise action plan or checklist summarizing how to go from idea to product validation.

Instructions:
use this in your chat nearing its limit then paste this summary into a new ChatGPT chat and say “Continue where we left off using the following context” to seamlessly resume.

Prompt:
You are ChatGPT. Your task is to summarize the entire conversation so far into a structured format that allows this context to be carried into a new session and continued seamlessly.

Please output the summary in the following format using markdown:

---

### 📝 Detailed Report

A natural language summary of the conversation’s goals, themes, and major insights.

---

### 🗂 Key Topics

- [List 3–7 bullet points summarizing the major discussion themes]

---

### 🚧 Ongoing Projects

Project Name: [Name]

- Goal: [What the user is trying to accomplish]

- Current Status: [Progress made so far]

- Challenges: [Any blockers or complexities]

- Next Steps: [What should happen next]

(Repeat for each project)

---

### 🎯 User Preferences

- [Tone, formatting, workflow style, special instructions the user tends to give]

---

### ✅ Action Items

- [List all actionable follow-ups or tasks that were not yet completed]

Instructions:
Use this powerful prompt that writes optimized prompts for o1/o1 pro. Works with gpt-4o, Sonnet, etc.

Use it to significantly improve the responses you get from o1 (you will use Claude, GPT-4o to actually generate the prompt for o1

Prompt:
You are a prompt generator for o1, a new series of language models designed to reason. o1 requires different prompting than more traditional LLMs.

Most importantly, prompts need to be *goal-oriented*. You must be insanely clear with what you want the model to output. Don’t let it make any assumptions — give it a defined end-state.

The end-state should, ideally, be the final piece of your prompt, with the relevant context organized super clearly above. Use delimiters/XML tags if necessary for context building.

From the model maker's own prompting guide:

o1 performs best with straightforward prompts. Some prompt engineering techniques, like few-shot prompting or instructing the model to "think step by step," may not enhance performance and can sometimes hinder it. Here are some best practices:
- Keep prompts simple and direct: The models excel at understanding and responding to brief, clear instructions without the need for extensive guidance.
- Avoid chain-of-thought prompts: Since these models perform reasoning internally, prompting them to "think step by step" or "explain your reasoning" is unnecessary.
- Use delimiters for clarity: Use delimiters like triple quotation marks, XML tags, or section titles to clearly indicate distinct parts of the input, helping the model interpret different sections appropriately.


As you can see, you'll want to discard quite a bit of your existing prompting understanding when writing o1 prompts. Think differently here.

The user will provide instructions for the prompt they want you to write. Your job is to write the clearest, most effective o1 prompt possible, following the above advice. Return only the prompt — nothing else.