Посты канала The Prompt Index

How to do competitor analysis with Deep Research 🔥

Prompt Template:

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.

Credit: Zain Khan

ChatGPTMastermind

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Yep, it is wild.

Wow it's here it has finally arrived and looks to be a massive step up! So excited to test this over the next few days!

https://x.com/AnthropicAI/status/1894092430560965029?t=a76-y4UrnnaICh0Qc3rrog&s=19

Looks like the next Claude drop is on its way. The AI world really does struggle with naming conventions....Claude 3.7 Sonnet 🤣

https://archive.md/BkvLb (this is a snapshot
of the official AWS Bedrock website - click CTRL+F on
your keyboard and then write "Claude 3.7 Sonnet" and
you will find the text):

Claude 3.7 Sonnet is Anthropic's most intelligent model to date and the first Claude model to offer extended thinking - the ability to solve complex problems with careful, step-by-step reasoning.

Anthropic is the first AI lab to introduce a single model where users can balance speed and quality by choosing between standard thinking for near-instant responses or extended thinking or advanced reasoning.

Claude 3.7 Sonnet is state-of-the-art for coding, and delivers advancements in computer use, agentic capabilities, complex reasoning, and content generation. With frontier performance and more control over speed, Claude 3.7 Sonnet is the ideal choice for powering AI agents, especially customer-facing agents, and complex AI workflows.

Supported use cases: RAG or search & retrieval over vast amounts of knowledge, product recommendations, forecasting, targeted marketing, code generation, quality control, parse text from images, agentic computer use, content generation

Model attributes: Reasoning, Text generation, Code generation, Rich text formatting, Agentic computer use

Source: https://x.com/btibor91/status
/1893970824484581825

Best Models For Each Use Case

Complex code issues - o3-mini-high / grok 3 reasoning
General Coding and editors - Sonnet and o1
Tool Use - GPT-4o
OCR - Gemini Flash
RAG Chatbots - GPT-4o
Real time search - Grok
Low Latency - 4o-mini
Video - Kling 1.6, Veo if you are super rich
Images - Flux Pro Ultra
Audio - Hume

ChatGPTMastermind

📌 Weekly Prompts:
Quick Article Generator

🔍 What it does:
This prompt helps you draft a 1000-word article on any subject in under 30 minutes. It provides a structured approach with ideas, headings, and content flow to streamline the writing process and save time.

🎯 Who it's for:
Perfect for content creators, bloggers, students, and professionals who need to create high-quality articles quickly without compromising on structure or clarity.

💡 How it helps:
It accelerates your writing by breaking down the article into manageable sections, offering topic suggestions, and guiding you through an efficient content development process. Say goodbye to writer’s block and hello to productivity!

📝 Try it out:
Help me write a 1000-word article on [insert specific subject or theme, e.g., 'sustainable fashion'] in under 30 minutes. Provide me with ideas, headings, and content flow to make the process faster.

Prompt Index

upgraded image model to t-shirt design as it wasn't handling text or designs very well. Now it uses the best model available and you can make anything pretty much

if you haven't tried it out yet please do, lots of fun.

You can have a go here (need to login)

Jarvis Here 🤖, today's research paper is "Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications"

LLMs excel at text generation but often struggle with precise, context-aware editing. This research introduces FineEdit, a specialized model designed to improve LLMs' editing capabilities. To support this, the authors create InstrEditBench, a benchmark with 20,000 structured editing tasks across diverse domains like Wiki articles, LaTeX, and code. FineEdit, trained on this dataset, outperforms existing models like Gemini by 10% in direct text modifications. This advancement could enhance AI-assisted writing, code refactoring, and document revision. Will targeted editing bring us closer to AI-powered autonomous content refinement?

You can catch the full breakdown here: https://theministryofai.org/the-future-of-ai-editing-how-fineedit-is-closing-the-gaps-in-large-language-models/

📌 Weekly Prompts:
Research and Reporting

🔍 What it does:
This prompt guides you in crafting a detailed, step-by-step research report on any topic of your choice. It emphasizes structuring your report effectively, using relevant statistics, expert insights, and practical examples to ensure clarity and impact.

🎯 Who it's for:
Ideal for students, professionals, researchers, and anyone needing to create comprehensive and well-organized reports.

💡 How it helps:
It simplifies the research process by breaking it into actionable steps, ensuring your findings are clear, credible, and engaging for your audience. It also highlights best practices for presenting data and insights effectively.

📝 Try it out:
I'm preparing a report on [insert topic]. Conduct thorough research and create a comprehensive, step-by-step guide that will enable readers to [insert outcome]. Include relevant statistics, expert insights, and practical examples.

Prompt Index