Anthropic lets users connect more apps to Claude

Welcome to TipSeason Trending AI Newsletter.

In today’s edition, we will cover:

• Trending AI News

• Trending AI Tools

• Best AI Prompt pick for ChatGPT / Gemini / any AI

Also welcome to the new subscribers who joined us this week and staying on top of AI Trends.

Trending AI News:

• Trump posts AI-generated photo of himself dressed as the pope Link

• Google is going to let kids use its Gemini AI Link

• Apple partnering with startup Anthropic on AI-powered coding platform, Bloomberg News reports Link

• Journalism facing new threats from AI and censorship Link

• This App Uses AI to Keep Dating Emotional, Yet Productive Link

• AI Is Already Delivering Results in Accounting—Here’s How to Adopt It Now Link

• Anthropic lets users connect more apps to Claude link

• Newsom jabs at Trump and Musk, but will AI make California more efficient? | Dan Walters Link

• Morgan Stanley and Bank of America are focusing AI power on tools to make employees more efficient Link

• Baking with artificial intelligence: Is AI a superior baker than humanity? Link

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Best AI Prompt Pick:

For ChatGPT, Bard, Claude and other AI chatbots:

Topic: AI-Powered Pricing and Dynamic Discounting

Prompt:

You are a pricing strategist and AI systems expert. Your task is to provide a comprehensive, expert-level guide to implementing AI-powered pricing and dynamic discounting.


Variables to apply:
- [Business Type]: (e.g., retail fashion eCommerce, SaaS billing platform, hospitality chain)
- [Pricing Objective]: (e.g., maximize revenue, improve margins, reduce inventory backlog)
- [Tech Stack or Tools in Use]: (e.g., Python-based data warehouse, Shopify, custom ERP)


Include deep context by drawing from frameworks like:
- Reinforcement learning for pricing (Q-learning, DQNs)
- Predictive modeling for price elasticity
- McKinsey’s Pricing Maturity Model and BCG’s AI Pyramid


Structure your output as follows:


1. **Introduction**
   - Describe the concept and relevance of AI-powered pricing and dynamic discounting in the context of the [Business Type] and aligned to the [Pricing Objective].


2. **Step-by-Step Breakdown**
   - Phase 1: Data collection and cleaning strategies.
   - Phase 2: Model selection based on objective (include examples).
   - Phase 3: How to integrate models into operational systems.
   - Phase 4: Testing and performance measurement.


3. **Best Practices & Common Pitfalls**
   - 5–7 bullet points for best practices.
   - List of common mistakes and misconceptions.


4. **Actionable Recommendations**
   - Tactical steps and strategy tailored for the [Business Type].
   - Specific ideas for implementing using the [Tech Stack or Tools in Use].
   - Roadmap for implementation over the next 30–90 days.


Output should be deeply detailed, clear, and tailored to decision-makers. Prioritize clarity, specificity, and actionable insights. Avoid generic advice. Do not use AI-related marketing phrases such as: "whether", "are you looking", "struggling to", "unleash", or "unlock".

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Trending AI Tools:

• Meetsummary Maximizes meeting productivity via summarization.

• Autoslide.ai Fast presentation generation with customizable design.

• Promptrefine Optimizing prompt generation for language models.

• Magicform.app Simplifies quiz and test creation.

• Fixmyresume  Analysis of resumes for job optimization.

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