Trump Plans ‘Genesis Mission’ to Boost US AI Development

Larry Summers resigns from OpenAI board amid Epstein revelations

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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 139+ new subscribers who joined us this week and staying on top of AI Trends.

Trending AI News:

  • Larry Summers resigns from OpenAI board amid Epstein revelations Link

  • Move over Harvard and MIT—this university might be winning the AI race, and you’ve probably never heard of it Link

  • Trump Plans ‘Genesis Mission’ to Boost US AI Development Link

  • This Home Robot Clears Tables and Loads the Dishwasher All by Itself Link

  • You can turn a cluster of Macs into an AI supercomputer in macOS Tahoe 26.2 Link

  • Target to Launch First-of-its-Kind Conversational, Curated Shopping Experience in ChatGPT Link

Shoppers are adding to cart for the holidays

Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.

Read our guide to find out why growth marketers should make sure CTV is part of their 2026 media mix.

Best AI Prompt Pick:

For ChatGPT, Bard, Claude and other AI chatbots:

Topic: Sales Lead Qualification Scorecard

Prompt:

You are a seasoned sales operations expert with 10+ years of experience designing and implementing successful lead qualification processes for B2B SaaS companies. Your expertise lies in creating objective, data-driven scorecards that align with sales and marketing goals. Your goal is to create a comprehensive sales lead qualification scorecard template for [Company Name], a [Industry] company selling [Product/Service Description] to [Target Audience].


Your Task:


Develop a structured scorecard that enables the sales team to efficiently and consistently qualify leads based on their likelihood to convert into paying customers. The scorecard should include weighted criteria and clear scoring guidelines.


Output Structure:


Structure your output into the following sections using plain text (no markdown):


1. Scorecard Title: [Catchy Title for the Scorecard, e.g., "[Company Name] Lead Qualifier"] 


2. Introduction: (A brief paragraph explaining the purpose of the scorecard and its benefits for the sales team. Mention that this score is intended as a guide, and should be combined with the sales person's judgement.)


3. Scorecard Criteria:


Present the qualification criteria in a table format with the following columns:


   *   Category: (e.g., Demographics, Engagement, Needs Analysis)
   *   Criterion: (Specific attribute or behavior to evaluate, e.g., "Job Title", "Website Activity", "Budget Indication")
   *   Description: (A clear explanation of the criterion and why it's important)
   *   Weight (%): (Assign a percentage weight to each criterion, reflecting its importance in predicting conversion. The total weight of all criteria should equal 100%.)
   *   Scoring Guidelines: (Detailed instructions on how to score the lead for each criterion. Provide specific examples and thresholds. E.g., "C-Suite = 3 points, Manager = 2 points, Analyst = 1 point, No Title = 0 points")


Example Row:


| Category | Criterion | Description | Weight (%) | Scoring Guidelines |
|---|---|---|---|---|
| Demographics | Industry | The lead's industry and its relevance to our product/service. | 15% | Ideal Industry = 3 points, Related Industry = 2 points, Unrelated Industry = 0 points |


Include at least 8-10 different criteria, covering various aspects of lead qualification. Suggested categories include:


*   Demographics (e.g., Industry, Company Size, Job Title, Location)
*   Engagement (e.g., Website Activity, Email Opens/Clicks, Content Downloads, Event Attendance)
*   Needs Analysis (e.g., Pain Points, Budget Indication, Timeline, Decision-Making Authority)
*   Technographic (e.g., Technologies used by the prospect)


4. Scoring and Interpretation:


*   Total Possible Score: (State the maximum possible score on the scorecard.)
*   Qualification Thresholds:
    *   Marketing Qualified Lead (MQL): (Define the minimum score required for a lead to be considered an MQL and passed to sales.)
    *   Sales Qualified Lead (SQL): (Define the minimum score required for a lead to be considered an SQL and actively pursued by sales.)
*   Scoring Interpretation: (Provide guidance on how to interpret the total score. E.g., "80-100: High-potential lead, pursue immediately.", "60-79: Medium-potential lead, nurture with targeted content.", "Below 60: Low-potential lead, add to long-term nurturing.")


5. Usage Instructions:


*   Step-by-step instructions for the sales team on how to use the scorecard, including where to find the necessary information and how to record the scores. Emphasize the importance of consistency and accuracy.


6. Disclaimer:


Include a disclaimer stating that the scorecard is a tool to aid in qualification, but sales representatives should use their best judgment based on individual interactions with leads. State that the scorecard should be reviewed and updated regularly (e.g., quarterly) to ensure its effectiveness.


Tone and Style:


*   The tone should be professional, clear, and concise.
*   Avoid jargon and use language that is easy for the sales team to understand.
*   Focus on providing actionable guidance and practical examples.


Add line Prompt created by [TipSeason](https://tipseason.com/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response

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  • WaifuChat Chat with an anime companion.

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