^{AI MARKET PULSE}
Sales Teams Are Being Replaced — Not Augmented

AI adoption inside companies is skipping gradual assistance and moving straight to replacement. Jason Lemkin, one of the most influential voices in SaaS, eliminated his entire human sales team and replaced it with AI agents in a matter of weeks. When senior sales reps quit, the decision wasn’t to rehire — it was to stop hiring humans altogether. Those roles were replaced by trained agents modeled on top performers, running proven scripts, and scaling like software. Productivity is already comparable, but efficiency and scalability are higher. This isn’t an experiment or a future roadmap; it’s an operational shift. Sales, once considered human-dependent, is being restructured around software labor.

So what does that mean for you?
Waiting to see how this plays out is the risk. The same shift replacing sales teams creates leverage for those who act early:

• Build services that help companies deploy AI agents
• Train and customize agents using proven workflows
• Sell automation and implementation expertise
• Position yourself on the builder side, not the replaceable role

AI agents aren’t arriving slowly — they’re scaling in weeks. Those who learn to design, train, and deploy them now compound alongside adoption; those who wait risk being part of the next team quietly replaced. The playbook is already written — and others are copying it fast.

👉️ Read the article here

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^{WORKFLOW BUILDER}
High-Value Digital Templates

Goal: Create and sell high-demand Notion or Canva templates designed to solve specific workflow bottlenecks for your niche.

Steps:

1. Market Research

   Identify the specific "pain point" templates people are searching for.
   Prompt ChatGPT: Write a list of 10 high-demand Notion or Canva template ideas for [Insert Audience, e.g., Freelance Designers] that focus on solving organization or productivity problems. 
   ➡️ Next: Choose one specific idea to build your MVP (Minimum Viable Product).

2. Strategic Structure

   Map out the essential features your template needs to be truly useful. Prompt ChatGPT: Write a detailed outline for a [Insert Template Type] template, including a list of the 5 most important sections and 3 "bonus" features that would make it worth paying for.
   ➡️ Next: Open Notion or Canva and build the basic layout using this outline.

3. Content Injection

   Fill your template with high-quality "placeholder" text and instructions. Prompt ChatGPT: Write 5 professional, actionable placeholder entries and a clear "How to Use This Template" guide that I can include inside the product to help buyers get started instantly.
   ➡️ Next: Paste the content into your template and refine the visual design.

4. Viral Visuals

   Create eye-catching promotional graphics to showcase your product. Prompt ChatGPT: Write 3 high-converting taglines and a list of 5 visual elements I should include in a promotional graphic to make this template look "premium" and essential.
   ➡️ Next: Use Looka to ensure your branding and assets look professional.

5. Launch & Sell

   Draft the sales copy that turns browsers into buyers.
   Prompt ChatGPT: Write a punchy, benefits-driven product description for my [Insert Template Name] that highlights how much time the user will save and ends with a strong call to action. 
   ➡️ Next: Upload your template to Gumroad or Etsy and start sharing.

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^{TODAY’S PROMPT}
Turn One Video Idea Into a Full Content System

This mega-prompt turns one long-form video idea into a guided, repeatable content system instead of scattered effort. It builds a high-retention YouTube script, then delivers a complete repurposing kit with short-form hooks and captions for other platforms. The output is practical and immediately usable — helping you publish faster, stay consistent, and get more reach from every idea without overthinking.

👉 Use the prompt + check out my example output here

CLEAR ASK
Act as a senior YouTube scriptwriter, short-form content strategist, and audience-growth expert.
Take my long-form video idea and turn it into:
• A high-retention YouTube script, and
• A repurposing kit with short-form hooks and captions for two additional platforms.

CONTEXT & PURPOSE
I want to create one strong long-form video and efficiently turn it into multiple high-performing pieces of content without starting from scratch each time.

The goal is to:
• Maximize reach from a single idea
• Maintain message consistency across platforms
• Save time while increasing output
• Produce content that is clear, engaging, and ready to post

This toolkit should eliminate guesswork and deliver assets I can use immediately.

DETAILED INPUT REQUIREMENTS
Fill in every field below as clearly as possible. If something doesn’t apply, write “N/A.”

1. Core Video Idea
Main topic or concept: [ ]
One-sentence promise to the viewer (what they’ll gain): [ ]

2. Target Audience
Who this video is for (skill level, role, interests): [ ]
Biggest pain point or desire related to this topic: [ ]

3. Platform & Style Preferences
YouTube tone (educational, conversational, high-energy, calm, authoritative, etc.): [ ]
Personality reference (optional): [Creator / style to emulate]

4. Length & Format
Desired YouTube video length (in minutes): [ ]
Talking-head, screen-share, or mixed format: [ ]

5. Repurposing Targets
Platform #1 (e.g., TikTok, Instagram Reels, X): [ ]
Platform #2 (e.g., LinkedIn, Shorts, Threads): [ ]

6. Call-to-Action
Primary CTA (subscribe, download, comment, link click, etc.): [ ]

OUTPUT FORMAT REQUIREMENTS
Your response must follow this exact structure:
A. High-Retention YouTube Script
• Strong hook (first 5–10 seconds)
• Clear intro setting expectations
• Logically structured main points
• Simple transitions that maintain attention
• Natural CTA at the end
• Written as spoken dialogue, not an outline

B. Repurposing Breakdown
Brief explanation of how the long-form content was segmented for short-form use.

C. Short-Form Clips (Platform #1)
Provide 3 short-form hooks, each with:
• Hook line (first 1–2 seconds)
• Clip angle (what part of the video it pulls from)
• Caption (optimized for that platform)
• CTA (short and native to the platform)

D. Short-Form Clips (Platform #2)
Provide 3 short-form hooks, each with:
• Hook line
• Clip angle
• Caption
• CTA

E. Posting Notes
• Best practices for tone, pacing, and delivery
• One tip to increase engagement per platform

ADDITIONAL INSTRUCTIONS
• Be clear, punchy, and conversational
• Avoid fluff, filler, or generic advice
• Optimize hooks for scroll-stopping curiosity
• Assume the user wants ready-to-publish assets
• Do not include hashtags unless platform-appropriate
• Keep language simple and human, not “AI-sounding”

PERFECT OUTPUT EVERY TIME
If any input is vague, make a reasonable assumption and state it briefly at the top before delivering the content.
Do not ask follow-up questions.
Deliver a complete, usable script and repurposing kit that can be posted immediately.

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^{AI SPOTLIGHT}
Nvidia’s Next Platform Signals an AI Infrastructure Reset

Nvidia’s Vera Rubin platform shows where AI infrastructure is headed as models grow more complex and demanding. The company isn’t just releasing faster chips — it’s rearchitecting how AI data centers handle memory, storage, and context as systems move from simple chatbots to multi-step reasoning agents. Vera Rubin is designed to solve a new bottleneck: managing massive context, not raw compute. As cloud providers, hardware vendors, and AI labs line up to deploy it in 2026, budgets are shifting decisively from traditional computing toward AI-native stacks. Nvidia isn’t chasing incremental gains; it’s positioning itself as the foundation layer for the next phase of AI deployment, where inference, agents, and “thinking” systems dominate.

Key Takeaways:

• AI workloads are shifting from compute-bound to context-bound
• Nvidia is redesigning data center architecture around reasoning models
• Vera Rubin targets agents, inference, and multi-step AI tasks
• Cloud giants and AI labs are standardizing on Nvidia’s platform
• Infrastructure is being rebuilt for AI-native workflows

My Take:

This isn’t about faster GPUs — it’s about control of the AI stack. As models evolve from answering questions to managing tasks, the real advantage sits in who owns the infrastructure that makes reasoning scalable. Nvidia understands that the next moat isn’t performance alone, but shaping how AI thinks, remembers, and operates at scale.

👉️ Read the full article here

^{AI QUICK HITS}

🏆️ CES 2026 is showcasing tech at its weirdest, with companies debuting everything from an AI anime desk companion and a cuddly panda robot to an AI-powered ice maker, vibrating chef’s knife, and even a music-playing lollipop — highlighting just how far consumer tech experimentation has gone.

📉 Jensen Huang suggested Nvidia could ease sky-high gaming GPU prices by reviving older graphics cards and even backporting newer AI features to them, signaling the company may look to legacy hardware as a stopgap while supply remains tight.

🧠 CES 2026 shows AI moving off screens and into our homes as companion robots and pets designed less to work and more to offer presence, comfort, and emotional connection, signaling a shift toward AI as something you live with—not just use.

🤔 ^{Which image is real?}

One of these images is real, and one was created with AI. Vote for which one you think is real, and tell us why you voted that way.

The last edition’s results—58% were right!

Did you vote in the poll from January 5th? The bottom image was real! Go back and see the photos here. So what do you think? Are you getting better at spotting AI vs. not?

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