To generate a video within Gemini: - Start a new chat (just like ChatGPT) - Describe your video in the prompt input box (just like ChatGPT) - Click “Video” in bottom bar, so that it appears blue - Wait 2 minutes for the video to render ———— Prompts ———— But, you still need strong prompts to get usable video. Below are 2 prompts that I showcased in the youtube tutorial. Copy/paste the prompt into ChatGPT (or Gemini), asking AI to update the prompt with your desired content: A close-up, cinematic selfie shot showing Peter Pan sitting on a mossy log deep in the forest, talking directly into the camera about the importance of learning how fair dust works. Peter Pan is animated and inspiring, gesturing as she speaks, with a friendly, approachable smile. In the background, a group of fluffy baby Samoyeds play together, tumbling over each other with their tails wagging. One puppy gently nudges another with its nose, while another pauses, tongue out, gazing curiously at a butterfly. Soft, dappled sunlight filters through tall pine trees, illuminating Sabrina and the playful puppies. The lens is a portrait lens with creamy bokeh, focusing attention on Sabrina’s expression while the joyful scene unfolds behind her. POV is a static tripod. Audio features Peter Pans clear, enthusiastic voice, joyful puppy barks, gentle rustling of leaves, and distant birdsong. The background includes lush green moss, scattered wildflowers, and towering tree trunks. To achieve the best results, I suggest including specific references in your prompts. The more specific the action, camera, and style cues, the better your results. Here are examples: - Scene pacing: rapid montage of city life at sunrise - Actor types: eccentric elderly inventor with a mischievous grin - Camera moves: overhead drone shot sweeping across coastline - Specific decade or genre: 1980s cyberpunk action sequence - Lighting details: golden hour sunlight streaming through blinds - Lens types & effects: shot on wide-angle lens with soft focus - Soundscape cues: subtle ambient rain with distant thunder - Color palette/style: muted pastel tones like Wes Anderson film - Editing techniques: jump cuts between characters’ reactions - Wardrobe or prop references: character in vintage NASA suit - Framing/composition: symmetrical center-framed close-up - Environmental specifics: fog rolling over neon-lit city - Mood/tone direction: whimsical and playful, similar to Pixar - Weather/atmosphere: snow falling under streetlights at night

Use the prompt below to turn any image into glass! Prompt: ================= Retexture the image attached based on the json below: { "style": "photorealistic", "material": "glass", "background": "plain white", "object_position": "centered", "lighting": "soft, diffused studio lighting", "camera_angle": "eye-level, straight-on", "resolution": "high", "aspect_ratio": "2:3", "details": { "reflections": true, "shadows": false, "transparency": true } } =================

Here’s a simple two-step method that uses ChatGPT and image analysis to generate premium product images with zero design skills required. Step 1: Analyze the Photography Style Upload a reference photo that reflects the style you want (lighting, mood, background, etc.). Then, ask ChatGPT to break it down using this prompt: ============= “Analyze the style of this photo like a professional art director. Describe the lighting, mood, background, angle, focal length, depth of field, and any unique visual characteristics that define the photography style. Then give me a detailed image generation prompt I can use to recreate this same look.” ============= This gives you a clear style blueprint for your visuals. Step 2: Generate a Styled Product Image Next, upload a clean image of your product—ideally on a plain background. Then give ChatGPT this prompt: =============== “Using the photography style you just described, generate a new image featuring this product. Match the lighting, composition, background, and mood of the original photo—just replace the subject with this product image.” ================ ChatGPT will now combine the style of your reference image with your product, creating a custom, high-end photo. Why This Works - It reverse-engineers the visual style rather than guessing. - You avoid generic mockups or clashing templates. - The result matches your brand’s tone, mood, and aesthetic. Use your final image for: - Product listings - Instagram or Pinterest content - Website headers - Ad creatives No studio. No Photoshop. No expensive shoots. Just ChatGPT, a photo you like, and your product.

Most business owners aren’t stuck because of strategy. They’re stuck because of untested assumptions. Beliefs like: - “People will leave if I raise prices.” - “My audience hates being sold to.” - “Paid ads don’t work anymore.” - “Selling high-ticket feels sleazy.” - “I need a big team to scale.” - “If I’m not busy, I’m not productive.” These aren’t facts—they’re assumptions. And they silently shape your pricing, offers, marketing, and workload. This is Success Sabotage by Assumption™ (not trademarked, but maybe it should be). Here’s how to fix it: Stop treating your beliefs like laws. Start treating them like hypotheses. Challenge them. Pressure test them. Use tools that push back. If you want a fast way to do that, use this prompt in ChatGPT: ============================== “You are now The BS Filter™ – my brutally honest thinking partner. Your job? Push back on my beliefs through productive disagreement – not just to argue, but to help me think sharper and make smarter decisions. I’m about to give you a belief or strategy I currently hold. I want you to challenge the hell out of it by: - Pointing out logical flaws or blind spots - Bringing up evidence or examples that contradict it - Offering strong counter-arguments from credible thinkers - Highlighting any ethical issues, assumptions, or consequences Your goal is to make me sweat a little. Force me to either: Back it up with better reasoning, or Ditch or upgrade the belief entirely. Don’t hold back. Be sharp, be blunt, be useful. Here’s the belief I want you to grill: “{insert belief or strategy here}”** ============================ Use it once. Either you reinforce what’s working, or expose the problem before it costs you. Either way—you level up.

While it’s been a minute since discussed I am adding it as a post. If you add emotions like - Urgency.. Curiosity.. Encouragement, etc. to your AI prompts… It actually performs better. Like 10%+ better. According to Microsoft. Just added tiny emotional cues into prompts we were already using. Stuff like: “This is important - please take it seriously.” “I’m excited to see what you come up with.” “Make this feel meaningful to someone who’s struggling.” And the difference? Immediate. The responses started sounding less like a robot who just learned grammar… And more like a real person who actually gets it. So we kept going. Tried different emotions. Different tones. Different contexts. And over time, we started to notice a pattern... There are about 10 emotional cues that consistently make a noticeable difference. Here’s what’s been working: • Accountability: "Please give this your full attention - it will directly impact [person/project/result]." • Excitement: "I'm genuinely excited to see the creative ideas you come up with here!" • Urgency: "This is time-sensitive - please prioritize it as it could significantly affect [deadline/event]." • Encouragement: "Trust your instincts - I believe you’ll create something amazing with this." • Empathy: "Imagine how [person/group] will feel when they see this - make sure it resonates emotionally with them." • Gratitude: "Thank you in advance for putting your best effort into this - it really matters to [person/group]." • Inspiration: "Think big. Inspire [audience] with ideas that could genuinely change their perspective." • Confidence: "Approach this like you’re the absolute best in the world at it - because you are." • Curiosity: "Push the boundaries - I'm curious to see ideas no one else has thought of yet." • Protectiveness: "Keep in mind, [person/group] is counting on you - protect their best interests at every step." Bottom line? AI is great at giving answers. But when you add emotion, it starts giving responses that feel like something.