BREAKING: Character consistency just got physics-locked. Nano Banana 2... on Higgsfield AI 🧩 maintains same face, same body, same scene across infinite generations. Powered by Gemini 3 Pro. 65% OFF—most affordable Black Friday deal. Agency designers are about to level up. #Nanobanana2show more

Stop Scrolling 🫵 Nano Banana 2’s Edit with Gemini... feature is now live on Higgsfield AI 🧩 Experience selective background, lighting and element adjustments with a fully non-destructive editing workflow. Enjoy 65% OFF for the most affordable access to professional grade AI editing. No wasted generations, only accuracy. #NanoBanana2 #Higgsfieldshow more

This video from Higgsfield on Black Friday blew me... away. “San Francisco-based Al startup Higgsfield admitted it went too far, replacing work for over 100,000 artists. To make it right, the team is giving up their November paychecks so the same artists can afford the Al tools. Their prices dropped by 65%. This remains 3 days.” Higgsfield AI 🧩.ai.show more

Character consistency was AI video's biggest wall. Seedance 2.0's... native 4K + Nano Banana Pro just cleared it. Shadows, skin tones, edge detail, all holding up even in motion. Look at the reference sheets below, then watch the shot. Bezalel, Sabaka, the whole camp. Every face locked to its reference across one continuous take, zero drift. The sheet even maps his run: a red path tracing his route through the tents before he collides with Sabaka. THE BOOK OF MOSES premieres Friday. 🌊show more

Cool summer, grab a bottle of Coca-Cola🥺 Seedance 2.0... Mini prompt 👇 Referencing the face, hairstyle, and body proportions of image_1 — this exact young Asian woman with shoulder-length black hair with bangs, delicate features, and slender figure must remain 100% identical across all outfit changes. Face never changes. 9:16 vertical, 15 seconds, high-saturation commercial style: photo-realistic character on flat graphic animation backgrounds, red-black-white color palette. [0–1.7s] Pure white studio background. Full-body 35mm shot. Character wears simple grey-black outfit, faces camera, holds a transparent plastic cola bottle filled with deep-brown carbonated liquid, red label, red cap. She leans in and twists the cap open with effort. [1.7–2.2s] Cap pops off with a burst — dense bubbles rush upward, cold mist sprays out. Her face shows delighted surprise. A red flash wipes the frame. [2.2–3.5s] Background instantly transforms: deep crimson flat-design. A giant matte-black cola bottle silhouette dominates center frame. Character shrinks and stands inside the silhouette, tilts head back to drink. Bold red and black geometric shapes slide rapidly behind her. [3.5–4s] A giant condensation-covered cola bottle sweeps horizontally across the full frame at high speed with motion blur — TRANSITION 1. [4–6s] Bottle clears. OUTFIT 1 — sporty sweet: red-black cropped top, black shorts, red cap, black sneakers. Same face. She raises one leg, holds cola bottle, energetic jump pose. Floating props: red headphones, black camera, ice cubes, red bottle caps. [6–8s] Cola bubbles explode across frame — TRANSITION 2. OUTFIT 2 — street casual: black oversized tee with red graphic, black wide shorts, red jacket tied at waist, red-black sneakers. Same face. She spins, lands, turns back to camera and raises cola bottle with cool confidence. [8–10s] Giant red bottle cap spins into frame — TRANSITION 3. OUTFIT 3 — hot athletic: red off-shoulder crop top, black high-waist shorts, red-black wristbands, black ankle boots. Same face. She leaps sideways mid-air, one hand drinking from cola. Floating: skewers, straws, ice cubes, cola bubbles. [10–12s] Dark brown cola liquid splashes across body — TRANSITION 4. OUTFIT 4 — cool summer: black cropped top with red trim, red-black shorts, light summer shoes. Same face. Hair gently blown by air current. She floats sideways, holds cola bottle. Floating: red-black swim ring, sunglasses, walkman, small tote bag. [12–13s] A giant ice-frosted cola bottle rises fast from bottom of frame. Character shrinks, floats beside the bottle. Red-black accessories explode outward in a shockwave. Background: deep red and black diagonal geometric blocks. [13–15s] Cut to product close-up: cola bottle front view, transparent body filled with deep-brown carbonated liquid, dense fine bubbles rising continuously, real condensation droplets coating the glass, red label with clean white 'COLA' text only. Black ice cubes and red bottle cap float around it. Character peeks from behind the bottle, smiling warmly, raises the cola joyfully, and says with accurate lip-sync: '啊——爽！' Camera: fixed frontal composition throughout, 35mm full-body for character shots, 50mm product close-up for final. All outfit transitions use in-frame occlusion only — bottle sweep, bubble burst, cap spin, liquid splash — never direct cut. All action beats hit heavy bass downbeats. Character face, hairstyle, and body proportions are identical in every shot. No subtitles. No music. Sound: bottle pop 'bō', carbonation hiss, ice clink, bubble fizz, bass drum hit on each transition beat, brief whoosh on each change, final Chinese line lip-synced precisely.show more

mj style creator → 3×3 grid with nano banana... pro → turn it into motion with hailuo 2.3 → final polish using topaz astra this simple workflow helps you think visually before you over generate. starting with a 3×3 grid lets you explore composition, mood and performance in one pass, instead of guessing shot by shot. from there, it’s much easier to choose which frames are worth pushing further, test variations and maintain consistency across scenes. turns your ideas into a clear live storyboard before moving into a full motion. great for a/b testing shots, refining actions and building stronger cinematic sequences with intention. made w x Hailuo AI-MiniMax Hub x Topaz Labs the guide structure is the same as the one i shared before ⬇️show more

€10,000/month per AI influencer (Aitana López). $8,000–34,000 per sponsored... post at the top. Lil Miquela has 2.4M followers and brand deals with Prada, Calvin Klein, Samsung, Dior. she doesn't exist. the new generation runs on a tighter stack: 1. lock a face once. one platform (Apob AI / Higgsfield) keeps it identical across every video. 2. find a viral reference clip in your niche dance, lifestyle, fitness, fashion. 3. swap your AI face onto the original creator's body. 90 seconds per clip. 4. Seedance 2.0 or Kling Motion Control handles the motion. zero animation skills required. 5. post 2–3 times a day across TikTok, Reels, Shorts, Facebook simultaneously. 6. one viral clone = 50,000–500,000 views on a brand new account in a weekend. first dollar in week 2: $9–27 digital product in bio. brand deals in month 3–6 once metrics warm up. portfolio play: same backend runs 3–5 personas in parallel. influencer economy 2024: real face, real fatigue, one bad day kills a brand deal. influencer economy 2026: a face that never ages, never cancels, never burns out. the next million-follower account on your FYP probably wasn't born. it was prompted, swapped, and shipped while the operator slept.show more

🚀 Update Next Scene V2 only 10 days after... last version, now live on Hugging Face 👉 🎬 A LoRA made for Qwen Image Edit 2509 that lets you create seamless cinematic “next shots” — keeping the same characters, lighting, and mood. I trained this new version on thousands of paired cinematic shots to make scene transitions smoother, more emotional, and real. 🧠 What’s new: • Much stronger consistency across shots • Better lighting and character preservation • Smoother transitions and framing logic • No more black bar artifacts Built for storytellers using ComfyUI or any diffusers pipeline. Just use “Next Scene:” and describe what happens next , the model keeps everything coherent. 🧩 Try it directly in ComfyUI, or check the thread to launch it on fal . Open-source, no restrictions, made for filmmakers, animators, and dreamers. ComfyUI #AIcinema #LoRA #Flux #Qwen #ComfyUI #AIart #GenerativeVideo you can test on comfyui or to try on you can go here : and use my lora link : start your prompt with "Next Scene:" and lets go !!show more

This workflow is perfect for creating short fashion-style cinematic... videos. I simplified the original prompts based on willie’s method, and the whole process is now much faster and more stable: 1. Generate a 3×3 keyframe grid (Nano Banana Pro only) Use this simple prompt: “In a 3x3 grid, show this character in different angles, keep the scene the same, random poses. This is far simpler and more efficient than my old prompts. You can generate multiple times and just pick the keyframes you like most. 2. Extract a high-res keyframe (Super stable trick) Take a screenshot of the keyframe you want from the 3×3 grid, send it back to Nano Banana Pro, and simply say: “Give me a high-resolution version.” This method is much more stable than relying on complex upscaling prompts. 3. Generate the video with Kling 2.5 Turbo Upload the first and last frames to Kling 2.5 Turbo and use this prompt: “The camera very slowly and smoothly lowers on a boom.” From my testing, Kling 2.5 Turbo offers the best balance of stability and cost — other models are either less consistent or noticeably more expensive. 4. Final speed adjustment with willie’s tool (Critical step) Use the tool built by willie to fine-tune the playback speed of each clip. This step is essential for getting that premium cinematic feel. I’ll drop the tool link in the comments.show more

Well… I scrolled Facebook today and counted 22 new... brush clearing companies in our local market alone. Every single one of them…except one, started no earlier than summer of 2025. A lot of them are copying our social formula almost exactly. - Same content style. - Same messaging. - Same angles. Not quite as effectively, but close enough. At the same time, I get emails, calls, and texts almost every day from people around the country starting forestry mulching businesses who want advice. Which is fascinating to watch… and exactly what we expected. Here’s the part people don’t talk about when they say “just post more content”: Visibility creates competition. Our lead costs are up roughly 10x because of market saturation. Our close rates are down because crowded markets always turn into a race to the bottom on price. That’s the tax of winning. Luckily, we planned for this. We’ve been expecting this since day one, and we’re rolling out Phase 2 of Brushworks this spring… a little earlier than anticipated, but no big deal. I will say… I am surprised by how fast people rush into a market when they see a good idea working. It moves faster than most people think. On to Phase 2. I won’t be sharing this one though. 😄show more

Nanobanana Pro Higgsfield AI 🧩 なるほどこれは便利！！ いろんなショットを一発で出して、そこから選ぶ感じ 見事にアップスケールしてくれる プロンプトはリプ欄の元投稿を使わせていただきました... ””” Analyze the entire composition of the input image. Identify ALL key subjects present (whether it's a single person, a group/couple, a vehicle, or a specific object) and their spatial relationship/interaction. Generate a cohesive 3x3 grid "Cinematic Contact Sheet" featuring 9 distinct camera shots of exactly these subjects in the same environment. You must adapt the standard cinematic shot types to fit the content (e.g., if a group, keep the group together; if an object, frame the whole object): **Row 1 (Establishing Context):** 1. **Extreme Long Shot (ELS):** The subject(s) are seen small within the vast environment. 2. **Long Shot (LS):** The complete subject(s) or group is visible from top to bottom (head to toe / wheels to roof). 3. **Medium Long Shot (American/3-4):** Framed from knees up (for people) or a 3/4 view (for objects). **Row 2 (The Core Coverage):** 4. **Medium Shot (MS):** Framed from the waist up (or the central core of the object). Focus on interaction/action. 5. **Medium Close-Up (MCU):** Framed from chest up. Intimate framing of the main subject(s). 6. **Close-Up (CU):** Tight framing on the face(s) or the "front" of the object. **Row 3 (Details & Angles):** 7. **Extreme Close-Up (ECU):** Macro detail focusing intensely on a key feature (eyes, hands, logo, texture). 8. **Low Angle Shot (Worm's Eye):** Looking up at the subject(s) from the ground (imposing/heroic). 9. **High Angle Shot (Bird's Eye):** Looking down on the subject(s) from above. Ensure strict consistency: The same people/objects, same clothes, and same lighting across all 9 panels. The depth of field should shift realistically (bokeh in close-ups). A professional 3x3 cinematic storyboard grid containing 9 panels. The grid showcases the specific subjects/scene from the input image in a comprehensive range of focal lengths. **Top Row:** Wide environmental shot, Full view, 3/4 cut. **Middle Row:** Waist-up view, Chest-up view, Face/Front close-up. **Bottom Row:** Macro detail, Low Angle, High Angle. All frames feature photorealistic textures, consistent cinematic color grading, and correct framing for the specific number of subjects or objects analyzed. """show more

Contact sheet prompting is the hottest AI video technique... right now 🤯 If you've seen this technique blowing up, here's why it works: You feed AI one image, and it generates a grid of consistent shots—same face, same outfit, different angles and poses. Instant storyboarding. Full creative control. No reshoots. But doing it manually is brutal: → Write the prompt from scratch → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one at a time → Repeat for every single product That's hours of work per campaign. This n8n automation handles everything: → Upload a character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 creates smooth transitions between frames → 5 video clips land in Airtable ready to use No manual cropping. No frame-by-frame prompting. No tedious busywork. What you get in Airtable: - AI-generated creative prompt - Hero image (model + product) - Full 6-frame contact sheet - 5 cinematic video clips - Approval gates before each step All inside n8n + Airtable. Contact sheet prompting on complete autopilot. I recorded a 20-minute Loom showing exactly how I built this. Want the walkthrough + the full n8n workflow + Airtable base? > Like this post > Comment "CONTACT" And I'll send it over (must be following so I can DM)show more

What if luxury livestream shopping ads could be generated... entirely with AI? From the influencer, to the boutique, to the product showcase, every frame was created with GPT Image 2 and Seedance on BudgetPixel AI The future of social commerce content is here. Prompt: 15s ultra-realistic vertical smartphone livestream advertisement, 16:9 aspect ratio, luxury social-commerce style. Use @[char ref] and @[storyboard ref]. Follow the scene sequence with seamless continuity and fast-paced livestream energy. 0:00–0:02 — Livestream opens. Front phone-camera perspective with slight handheld movement. The host smiles warmly while holding a premium black quilted crossbody handbag toward the lens. A realistic illuminated sign reading "TOKYO LIVE FLASH SALE" glows naturally in the background. Dialogue: "Hi everyone~ look at this beautiful bag." 0:02–0:04 — Medium close-up. She rotates the handbag slowly, showing the quilted pattern and gold hardware while maintaining friendly eye contact. Dialogue: "So elegant, right?" 0:04–0:06 — Extreme macro close-up. Her fingers gently glide across the quilted leather texture and premium clasp. Warm highlights reflect realistically across the material. Dialogue: "Soft, premium, luxury." 0:06–0:08 — Top-down product demonstration. She opens the bag and places a smartphone, wallet, lipstick, and power bank inside. Shopping notifications appear. Dialogue: "Everything fits perfectly." 0:08–0:10 — Tracking shot. She wears the bag crossbody and walks naturally through the boutique. Hair moves softly as she turns and smiles. Dialogue: "So comfortable." 0:10–0:12 — Full-body fashion shot. She poses naturally, showing how the bag complements her outfit. Viewer count rises rapidly. Dialogue: "Matches every look." 0:12–0:14 — Dynamic push-in. Realistic LED-style sale graphics illuminate behind her: TOKYO LIVE FLASH SALE 50% OFF LIMITED TIME Countdown Timer Dialogue: "Fifty percent off today!" 0:14–0:15 — Hero product close-up. She brings the handbag toward the camera with a warm smile as hearts and comments flood the screen. Dialogue: "Shop now before it's gone." Audio: Upbeat Japanese city-pop instrumental, subtle livestream notification sounds, floating-heart effects, boutique ambience. Photorealistic live action, natural facial expressions, realistic motion, luxury commercial quality, high-conversion livestream energy. Maintain the same host, same hairstyle, same makeup, same outfit, same handbag, same boutique environment, same lighting, and same sale branding throughout the entire video. No subtitles. No watermark. Strong product focus. Premium luxury fashion-commercial quality.show more

Contact sheet prompting is the hottest AI video technique... right now 🤯 One image in → 6 consistent frames out → cinematic video ads in minutes. But everyone's doing it manually. I automated the entire workflow in n8n + Airtable. Here's why contact sheet prompting is blowing up: You give AI one reference image, and it generates a grid of consistent shots — same face, same outfit, different angles. Instant storyboarding, full creative control, no photoshoots. The problem? It's super tedious: → Write the prompt manually → Generate the contact sheet → Crop each frame by hand → Feed frames into a video model one by one → Repeat for every product This n8n automation handles all of it: → Upload character image + product image → AI analyzes both and writes the contact sheet prompt → Nano Banana Pro generates a 6-frame grid → System extracts each frame automatically → Kling 2.5 generates smooth transitions between frames → You get 5 video clips ready to stitch Approval checkpoints at every stage, no surprises. What lands in your Airtable: → AI-generated creative prompt → Core hero image (model + product) → 6-frame contact sheet → 5 cinematic video clips → Full control before each generation step Contact sheet prompting on autopilot. I filmed a 20 minute Loom video showing you exactly how I set it up. Want the Loom + the complete n8n workflow + Airtable base? > Comment "SHEET" > Like this post And I'll send it over (must be following so I can DM)show more

You don't understand... Higgsfield MCP + Claude just automated... AI film making. Every single step you used to grind through to make an AI movie, you can now do 10x faster. Drop the script into Claude Opus 4.8 and say: "Here's my script. Break it into a full shotlist. Shot number, scene, shot type, camera move and the action in each frame." Now the whole film is mapped, shot by shot. - Pull your assets. Ask Claude: "From this shotlist, list every character, every location and every prop across the whole film." That's your build list. The stuff you would need to generate and give as references in next steps. - Build the character sheets. Higgsfield MCP is connected, so Claude has hands now to do stuff directly. It generates the images itself. Have the full body, back view and close up in the character sheet. One per character. Each sheet becomes the locked reference for that face. Same move for locations, generate the empty plate for each one before anyone steps into it. - Generate the frames. Feed Claude the references plus the shot and have it write and fire the Seedance 2.0 prompt. "Using the lead's character sheet and the alley plate, generate shot 4 in Seedance 2.0. Low angle, slow push-in, rain." Claude builds the prompt, calls Seedance 2.0 and the frame lands back in chat. Use a Seedance 2.0 skill to teach Claude how to prompt it properly. Now, there are 3 ways to make the shots. Pick one per scene. - Pure prompting. Fastest one. You describe the action in words and let Seedance interpret it. For consistency across a sequence, feed it a frame from the previous shot so the look carries. - Storyboarding. You hand it a panel and it matches that composition exactly. Way more control over how the shot is framed. The tradeoff is that it can introduce more cuts than you actually want. - Path Control System This is the latest technique Seedance 2.0 technique. Generate a still base plate of the scene. Draw a red line across it to mark the exact path of the movement, then describe what's happening. Seedance follows that line for the action. Also ask Claude to remove the red line when animating. This is the one for anything where motion has to land precisely. The output reads like real live action. - Lastly, generate every clip you need, then cut them together. Get it to Capcut for editing and audio design. And that's it. The pipeline that used to need a full crew and a studio can now run from one Claude chat. 2026 is gonna be wildshow more

i should never be sharing this but f*ck it... Gemini Omni + GPT Images 2 is insane at AI video editing you can take any existing video and completely change what's happening in it. swap what someone is saying, change the character entirely, add or remove elements, all for a few cents per edit i've been using this to remix winning content into new variations without regenerating anything from scratch here's what you can do with it: > speech swap - change what someone is saying in an existing video > character swap - replace the person entirely while keeping the same movements > element editing - add products, remove backgrounds, change environments > style transfer - turn a real video into an animation style video or vice versa most people think Gemini Omni is just for generating videos butthe editing capabilities are what make it broken i put together the full breakdown on how to do all of this step by step RT + reply "OMNI" and i'll send it over (must follow so i can dm)show more

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION... PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article belowshow more

Claude Code + Google Stitch 2.0 is f*cking cracked... 🤯 Google just dropped a free AI design agent that solves Claude Code's biggest weakness: frontend design. One screenshot of a high-converting landing page → a production-ready site for your brand in minutes. All inside Google Stitch + Claude Code. Perfect for DTC brands and agencies who are building advertorial pages and product launch pages for Meta but burning days on designer back-and-forth. If you're running Meta ads and need 5-10 different landing pages testing different hooks, angles, and offers — each one targeting a different audience and pain point — you know the bottleneck isn't the ads. It's the pages. Briefing designers, waiting for revisions, paying $2-5K per page. Stitch eliminates the design bottleneck: → Find a high-converting advertorial that's scaling on Meta → Screenshot it and drop it into Stitch (powered by Gemini 3.1) → Stitch redesigns it with your brand's colors, fonts, and imagery using Nano Banana 2 → Edit sections visually — headlines, CTAs, layouts — without touching code → Export the code and paste it into Claude Code → Claude builds the full production site and deploys to Vercel or Netlify in 60 seconds No designer. No $3K per landing page. No Claude Code frontend that looks like a template from 2019. What you get: → Designer-quality landing pages and advertorials built in minutes, not weeks → Visual editing so you actually see the design before you code it → Nano Banana 2 generating on-brand product imagery and hero shots → A repeatable system — new angle, new page, same pipeline Built 100% with Google Stitch 2.0 + Claude Code. I put together a full playbook showing the exact workflow: how to find winning pages, redesign them in Stitch, and deploy with Claude Code. Want it for free? > Like this post > Comment "STITCH" And I'll send it over (must be following so I can DM)show more

you can legally steal any viral ugc, rewrite it... for your product, and generate it with AI UGC. people are generating photorealistic AI actors that hold real products in their hands and reading scripts that convert like real UGC. Vodafone already ran a full TikTok campaign with AI influencers. same engagement, same conversions, fraction of the cost here's the ugc system anyone can run today: - find a product that hits an emotional pain point (aging skin, insecurity, frustration). one retinol serum video has 8M views and 300k likes with comments begging for the link - download the viral video, transcribe it with Gemini, then feed the transcript + your product + your audience into Claude. it spits out 3 scripts that sound like a friend talking, not an ad - build your actor in any ai ugc platform: filter by age, location, accessories, or generate one from a prompt. nano banana places your exact product in her hand with real lighting and shadows - create two versions of the same actor. no product for the problem hook, product in hand for the solution. that switch is what makes it feel like a real story - use the scenes feature to generate actual application footage: fingertips dabbing serum, circular motions, natural hand movement. not just a talking head - a UGC creator charges $200 to $600 for this exact video. it takes 2 minutes and you can make 10 variations tomorrow the brands winning right now aren't the ones with the biggest budgets. they're the ones testing fastest. reply "ugc" + RT and i'll send you the full video so you can build this too.show more

🚀 Optimus is gearing up for MASS PRODUCTION —... and it’s about to change everything. Tesla is preparing its first large-scale Optimus factory in Fremont (replacing Model S/X lines) targeting 1 million robots per year, with a second-gen line in Austin aiming for 10 million annual capacity! Gen 3 is already walking, refining its moves, and the AI brains (powered by the same tech as FSD/Robotaxi) are accelerating fast. This isn’t just a robot — it’s Tesla’s next leap toward solving labor shortages, boosting productivity, and accelerating our sustainable energy + autonomy future. Imagine helpful Optimus bots in homes, factories, and beyond, freeing humans for higher pursuits while advancing the mission. The robotics revolution is closer than ever. 🤖✨ What excites you most about Optimus — household helper, factory teammate, or something bigger? Drop your vision below! 👇 Like if you’re bullish on Tesla’s multi-product future | Repost to spread the hype | Follow for daily Tesla energy 🔥 #Tesla #Optimus #RobotRevolution #FSD #SustainableFuture #Cybertruckshow more

Seedance 2 is so good at character and scene... consistency across cuts. I tested it with a short film on something I learned last week about cats. The key is detailed prompts - take your story to an LLM to nail the structure, then to Krea to make the video. Take my prompt 👇 Style: high-quality 3D animation, expressive character acting, cozy lighting, cinematic composition Timestamped structure: 0:00 - 0:02 Open on a cozy desk setup in a home office. A black cat, Finn, is near the desk, alert and curious. The woman with brown hair and blue eyes sits at her computer, pulling up a YouTube-style bird video. The screen shows colorful birds hopping on branches. Finn immediately locks in on the movement. 0:03 - 0:05 The woman smiles knowingly and adjusts the monitor so Finn can see better. She lightly gestures toward the screen. Finn jumps onto the chair or desk edge and sits facing the monitor, ears forward, body still, completely mesmerized by the birds. 0:05 - 0:07 The woman gets up from the desk and walks away casually, leaving Finn watching. Finn remains seated, staring at the bird video with total concentration. Maybe a subtle tail flick or tiny head movement tracks the birds on screen. 0:07 - 0:10 Cut to later in the day, in the exact same office. The woman is now back at the desk in a Zoom meeting, still with the single monitor on the same desk. The computer screen now shows a video call grid or work presentation instead of the birds. She is mid-conversation, professional and focused, seated upright, saying "and now we'll move to the next slide" 0:10 - 0:12 Finn suddenly jumps up onto the desk from below, entering frame with urgency. He looks at the screen, confused and dissatisfied that the birds are gone. He starts pawing at the screen and the woman is shocked and embarrassedshow more