Happy weekend famz So I decided to put what I've learnt so far on @G_NEXTGEN into practice And I made my first video with Chatgpt, Google flow and Grok. I personally rate it 2/10 😂 Please honestly rate it for me on a scale of 10 🥺

Another utility that deserves attention is using $IVYFI for IvyFi services. This makes sense within the platform's design. If @IvyFi_io provides staking infrastructure and other services, having the native token used across those services gives $IVYFI a practical role within the ecosystem. Paying for IvyFi services is one of the listed uses of $IVYFI. This is different from simply holding a token and waiting. The idea is to create reasons to use $IVYFI within the ecosystem. With $IVYFI now live on the DEX, people can trade the token. The other side of the story is how users can put $IVYFI to use across IvyFi's different services. And with Token Archive coming next, we are already seeing another IvyFi service where $IVYFI will have a practical use. 🔗 IvyFi.io

AI is too big to learn “in general.” So we’re changing how you learn at NEXTGEN. From October 1st, you’ll be able to choose the skill you actually want to master: Graphics. Content. Apps. AI agents. Video. Motion. Audio. Research. Or earning with AI skills. Not sure yet? Start with Foundations and explore different paths. And here’s the important part: Everything you’ll learn is completely FREE. No tuition. No hidden fees. No one charging you to access the learning. Pick a path. Learn the skill. Build real projects. Turn your skills into opportunities. If you’re serious about learning AI and actually using it, join NEXTGEN now.

NEXTGEN, LET’S SEE HOW FAR YOU’VE COME. Quote this post and tell us: How much have you improved since joining NEXTGEN? What can you do now that you couldn’t do before? Share your progress, skills, projects, or biggest win below. Let’s celebrate your growth together. Quote this post, share your story, and there’s a surprise waiting for you.

What I learned from Day 20 on @G_NEXTGEN: AI is useful for getting an instant map of a market, but the first list is only a starting point. I should use AI to identify what to research, then verify specific names, features, and claims using reliable sources before relying on them. And this is the key takeaway: Use AI for the map. Use reliable sources for the facts. #G_NEXTGEN

Lessons learned from Day 19 on @G_NEXTGEN: I learned that repurposing isn't simply copying the same content into different platforms. The idea stays the same, but the delivery should change to match the format and audience. This is how consistent creators don't run out of contents. It's the simple trick to consistent content creation without always burning out, seeking new ideas. #G_NEXTGEN

What I learned from Day 18 on @G_NEXTGEN: Generating multiple hooks gives me more options instead of settling for the first idea. The strongest hooks usually create curiosity, feel specific, or make the reader expect a useful payoff. #G_NEXTGEN

MOST AI VIDEO FAILS BEFORE THE FIRST FRAME. THE PROMPT HAD NO CAMERA. ONLY VIBES. IF YOU CANNOT NAME THE SHOT, YOU CANNOT OWN THE SHOT. Today is Day 7. More AI video creation. We are not collecting prompts. We are learning to direct. Over two sessions we turned an idea into a structured short-film concept. Characters with locked visual identities. Scenes built shot by shot, not one giant prompt. Continuity across faces, outfits, environments and props. Reference images to hold the world together. Most AI video looks generic because the prompt says cinematic drone shot and nothing else. Camera direction has four layers. Name them in this order: Angle Movement Orientation Combination One or two moves per clip. Maximum. Name four and the model averages them into drift. The aerial layer is its own vocabulary. Bird's eye: straight down. Overhead: directly above. Best for patterns and roads. High angle: pointing down, not vertical. Oblique aerial: ground and vertical surfaces both visible. Each one changes how the viewer reads scale. Today we go deeper on AI video creation. Same model. Same world. Better direction. Follow #NEXTGEN for the rest.

What I learned from Day 17 on @G_NEXTGEN: Changing just the style can completely change how the same subject feels. I also learned that keeping the other elements consistent makes it easier to see exactly what effect the style has on the final image. #G_NEXTGEN

Day 16 on @G_NEXTGEN: Today I learnt soemthing important when it comes to text-image generation and that's: Start simple, be specific, and iterate. Treat the first result as a draft, then twerk it till you get something really good, but send in a long prompt and assume the model is not good enough. #G_NEXTGEN

What I learned from Day 15 on @G_NEXTGEN: AI can give me the answer, but verification is my responsibility. If a claim is checkable and it matters, I should check it. #G_NEXTGEN

STOP USING AI LIKE A SEARCH ENGINE. USE IT LIKE A TUTOR. That is the approach we were taught in NEXTGEN Cohort 2. Over two sessions, the NextGen learned to turn an idea into a structured short-film concept, develop characters with consistent visual identities, and build scenes shot by shot instead of leaning on one big prompt. Then we went deeper: continuity across characters, outfits, environments and props. Reference images to lock a visual world together. Camera angles, lighting, framing, cinematic composition. Preparing scenes for AI video generation in Google Flow. None of it stayed theory. Every lesson feeds "THE LAST SEAT," our 30 to 60 second AI short film. One rule from this week is worth keeping: never switch models mid-video just because you ran out of credits. Wait until the next day and finish it on the same model. Switch halfway and the back half looks like a different film. But the bigger lesson sits underneath all of it. Approach AI as a learner, not as someone who already knows. Ask it to break things down. Ask it to explain in plain language, in proper context. Tell it to teach you. "Why does this step matter?" "What context am I missing?" "What would a beginner get wrong here?" AI can help with almost anything — if you give it proper context. Vague in, vague out. Real context, real teaching. That is how you stop using AI and start learning from it. The more you learn, the more you see. The more you see, the better you direct. Skill stacks. Day 5: text to video. The films are about to move.

Lesson learned from Day 14 on @G_NEXTGEN: A mediocre first answer doesn't mean the prompt failed. Specific corrective feedback can turn a decent draft into something much stronger while preserving the useful parts of the original. #G_NEXTGEN

COHORT 2 STARTING!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!