Primee32

EVERYONE'S STILL TALKING ABOUT CHATGPT WHILE OPENAI QUIETLY SHIPPED A FULL LOCAL AGENT THAT ACTUALLY TOUCHES YOUR FILESYSTEM it's called Codex. free if you already pay for ChatGPT. and the real difference isn't a feature, it's the execution model: ChatGPT runs entirely in the cloud, Codex runs as a native desktop app with direct file system access on your machine technical breakdown of what that actually means: WORKSPACE MODEL everything is scoped to "projects" — literal folders on disk that Codex gets read/write access to. no sandbox abstraction, no upload step. you point it at a directory and it operates on the real files sitting there MODEL + REASONING CONTROLS you pick the model (currently GPT-5.5) and a separate reasoning intensity slider — low through extra high. this isn't just "smarter vs dumber," it's a compute/latency tradeoff exposed directly to the user. medium/high is the sweet spot for most tasks, extra high is for genuinely hard multi-step reasoning where you'll tolerate slower output FILE GENERATION ask it to process a folder of receipts and it builds a real .xlsx, multi-tab, formulas and categorization included, rendered inline in a side panel via its own document viewer. the file lives on disk immediately, no export step, no intermediate cloud copy SKILLS = PERSISTENT INSTRUCTION SETS this is the part with real architectural weight. a "skill" is just a saved instruction block Codex writes for itself when you say "make a skill called X that always does Y." functionally this is user-defined system-prompt injection you control through natural language instead of a config file. no other consumer AI tool exposes this as cleanly PLUGIN LAYER = ACTION SURFACE Gmail, Google Drive, Calendar, Canva, Remotion — plugins aren't just data connectors, they're what convert Codex from a text generator into something with actual write-access to third-party systems. connect Gmail and it can draft in your tone, learn from your reply history, and you can literally tell it to run on a cron-like schedule ("every morning at 9am") and it sets up the automation itself, no explicit scheduling logic from you BACKGROUND EXECUTION tasks run async while you work elsewhere — a persistent UI element surfaces only when a task needs a decision from you (e.g. granting network access mid-task). this is closer to a job queue with human-in-the-loop checkpoints than a chatbot turn-based interface net effect: this collapses "generate content" and "execute on my system" into one interface, something ChatGPT's cloud-only architecture structurally can't do most of your feed is still treating this as "ChatGPT but for coders." it's not. it's a local execution agent, free, and most people haven't opened it yet the window is open

@madpencil_ Clip credit goes to @steviemac03x — the workflow breakdown is original. Thanks for the reminder to tag.

@Primee32 first, this clip isn't made by you it's by Steven and second you can't show consistency in one single render, put out your own work first, don't be a content thief.

THE 16-FRAME GRID TRICK THAT KEEPS SEEDANCE 2.0 CHARACTERS CONSISTENT One monk. One white dragon. A full chase sequence through a waterfall canyon and into a forest. No drift, no dragon losing its horns mid-scene, no robe changing shade between cuts. Most creators generate one reference image then re-prompt Seedance 2.0 shot by shot and hope the character holds together. The real consistency comes from building the entire sequence as one 4x4 storyboard grid in GPT Image 2.0 first — then feeding that grid into Seedance 2.0, not raw prompts. Here's the workflow: 1. Write the character bible — monk: bald, gold robe. dragon: white fur, antler horns, amber eyes. locked before frame one 2. Draft 16 frame captions — shot type + action + one punchy line each 3. Lock the visual style in a single block — cinematic, shallow depth, water mist, motion blur on fur 4. Generate the full 4x4 grid in GPT Image 2.0 — numbered corners, thin black borders, captions baked in 5. Pull each frame out as its own reference image 6. Feed each frame + its caption into Seedance 2.0 as an individual shot 7. Stitch the shots in storyboard order Why this works: - Dragon and monk get designed once across the whole grid — not reinvented in 16 separate prompts - Motion blur and mist already encode energy so Seedance has less to guess - Frame captions double as your shot list — no re-planning once you're animating - Consistent framing forces consistent camera logic before video even starts Use cases: ⁃ Mythology / fantasy sequences with non-human creatures ⁃ Action chase scenes across multiple environments ⁃ Character + creature pairs that need to stay locked across cuts ⁃ Cinematic shorts with no budget and no team Not every fur detail survived the jump to video untouched — some cleanup needed once things start moving. But designing the dragon and monk together in one grid before touching Seedance killed almost all my consistency issues.

@Refiner_Studio you to!

@Primee32 Thank you so much Maestro 🙂‍↕️🙌

@Refiner_Studio Yes, each of the 16 frames acts as a reference anchor — you feed frame + caption together so Seedance knows both what it looks like and what it should do. Full prompt template and grid breakdown this week. Stay tuned.

This looks stunning and fantastic imagination🙌🙌 By 16 frames, do you mean use them as "keyframes" to start/end shots? Also, if possible you could you please share the prompt for generating these 16 frames with GPT IMAGE 2? I'm actually understanding how do prompt to keep moving the two subjects further imagewise and handle the direction/path of the movement. Brilliant work 🙌🙌🎉🎉🔥🔥

@YYaiYaiYY Yes. Prompt structure, grid annotations, and character bible template — all coming this week.

@Primee32 Will there be prompt analysis?

@_IGI_Media_ Next post covers exactly that. Follow so you don't miss it.

@Primee32 can you show the grids plz

@JulianJenkins 16-frame grid method. Build the full sequence in GPT Image 2.0 first, then feed each frame into Seedance as individual shots and stitch them together.

@Primee32 How do you go further than 15 seconds

@LmNguyn92578418 Yes. It is.

@Primee32 Insane work😍

@NexlowX thanks bro!😆

@Primee32 not bad keep going in that direction

@NexlowX Turnaround sheet > single reference. Every time.

THE CHARACTER SHEET FORMAT THAT STOPS SEEDANCE 2.0 FROM REDESIGNING YOUR CHARACTER MID-SHOT One face. Four angles. Four expressions. Three action poses. Zero identity drift once he actually starts moving. Most people generate one hero portrait and hope Seedance 2.0 holds the design steady across every new shot. The real consistency comes from feeding it a full turnaround sheet instead of a single image everything the model needs to know about the character locked in one canvas. Here's the build order: 1. Lock the character bio in one block — age, build, ethnicity, hair, general read 2. Lock outfit + palette in a separate block — fashion direction, color story, accessories 3. Build the full turnaround — front, 3/4, side, back, all in one sheet 4. Add a 4-expression panel — neutral, happy, angry, surprised 5. Add 3 action poses at the bottom — range of motion, not just standing 6. Add detail callout zooms — fabric texture, accessories, shoes, face close-up 7. Add an outfit breakdown panel + color swatches with hex-style labels 8. Feed the finished sheet not a single portrait into Seedance 2.0 as the character reference Why this works: - Every angle and expression gets generated in one pass, so nothing gets reinvented differently shot to shot later - Detail callouts lock the small stuff tattoos, gloves, pendant that's usually first to drift - Outfit breakdown + swatches give Seedance explicit color anchors instead of guessing from one lit photo - Same lighting logic across every panel means Seedance isn't fighting conflicting shadow directions between references Use cases: - Original characters for animated shorts / music videos - Game character previz before full animation - Brand mascots that need a consistent expression range - Any project where one character has to hold up across many shots Not every accessory survives every angle perfectly small pendant and tattoo details still need a manual check after generation. But building the full sheet before ever opening Seedance 2.0 cut character drift down to almost nothing.

@kulon077 AI isn't replacing companies. It's replacing the org chart. That last line is the whole thesis.

THE FIRST COMPANY TO REACH $100M WITH 20 EMPLOYEES WON'T BE A MIRACLE. It'll be a preview. For decades, every growing business followed the same playbook. Need more sales? Hire salespeople. Need better marketing? Hire marketers. Need more reports? Hire analysts. Growth meant adding headcount. AI quietly breaks that equation. One person can now coordinate specialists that never ask for onboarding, never forget the process and never disappear after one conversation. The bottleneck isn't building a team anymore—it's knowing which roles should exist in the first place. I don't think AI is replacing companies. I think it's replacing the org chart.

@betraidx The game drops once. The content opportunity runs for years. Most people will miss the window by waiting to see how it plays out.

Not everyone can buy GTA 6 on day one. But every single one of them will search for it. Pause at 0:24. Millions of people without the game will be looking for clips, guides, and reactions the moment it drops. The creator already in front of that audience owns the traffic before the title screen loads. Content. RP servers. Financial positions. Each one has a different binding constraint. Capital. Time. Technical skill. The play that fits your constraints is the one that works. Channels building now lock in rankings before 25 million players arrive. Most people will wonder in March why someone else got rich off the same game.

@NexlowX 👋👋

@Primee32 thanks bro

THE 16-FRAME GRID TRICK THAT KEEPS SEEDANCE 2.0 CHARACTERS CONSISTENT One character. Three riders. A full chase sequence across 16 shots. No drift no redesign mid-scene, no "wait why did her hoodie change color." Most people generate a single reference image, then re-prompt Seedance 2.0 shot by shot and hope the character holds together. The real consistency comes from building the entire sequence as one 4x4 storyboard grid in GPT Image 2.0 first then feeding that grid into Seedance 2.0 not raw prompts. Here's the workflow: 1. Write the scene + character bible setting outfits vibe movement style all in one place 2. Draft 16 frame captions shot type + action + one punchy line each 3. Lock the visual style in a single block halftone, motion lines, smear frames, tilted panels 4. Generate the full 4x4 grid in GPT Image 2.0 numbered corners thin black borders, captions baked in 5. Pull each frame out as its own reference image 6. Feed each frame + its caption into Seedance 2.0 as an individual shot 7. Stitch the shots in storyboard order Why this works: • Character gets designed once across the whole grid not reinvented in 16 separate prompts • Comic-style motion lines and smear frames already encode direction so Seedance has less to guess • Frame captions double as your shot list no re-planning once you're animating • Consistent panel tilt and framing forces consistent camera logic before video even starts Use cases: • Chase scenes / action sequences with multiple moving subjects • Comic-to-motion adaptations • Group shots where every character needs to match across cuts • Fast-cut sports or extreme-sports style edits Not every frame survives the jump to video untouched some smear effects need cleanup once they're moving. But building the whole sequence as one grid before touching Seedance 2.0 killed almost all my consistency issues.

A 31 YEAR OLD NEW JERSEY DAD STUDIED BLUEY FOR ONE WEEKEND AND NOW MAKES MORE THAN MOST ANIMATORS, $11,400 A MONTH WITH ZERO ANIMATION BACKGROUND jason is 31, new jersey living room, noticed his 3 year old rewatched the same bluey episode 16 times in one weekend and decided to figure out why instead of guessing the pattern wasn't animation quality. it was pacing — every scene held exactly as long as a toddler needs to process it. not a second longer. fed that pacing into claude to build a reusable script structure: short scenes, one simple conflict per episode, a resolution a toddler can follow without a parent explaining it midjourney locks the character designs, kling animates at the exact pacing claude mapped, elevenlabs handles every voice so nothing sounds robotic no more brainstorming — just pick a tiny daily conflict (lost toy, thunderstorm, shared snack) and let the template run month 1: 12k views, mostly friends and family month 3: 680k views, getting recommended to parents he'd never reached month 6: 340k subscribers, 89 episodes, $11,400/mo between ads and an unexpected toy licensing inquiry he has never worked in animation, never studied child psychology, never hired a team bluey's studio spent years perfecting the pacing that holds a toddler's attention. jason didn't beat bluey. he just stole the formula and ran the window is open, follow and bookmark before it closes

@xmyttle looks amazing!!!

FABLE 5 BUILT THE KIND OF WEBSITE A STUDIO WOULD CHARGE $10K FOR this is more than a landing page. the environment changes as you scroll. the water moves. the lighting shifts. each section feels like a different world. one builder can now sell the work that used to require: - a designer - a WebGL developer - a motion specialist - a creative studio the opportunity is not selling AI websites. it is showing a client something they assumed was outside their budget, then delivering it with Fable 5.

@bykushnir People blaming the model are the same people who blame the gym for not losing weight.

MOST PEOPLE DON'T HAVE AN AI PROBLEM. THEY HAVE A COMMUNICATION PROBLEM. Everyone talks about which model is smarter. Sonnet or Opus. Claude or ChatGPT. But after watching hundreds of prompts, I've noticed something else: the biggest difference isn't the model it's the person using it. Give the same AI to two people and you'll get two completely different results. One writes a single vague sentence and complains that AI is overrated. The other treats it like a colleague, provides context, refines the first draft, keeps the conversation going and ends up with work that would normally take hours. Same model. Completely different outcome. AI is becoming less about asking better questions and more about learning how to think clearly enough that another intelligence can actually help you. The people who master that skill won't just get better outputs they'll work differently than everyone else.