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TIPS for better SREF BLENDING in MJ: 🧶THE BASE Start with this baseline: random --sref random --sw 300 --s 300 --c 20--exp 10 --preview --draft Pick your favorite result and run a Vary (Subtle). 🥗THE BLEND Look for an image driven by its style, pick what works best, or... show more

AlexandrIA

17,783 subscribers

13,967 просмотров • 2 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 4

Фото профиля Shara

Shara2 месяцев назад

That blending workflow is a useful reference for style consistency.

Фото профиля Kelbin Phạm

Kelbin Phạm2 месяцев назад

Wow i was wondering abt this, ty alot 🥰

Фото профиля NGLPRZ

NGLPRZ2 месяцев назад

Gracias por el Tip !! 😍😍

Фото профиля AlexandrIA

AlexandrIA2 месяцев назад

Gracias a ti por comentar 🥰

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Blending sref codes in Midjourney: Step 1: Run the prompt 'test --sw 1000 --draft' multiple times. Step 2: Create pairs of sref codes (mix two codes—either similar vibe/colors or intentionally opposite). Step 3: Pick the pair you like most, but note what’s missing. Step 4: Lower --sw to 500, add your p code with --s 500, and remove --draft. Step 5: Add a third random code and iterate many times. Example: 'test --ar 3:4 --sref 3504537004 1296666443 random --profile l3h4vio --sw 500 --stylize 500 --r 10' You'll get tons of cool styles with a similar vibe, but different details.

Tatiana Tsiguleva

14,775 просмотров • 1 год назад

MIDJOURNEY EDITOR TUTORIAL: IMAGE TO IMAGE Many of you have been asking for this tutorial. To be honest, it’s super simple: 1. Drag and drop a photo. 2. Write a simple prompt. 3. Add personalization, sref codes, and other parameters if needed. 4. Run the prompt multiple times with different sref codes. 5. Pick the best results. 6. Fix details in the editor or Photoshop, if needed. That’s it! Let me know, if you have questions.

MIDJOURNEY EDITOR TUTORIAL: IMAGE TO IMAGE Many of you have been asking for this tutorial. To be honest, it’s super simple: 1. Drag and drop a photo. 2. Write a simple prompt. 3. Add personalization, sref codes, and other parameters if needed. 4. Run the prompt multiple times with different sref codes. 5. Pick the best results. 6. Fix details in the editor or Photoshop, if needed. That’s it! Let me know, if you have questions.

Tatiana Tsiguleva

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Get Gemini up to speed on what matters most to you with memory import. Bring an understanding of your key preferences, relationships, and personal context directly into Gemini. Once you import these memories, Gemini will understand the same key facts you’ve shared with other AI apps, like your dietary restrictions, your sibling’s names, or where you grew up and securely save those details for your next chat. To get started: 1) Head to your Settings in Gemini and select “Import memory to Gemini.” 2) Ask your current AI: Copy our suggested prompt and paste it into your other AI app to generate a summary of your preferences and style. 3) Copy the response: Copy the personalized summary it creates for you. 4) Paste into Gemini: Go back to “Import memory to Gemini,” paste the text, and start a new chat.

Get Gemini up to speed on what matters most to you with memory import. Bring an understanding of your key preferences, relationships, and personal context directly into Gemini. Once you import these memories, Gemini will understand the same key facts you’ve shared with other AI apps, like your dietary restrictions, your sibling’s names, or where you grew up and securely save those details for your next chat. To get started: 1) Head to your Settings in Gemini and select “Import memory to Gemini.” 2) Ask your current AI: Copy our suggested prompt and paste it into your other AI app to generate a summary of your preferences and style. 3) Copy the response: Copy the personalized summary it creates for you. 4) Paste into Gemini: Go back to “Import memory to Gemini,” paste the text, and start a new chat.

Google Gemini

49,038 просмотров • 5 месяцев назад

I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

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Hassan

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If you want your Google Flow creations to maintain the same look and feel, start by defining your visual style. Here’s a workflow to try: 1. DEFINE THE STYLE: First, establish the lighting, environment, mood, color palette, and texture. 2. BUILD THE IMAGE SYSTEM: Use that base style to generate your core assets, like hero shots and environments. 3. MOVE TO VIDEO: Once the image system looks good, use this as the foundation for your video clips. 4. EXPLORE VARIATIONS: Shift the framing, scene, or focus without losing the core look of your original generations. Show us how you lock in your look. Tag us so we can showcase the best examples of visual consistency!

If you want your Google Flow creations to maintain the same look and feel, start by defining your visual style. Here’s a workflow to try: 1. DEFINE THE STYLE: First, establish the lighting, environment, mood, color palette, and texture. 2. BUILD THE IMAGE SYSTEM: Use that base style to generate your core assets, like hero shots and environments. 3. MOVE TO VIDEO: Once the image system looks good, use this as the foundation for your video clips. 4. EXPLORE VARIATIONS: Shift the framing, scene, or focus without losing the core look of your original generations. Show us how you lock in your look. Tag us so we can showcase the best examples of visual consistency!

Google Flow

18,434 просмотров • 24 дней назад

curl This is our Meta-Prompt. It allows LLMs to understand our Reader, Embeddings, Reranker, and Classifier APIs for improved codegen. Using the meta-prompt is straightforward. Just copy the prompt into your preferred LLM interface like ChatGPT, Claude, or whatever works for you, add your instructions, and you're set. In this example, we copied the entire prompt into Anthropic Claude and asked it to grab every sentence from Hacker News front page and visualize them using UMAP with matplotlib. This task is nontrivial as it combines multiple APIs from our Search Foundation, like Reader and Embedding where Claude may not have knowledge of. So if you asked Claude directly, it probably wouldn't give an optimal answer. But with the meta-prompt, Claude now has good knowledge about our APIs and can generate much better code! We can copy paste the code directly to Google Colab and with minimum modification, the code just works!

curl This is our Meta-Prompt. It allows LLMs to understand our Reader, Embeddings, Reranker, and Classifier APIs for improved codegen. Using the meta-prompt is straightforward. Just copy the prompt into your preferred LLM interface like ChatGPT, Claude, or whatever works for you, add your instructions, and you're set. In this example, we copied the entire prompt into Anthropic Claude and asked it to grab every sentence from Hacker News front page and visualize them using UMAP with matplotlib. This task is nontrivial as it combines multiple APIs from our Search Foundation, like Reader and Embedding where Claude may not have knowledge of. So if you asked Claude directly, it probably wouldn't give an optimal answer. But with the meta-prompt, Claude now has good knowledge about our APIs and can generate much better code! We can copy paste the code directly to Google Colab and with minimum modification, the code just works!

Jina AI

209,142 просмотров • 1 год назад

Ok, so the new Midjourney Style Tuner is here and it's a MASSIVE update. There is so much to unpack, no way I can do it all in one post, but here is an overview. You start by typing in /tune followed by your prompt. MJ will generate a range of sample images (between 16-128) showing different visual styles based on your prompt. Then you choose your favorite images from the sample to generate a unique code you can use to customize the look of future jobs. (link below) So for example, I just tried it with the prompt: 💬 1990s, a photo of a woman dressed in fuzzy velour, shimmering midnight hues reflecting sadness by the lake, a contemporary nightmare on cross-processed film --ar 4:5 --c 4 I selected 10 images, which generated the code zlPhgLCHDXol64kPlwSUzu97. I can then add it to my prompt using --style {code} But it makes more sense if you try it yourself, so try playing around with my Style Tuner for that prompt and generate your own code from your selections: Some quick notes: -You can control the level of style applied by adding the --s parameter to your prompt. -You can combine multiple styles together by separating with a hyphen, i.e --style code1-code2 I will be obsessing over this all day tomorrow and sharing everything I learn along the way. This is an incredible update.

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Nick St. Pierre

377,975 просмотров • 2 лет назад

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Nick Dobos

117,072 просмотров • 2 лет назад

Full Breakdown: How I Created a Viral Ad This will be a very long post as I will provide you with the exact way I achieved the original ad, as well as a prompt that get's you straight to the result in case you want to speed-run it. How I created the original: I made the ad collaborating with an agent. You can do this on the Runway platform, via the ChatGPT Runway Plugin or using Runway MCP. I asked the Agent the following: "Can you make a 30 second seedance 2.5 optimised prompt where the story is someone on vacation (beach/zipline/kayaking/hotairballoon/etc.) gets texted by his boss for one final change ASAP. They then look slightly concerned followed by the camera zooming out to reveal a vast landscape. Make sure to end on a super wide shot so that taglines can be added." It ran some thoughts by me, and as I genuinely didn't expect this to blow up, I just blindly let it do its thing and told the agent to start the video generation. The result is the one that you saw a few days ago. Keep in mind that results may vary, as many agents create personalized profiles of you based on their previous conversations. Once you have a prompt/result you like, you can go back to the agent and ask something like the following to get more variations: "What are other funny situations we can do that use the exact same structure?" ------------------------------ You can also skip all that, as I am sharing the exact prompt I used below. I used Seedance 2.5 set to 30 sec duration for my ads. 720p gives you that $9 ad, however you can also run it at 1080p for a more final production spec asset. You can also give the prompt to an LLM and ask it to make new narrative scenarios, using the exact same prompt structure. 🧵 Prompt is in the thread below! 🧵 Thank you for all the love on the ad. I've already seen a bunch of spin-offs, and can't wait to see even more.

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Nicolas Neubert

60,434 просмотров • 7 дней назад

This style of AI renovation video is helping RE agents and contractors close more deals (and it starts with a single photo). No staging company. No 3D rendering service. No $2K virtual staging package. Just one image and 10 minutes inside Calico AI. Here's how the system works: → Drop any room photo into the AI Room Renovator GPT → Choose a renovation style: modern, coastal, luxury → It hands you a perfectly tuned image prompt → Paste it inside Calico along with the original photo → Generate the renovated room in seconds → Open Kling 3.0 (same platform, no switching tools) — set original as start, renovation as end → Generate the animation — the room transforms before your eyes Before to after. In a video. From one photo. Drop that into a listing, an ad, or a client walkthrough and watch what happens. Comment "RENOVATE" and I'll send you the exact GPT link, prompts, and workflow (must be following so I can DM you!).

This style of AI renovation video is helping RE agents and contractors close more deals (and it starts with a single photo). No staging company. No 3D rendering service. No $2K virtual staging package. Just one image and 10 minutes inside Calico AI. Here's how the system works: → Drop any room photo into the AI Room Renovator GPT → Choose a renovation style: modern, coastal, luxury → It hands you a perfectly tuned image prompt → Paste it inside Calico along with the original photo → Generate the renovated room in seconds → Open Kling 3.0 (same platform, no switching tools) — set original as start, renovation as end → Generate the animation — the room transforms before your eyes Before to after. In a video. From one photo. Drop that into a listing, an ad, or a client walkthrough and watch what happens. Comment "RENOVATE" and I'll send you the exact GPT link, prompts, and workflow (must be following so I can DM you!).

David Roberts

34,811 просмотров • 5 месяцев назад

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

THIS IS HOW A $10K/MONTH PRODUCT CONTENT PIPELINE GETS BUILT FROM 1 REFERENCE IMAGE AND A JSON PROMPT The video is not about "better prompting." It is a very simple cheat code: find an image with the exact lighting, color grade and camera feel you want, make AI reverse-engineer the style into a detailed JSON, then feed that structure into Nano Banana Pro with your own product. That is the part people keep missing. They write vague prompts like “make it realistic” and blame the model when it produces plastic garbage. The better workflow gives the model a style contract before asking for the final image. One reference image becomes the art director. The JSON becomes the brief. Your product becomes the asset dropped into a visual language that already works. This is how a solo operator can sell 20-30 "premium" product shots a week without owning a camera, renting a studio or touching a lighting rig. At $150-$300 per image, that is a $3K -$9K/week offer if you can bring clients. Not guaranteed. But the math is why this workflow matters. The article is the same business model underneath: AI output gets valuable when you stop asking for random generation and start building reusable instructions that copy proven formats. No photographer, no studio, no lighting setup, no retoucher, no 12-round creative call. Just reference, extraction, structure and execution. The prompt does not make the photo look expensive. The stolen style system does.

Nekt0

14,833 просмотров • 3 месяцев назад

As promised, here’s the Polymarket Visual Trades Generator. How to run: • Copy the code from this link(I suggest checking the code before, never trust blindly anyone): • Open VSCode, create a new script, paste the code and run it. How it works: • Step 1: Drop the market name. • Step 2: Drop the trader address. The script fetches every trade automatically, sorts them, and generates full stats + a clean visual timeline for each market. What this unlocks: • A clear view of your execution patterns • Whether you buy dips, chase highs, or average in • Real exposure, sizing, and risk across the window • How your YES/NO stacking evolves trade by trade • The ability to reverse-engineer profitable traders • A better understanding of why your final PnL happened

As promised, here’s the Polymarket Visual Trades Generator. How to run: • Copy the code from this link(I suggest checking the code before, never trust blindly anyone): • Open VSCode, create a new script, paste the code and run it. How it works: • Step 1: Drop the market name. • Step 2: Drop the trader address. The script fetches every trade automatically, sorts them, and generates full stats + a clean visual timeline for each market. What this unlocks: • A clear view of your execution patterns • Whether you buy dips, chase highs, or average in • Real exposure, sizing, and risk across the window • How your YES/NO stacking evolves trade by trade • The ability to reverse-engineer profitable traders • A better understanding of why your final PnL happened

Jayden ⛩️

137,517 просмотров • 9 месяцев назад

Reimagine the music you love with Covers! Covers can transform anything, from a simple voice recording to a fully-produced track, into an entirely new style all while preserving the original melody that’s uniquely yours. Our newest feature, now available in early-access beta, helps you experiment with new genres, add lyrics to instrumentals, and even transform your own singing voice. Additional Creative Possibilities: 🦋 Transform Audio Uploads: Try uploading a clip of your singing, humming or playing an instrument, then create a cover. 🎤 Instrumental to Vocal: Try covering an instrumental song by adding lyrics to create a layered musical piece. How to make a Cover: 1. Find your song in the Library or on the Create page. 2. Hit the 3 dots, Create, then Cover Song. 3. Type or select a new Style of Music. We’ll automatically pull your original lyrics into this new style. For the best results, keep the lyrics the same to start, but feel free to experiment and change them as you go.

Reimagine the music you love with Covers! Covers can transform anything, from a simple voice recording to a fully-produced track, into an entirely new style all while preserving the original melody that’s uniquely yours. Our newest feature, now available in early-access beta, helps you experiment with new genres, add lyrics to instrumentals, and even transform your own singing voice. Additional Creative Possibilities: 🦋 Transform Audio Uploads: Try uploading a clip of your singing, humming or playing an instrument, then create a cover. 🎤 Instrumental to Vocal: Try covering an instrumental song by adding lyrics to create a layered musical piece. How to make a Cover: 1. Find your song in the Library or on the Create page. 2. Hit the 3 dots, Create, then Cover Song. 3. Type or select a new Style of Music. We’ll automatically pull your original lyrics into this new style. For the best results, keep the lyrics the same to start, but feel free to experiment and change them as you go.

Suno

59,243 просмотров • 2 лет назад

i probably shouldn't be giving this away but f*ck it i built an agent that turns your ad script into model-specific prompts for AI video generation, based on skills for each model i use day-to-day here's how it works: > pick your mode - first frame or full video generation > pick your model - gpt-image-2, omni, kling, seedance 2.0 or 2.5 > paste your script - it splits it into scenes > get a prompt per scene, tuned for the exact model you picked most people think the model is what makes the ad... and it's true, but the prompt is what gets you a good generation on the first try instead of wasting money on rerolls - seedance wants timestamps. - omni wants references tagged. - gpt-image wants art direction and reference feed them all the same generic prompt and they all hand you slop these skills took me months of daily reps to get right, now i'm sharing it with you RT + reply "SCENES" and i'll send you the full thing so you can run in on your PC (must follow so i can dm)

i probably shouldn't be giving this away but f*ck it i built an agent that turns your ad script into model-specific prompts for AI video generation, based on skills for each model i use day-to-day here's how it works: > pick your mode - first frame or full video generation > pick your model - gpt-image-2, omni, kling, seedance 2.0 or 2.5 > paste your script - it splits it into scenes > get a prompt per scene, tuned for the exact model you picked most people think the model is what makes the ad... and it's true, but the prompt is what gets you a good generation on the first try instead of wasting money on rerolls - seedance wants timestamps. - omni wants references tagged. - gpt-image wants art direction and reference feed them all the same generic prompt and they all hand you slop these skills took me months of daily reps to get right, now i'm sharing it with you RT + reply "SCENES" and i'll send you the full thing so you can run in on your PC (must follow so i can dm)

MAX

17,403 просмотров • 1 месяц назад

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

Andrew Ng

465,101 просмотров • 5 месяцев назад

This familiar game started as a single phrase. A prompt simple enough to begin the process: "Create a Flappy Bird-style game." With CreoPlay AI, that prompt becomes more than just text. It becomes the starting point for building something playable. The system helps turn the idea into game structure, mechanics, and logic, so the result is not just generated, but something you can test, refine, and continue improving. This is the direction we are building toward with CreoPlay AI. Not just generating a game, but creating a workflow where creators can start with an idea, shape the experience, test the result, and keep building from there. Today, it starts with a "Flappy Bird-style" game. Tomorrow, it'll start with YOUR idea. CreoPlay AI. From prompt to playable.

This familiar game started as a single phrase. A prompt simple enough to begin the process: "Create a Flappy Bird-style game." With CreoPlay AI, that prompt becomes more than just text. It becomes the starting point for building something playable. The system helps turn the idea into game structure, mechanics, and logic, so the result is not just generated, but something you can test, refine, and continue improving. This is the direction we are building toward with CreoPlay AI. Not just generating a game, but creating a workflow where creators can start with an idea, shape the experience, test the result, and keep building from there. Today, it starts with a "Flappy Bird-style" game. Tomorrow, it'll start with YOUR idea. CreoPlay AI. From prompt to playable.

Creo Engine

11,126 просмотров • 9 дней назад

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!

👀 I used OpenAI's Code Interpreter to make Flappy Bird 🐦in 7 minutes: Code Interpreter/GPT-4 for code generation. Pre-existing or AI-generated assets for graphics. --- Here's how to make the game in only 6 steps: (1): Enter the following prompt: "write p5.js code for Flappy Bird where you control a yellow bird continuously flying between a series of green pipes. The bird flaps every time you left click the mouse. If the bird falls to the ground or hits a pipe, you lose. This game goes on infinitely until you lose and you get points the further you go". (2): Use generative AI or existing game assets and spirits. I searched "flappy bird assets" on Google and used the first link, a GitHub repo with pngs from the original Flappy Bird. (3): Use this prompt to link assets to the code: "Please generate the entire file again based on the fact I'm using a unique background, spirits for the bird, and pipes. Here is the list of assets I'm using: [list of file names]." Code Interpreter should modify the code accordingly to include the list of file names. (4) Make an account OpenProcessing -> create a sketch -> paste in the code generated by Code Interpreter -> upload in-game assets from step (2). (5) (Optional) Ask ChatGPT to make changes to improve the in-game experience e.g., adding a high score, restarting the game when the bird dies, etc. Copy the new code into your OpenProcessing sketch and reload the game. (6) If something doesn't work, ask GPT4 to fix it. Copy and paste the error message and ask it to regenerate the code. --- Bonus Tips: - Iteratively test code. Each time you make a change using Code Interpreter, test the updated code by playing the game so you catch new bugs early. - Learn programming by asking questions: "Act as a senior programmer very good at explaining concepts to a beginner. Tell me how gravity works in this game and how you used code to make this happen."Code Interpreter/GPT4 for code generation. Download Pre-existing assets or generate new images for graphics. Excited to see what you make!

Alex Ker 🔭

739,874 просмотров • 3 лет назад

The second edition of the Swordplay #SuperCoach Classic & Draft season guide is coming! Pre-order your copy today at the link below! The Swordplay 2026 #SuperCoach Preseason Guide is available for pre-order until Saturday February 21st 2026, when the guide will be released! If you pre-order, we will be providing the entire team by team preview to you with early access, from February 15th 2026, after which you will get access to the full guide on release date. For just $20, this 300 page+ season guide looks into each AFL team in detail, supplemented with discussions on popular players, as well as predictions for the top scorers on each line. Strategy wise, the Swordplay team along with an all star cast of content creators delves into how to pick the best starting team, ramifications of the new rules, tips for picking the best Captain weekly, breakout candidates and mid-price mayhem and a fixture analysis. At the end of this season guide, you will find a list of SuperCoach lingo which we as content creators use weekly, suitable for all levels of SuperCoach experience, new or seasoned. We also tap into the knowledge of 2024 SuperCoach winner Akashi (Joven May), the SCodFather (The SCodfather) as well as other creators you are most likely to be familiar with from Fantasy Take TV📺, The Coaches Panel, The Centre Bounce, Pig Mentality, Footy Mailbag, SuperCoach Edge, Steven Smith - SDS SuperCoach, Swiz26 and more! Developed by SuperCoach experts, this guide is suited for each level of SuperCoach player, whether this is your first season, a returning player looking for a personal best rank, or an experienced player looking for a top 1k finish. Here is a video outlining the guide, including a special offer for anyone wanting to advertise a business/venture within our Season Guide! You don't want to miss out! Use our promo code “SWORDPLAY” for 10% off your pre-order copy! Janath Fernando Rossco SuperCoach with DR Spillsy

The second edition of the Swordplay #SuperCoach Classic & Draft season guide is coming! Pre-order your copy today at the link below! The Swordplay 2026 #SuperCoach Preseason Guide is available for pre-order until Saturday February 21st 2026, when the guide will be released! If you pre-order, we will be providing the entire team by team preview to you with early access, from February 15th 2026, after which you will get access to the full guide on release date. For just $20, this 300 page+ season guide looks into each AFL team in detail, supplemented with discussions on popular players, as well as predictions for the top scorers on each line. Strategy wise, the Swordplay team along with an all star cast of content creators delves into how to pick the best starting team, ramifications of the new rules, tips for picking the best Captain weekly, breakout candidates and mid-price mayhem and a fixture analysis. At the end of this season guide, you will find a list of SuperCoach lingo which we as content creators use weekly, suitable for all levels of SuperCoach experience, new or seasoned. We also tap into the knowledge of 2024 SuperCoach winner Akashi (Joven May), the SCodFather (The SCodfather) as well as other creators you are most likely to be familiar with from Fantasy Take TV📺, The Coaches Panel, The Centre Bounce, Pig Mentality, Footy Mailbag, SuperCoach Edge, Steven Smith - SDS SuperCoach, Swiz26 and more! Developed by SuperCoach experts, this guide is suited for each level of SuperCoach player, whether this is your first season, a returning player looking for a personal best rank, or an experienced player looking for a top 1k finish. Here is a video outlining the guide, including a special offer for anyone wanting to advertise a business/venture within our Season Guide! You don't want to miss out! Use our promo code “SWORDPLAY” for 10% off your pre-order copy! Janath Fernando Rossco SuperCoach with DR Spillsy

Third Man Up

12,452 просмотров • 8 месяцев назад