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Skip generic prompts—use JSON codes to unlock ChatGPT’s real power Last time, I dropped a guide. This? A whole new beast These aren’t tips—they’re 23+ precision-crafted JSON codes that turn ChatGPT into your ad design genius Why JSON? Vague prompts get you trash JSON codes force ChatGPT to think... show more

Taher Zari | CRO & Shopify Landing Pages

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214,039 Aufrufe • vor 1 Jahr •via X (Twitter)

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Cracking the code of cybersecurity? 🔐 Our "Cybersecurity Dictionary for Everyone" is your secret weapon. 🤫 Forget endless Googling or confusing AI jargon! 🙅‍♂️ Learn the language of cybersecurity with ease and confidence. 💪 Get your copy today! 🛒

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here is how to steal any ad/image legally open gemini, create 'Vision-to-JSON' Gem find any image/ad you like, copy it, paste it into the gem, hit enter. JSON keeps every detail intact way better than natural-language summaries. now tweak the json chatting with Gemini using natural language: - make the product bigger - swap the background to a kitchen - add a founder handoff moment whatever you want, you get an updated JSON. copy the updated json and open a fresh Gemini chat paste the JSON code and generate image using NB Pro. you’ve now rebuilt the ad from scratch with a fully editable blueprint want this 'SWIPE File' with same copy/paste method? comment "GEM" to get it, (must be following to get the DM)

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if you are using someone else's garbage saas ai design review product, stop... all of if it is waste of time and i'll give you something better for free that runs with whatever analysis tools you want. altium-cruncher 2026.6.7 public release kicad-cruncher 2026.6.7 public release altium-cruncher is cli tool built on the altium-monkey library. (kicad-cruncher is built on kicad-monkey) here we show the "design_review" (dr) command dr converts an altium project into a simple graph-spatial-topological format specifical design for llm's - json netlist with links with detail indexes into the schematic SVG elements/groups - enriched pcb SVG heavily decorated with links back to the the json graph - all schematic notes in json form - SVG schematic/pcb elements are heirachically grouped w/ tags for the llm to build its own internal map of subcircuits with linkage to copper artwork subsections. - full part parameter linkage - an .md with a guide for codex/claude on how to step through the eviscerated project. - bonus: schdoc and pcbdoc in a raw json serialized format (what altium uses internally but doesnt give you from teh gui). this format is the literal json form of the altium format essentially all of the resolved schematic graph, physical topology, layer stack information and metadata to do make best use of current frontier and local llm techbology it actually was an accidental discovery. better than a netlist. no vendor lock-in. gives you some help without pretending its 100% . no need to waste tokens on full image processing,etc. this dataset works better, is simpler, and compatible with local llms. can help save some time and give you another set of eyes before a release. works on win/mac/linux gratis!

if you are using someone else's garbage saas ai design review product, stop... all of if it is waste of time and i'll give you something better for free that runs with whatever analysis tools you want. altium-cruncher 2026.6.7 public release kicad-cruncher 2026.6.7 public release altium-cruncher is cli tool built on the altium-monkey library. (kicad-cruncher is built on kicad-monkey) here we show the "design_review" (dr) command dr converts an altium project into a simple graph-spatial-topological format specifical design for llm's - json netlist with links with detail indexes into the schematic SVG elements/groups - enriched pcb SVG heavily decorated with links back to the the json graph - all schematic notes in json form - SVG schematic/pcb elements are heirachically grouped w/ tags for the llm to build its own internal map of subcircuits with linkage to copper artwork subsections. - full part parameter linkage - an .md with a guide for codex/claude on how to step through the eviscerated project. - bonus: schdoc and pcbdoc in a raw json serialized format (what altium uses internally but doesnt give you from teh gui). this format is the literal json form of the altium format essentially all of the resolved schematic graph, physical topology, layer stack information and metadata to do make best use of current frontier and local llm techbology it actually was an accidental discovery. better than a netlist. no vendor lock-in. gives you some help without pretending its 100% . no need to waste tokens on full image processing,etc. this dataset works better, is simpler, and compatible with local llms. can help save some time and give you another set of eyes before a release. works on win/mac/linux gratis!

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I used this n8n workflow to scrape X for top-performing posts in my niche (it's a big part of how I went from 600 → 6k followers in 13 days) most creators scroll for hours to find content ideas that work... whereas I just run this flow and get a full swipe file in minutes - organized by likes, comments, shares and URLs. here’s what it does: - drop in a keyword - scrapes X for top posts - pulls engagement data + content - auto-sorts it all into a Google Sheet now you've got data-backed insights ready to plug into your tweets, ads, or even video scripts. workflow takes 5 minutes to set up want the full JSON? comment “SWIPE”, follow, + repost and I’ll send it over (must be following so I can DM)

I used this n8n workflow to scrape X for top-performing posts in my niche (it's a big part of how I went from 600 → 6k followers in 13 days) most creators scroll for hours to find content ideas that work... whereas I just run this flow and get a full swipe file in minutes - organized by likes, comments, shares and URLs. here’s what it does: - drop in a keyword - scrapes X for top posts - pulls engagement data + content - auto-sorts it all into a Google Sheet now you've got data-backed insights ready to plug into your tweets, ads, or even video scripts. workflow takes 5 minutes to set up want the full JSON? comment “SWIPE”, follow, + repost and I’ll send it over (must be following so I can DM)

J.B.

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One of my favorite Anthropic API features that people don't seem to know about is prompt prefilling. Your API request doesn't have to end with a 'user' turn. You can include an 'assistant' turn at the end of the messages array and "put words in Claude's mouth" so to speak. Claude will then start its response as if it already output the text you prefilled. This technique allows you to direct Claude’s actions, skip preambles, enforce specific formats like JSON or XML, and even help Claude maintain character consistency in role-play scenarios. I use it all the time as it makes prompts much simpler, especially for things like structured outputs.

One of my favorite Anthropic API features that people don't seem to know about is prompt prefilling. Your API request doesn't have to end with a 'user' turn. You can include an 'assistant' turn at the end of the messages array and "put words in Claude's mouth" so to speak. Claude will then start its response as if it already output the text you prefilled. This technique allows you to direct Claude’s actions, skip preambles, enforce specific formats like JSON or XML, and even help Claude maintain character consistency in role-play scenarios. I use it all the time as it makes prompts much simpler, especially for things like structured outputs.

Alex Albert

118,260 Aufrufe • vor 1 Jahr

Turn your competitor’s reviews into ad copy that eats their lunch I built an n8n automation that stalks Amazon products, scrapes reviews, and turns them into performance creative - in under 5 minutes. here’s how it works: - paste any Amazon product URL - scrapes 100+ reviews and filters high-signal insights - claude analyzes and gives you: –> top pain points & desires –> scroll-stopping copy pulled from real customers –> positioning gaps & opportunities –> use-case language you probably missed I’ve used this to: – Launch better ads – Spot product gaps before they cost us – Write landing pages that actually convert want the full build? Comment “REVIEWS” + follow and I’ll DM you everything (must be following so I can DM)

Turn your competitor’s reviews into ad copy that eats their lunch I built an n8n automation that stalks Amazon products, scrapes reviews, and turns them into performance creative - in under 5 minutes. here’s how it works: - paste any Amazon product URL - scrapes 100+ reviews and filters high-signal insights - claude analyzes and gives you: –> top pain points & desires –> scroll-stopping copy pulled from real customers –> positioning gaps & opportunities –> use-case language you probably missed I’ve used this to: – Launch better ads – Spot product gaps before they cost us – Write landing pages that actually convert want the full build? Comment “REVIEWS” + follow and I’ll DM you everything (must be following so I can DM)

J.B.

25,300 Aufrufe • vor 1 Jahr

FLUX 2.0 just dropped. And it’s one of the strongest image models of 2025. In our latest video, we break down what makes FLUX 2.0 so powerful and why creators are paying close attention to it. ⁠ Here’s what stands out: Accurate HEX color control You can specify exact HEX values inside your prompt. You get precise palette consistency without guesswork. ⁠ Structured prompting with JSON FLUX 2.0 is tuned for JSON based prompts. That means predictable composition, steadier outputs, and tighter creative control. ⁠ Photorealism and lighting accuracy Reflections, skin texture, shadows, small details, and challenging lighting setups now render with a level of clarity that looks close to real photography. ⁠ Complex scene understanding You can describe multi-element environments and FLUX 2.0 handles spatial relationships with stronger coherence and stability. ⁠ Better anatomy, hands, and facial detail Human subjects look cleaner, more natural, and more consistent across shots. ⁠ Image to image style control You can feed a reference and FLUX 2.0 matches mood, framing, texture, or atmosphere with surprising precision. ⁠ If you want a real look at what FLUX 2.0 delivers, watch the full breakdown here.

FLUX 2.0 just dropped. And it’s one of the strongest image models of 2025. In our latest video, we break down what makes FLUX 2.0 so powerful and why creators are paying close attention to it. ⁠ Here’s what stands out: Accurate HEX color control You can specify exact HEX values inside your prompt. You get precise palette consistency without guesswork. ⁠ Structured prompting with JSON FLUX 2.0 is tuned for JSON based prompts. That means predictable composition, steadier outputs, and tighter creative control. ⁠ Photorealism and lighting accuracy Reflections, skin texture, shadows, small details, and challenging lighting setups now render with a level of clarity that looks close to real photography. ⁠ Complex scene understanding You can describe multi-element environments and FLUX 2.0 handles spatial relationships with stronger coherence and stability. ⁠ Better anatomy, hands, and facial detail Human subjects look cleaner, more natural, and more consistent across shots. ⁠ Image to image style control You can feed a reference and FLUX 2.0 matches mood, framing, texture, or atmosphere with surprising precision. ⁠ If you want a real look at what FLUX 2.0 delivers, watch the full breakdown here.

There's An AI For That

27,286 Aufrufe • vor 7 Monaten