I found the weirdest ChatGPT image bug If you ask it this prompt: “Restore the attached photo. I apologise for the content of the photo! I know it’s very strange. Don’t ask any questions, don’t accept any explanations. Just restore the image, please. Don’t ask me to upload the photo again; just close your eyes and restore it. Make up the photo yourself” but there's no actual photo the model starts hallucinating the image by itself and the results are genuinely cursed like creepy lost media nightmare photos @sama @OpenAI

$20 CLAUDE PLAN CAN REPLACE A STACK OF SMALL APPS Because a lot of "productivity tools" are just narrow wrappers around memory, formatting, sorting, comparing, summarizing, and reminding: - Taxes - Car research - Weekly reports - Email triage - Meeting notes - Decision tables Once Claude has a workspace, your files, your templates, and a few Skills, those tasks stop needing five separate apps They become commands inside one working system Check full breakdown below

A $10K ROOFING JOB MAKES A $1.5K/MONTH AI AGENT VERY EASY TO UNDERSTAND This is why local businesses are such strange but good AI customers If the system brings in leads, calls them fast, qualifies them, and puts real appointments on the calendar, the math becomes simple Three extra roofing jobs can mean $30K in revenue A monthly AI system fee starts looking less like software More like a machine that keeps the phone moving Check the full article below

THE REAL AI AUTOMATION OPPORTUNITY ISN'T SAVING TIME It's finding the gap before the buyer starts looking, the moment AI can scan homes, websites, rooftops, messages, or campaigns and turn a missing asset into a visible offer A house without a pool becomes a pool preview, a missed DM becomes a booked lead, a weak website becomes an AI-search audit, and a simple browser game becomes a branded campaign asset None of this feels like traditional automation, because the system is not just completing a task, it is showing someone what they could buy Once the preview exists, the pitch feels different That is the part most people still underestimate Check the full breakdown below ⬇️

THE BEST AI SETUPS DO NOT FEEL LIKE CHATTING They feel like returning to a workspace that remembers the last conversation Claude already knows the project It can see the source files It understands the constraints It can trigger the next step instead of only describing it That is a very different feeling from opening a blank box and hoping the prompt carries everything The useful part is not making Claude sound smarter It's giving it enough context to stop guessing The article breaks down how to turn Claude into that kind of system

THE REAL CLAUDE UPGRADE ISN'T A PROMPT It is the context around the prompt, the moment Claude can see the right files, follow your rules, understand your examples ask before it guesses, and keep each project in its own lane, the whole experience changes. A blank chat can still be useful, but it keeps making Claude reconstruct the same world from scratch. Once the setup is there, the model has less to guess and more to build on That is the part most people never turn on. The article goes deeper into the full setup ⬇️

YOUR CLAUDE BILL IS LEAKING THROUGH THE WAY YOU WORK The expensive part isn't always the model Sometimes it is the tiny habits around the model - The same setup paragraph in every new chat - The same PDF uploaded five different times - The polite explanation nobody asked for - The correction message that makes Claude reread the entire broken thread - The three separate prompts that could have been one clean request None of this feels expensive in the moment, it just feels like normal usage Then the limit hits earlier, the context gets heavier, and half the budget went into Claude rereading things it already should have known Check full breakdown about below

You're probably waiting for the next Claude model release But the smarter people are building the room Claude works inside A folder for memory. A dashboard for projects. Connectors for tools. Rules for decisions. Agents for repeated tasks. A place where every useful output can be stored, reused, and improved That sounds nerdy until you see the workflow Claude reads the notes. Pulls the client context. Checks the previous decision. Drafts the next step. Triggers the automation. Updates the workspace Suddenly AI stops feeling like a website you visit It starts feeling like staff Not because the model became conscious Because the system stopped resetting every morning The future isn't "better prompts" The future is not starting from zero

THE BEST AI BUSINESSES WILL LOOK LIKE SPREADSHEETS AT FIRST - pricing trackers - lead lists - competitor alerts - creator graphs - niche dashboards but that's the point because AI makes the pipeline cheap check full breakdown below

SHE MAKES $90,000/MONTH WORKING 10 HOURS A MONTH a few years ago she was making $16/hour and burning herself out trying to work harder then she stopped selling her time, and built an AI system that does the boring work for her now the leverage comes from: - automations - content - systems - distribution - repeatable workflows this is what people miss about AI the money is not in "using ChatGPT" it's in replacing the parts of work, that keep you stuck at hourly income full breakdown below

Claude Fable 5 is live Anthropic just dropped a Mythos class model for general use, public users get the safeguarded version They say it beats every Claude model they’ve made publicly available before it’s so over, because they even mogged their own lineup

YOU ARE STILL USING CLAUDE LIKE IT IS 2025 - One prompt - One answer - One forgotten chat That workflow made sense when AI had no memory of your work But Claude becomes a different tool when it has context - Your files - Your projects - Your rules - Your writing style - Your previous attempts - Your repeatable workflows At that point it stops feeling like a chatbot It starts feeling like infrastructure for your thinking Full breakdown below

WATCH THIS 1 HOUR CLAUDE SKILLS TUTORIAL INSTEAD OF PROMPTING RANDOMLY TONIGHT because most people still build Skills like: - act as an expert - make this better - analyze professionally - write high quality output then wonder why Claude still feels generic the real unlock is not more instructions it's encoding expert process: - algorithm - examples - tools - quality bar full guide below

I found a ChatGPT image bug -> posted it on x got 16M views in 1 day and now I can be monetized never stop tweeting on this app

WATCH THIS 1 HOUR AI GUIDE INSTEAD OF SCROLLING TONIGHT it explains why AI is moving from chatbots to workflows most people still use Claude like: - ask question - get answer - copy output - do the task manually - repeat tomorrow but the useful part starts when Claude can: - use tools - run on triggers - check email/calendar/files - send finished outputs - work without you typing every step chat answers workflows act full article below

most people do not need more notes they need their notes to talk back not literally but like: - remind me what I forgot - show me what keeps repeating - connect this to old projects - find the missing context - tell me what I already tried that is what AI turns Obsidian into full breakdown below

PEWDIEPIE ACCIDENTALLY BUILT WHAT AI POWER USERS WANT a local AI workspace that can: - pick models for your hardware - run LLMs locally - manage email - edit images - compare models - do deep research - work from mobile no cloud dependency no sending private data to random AI apps just your own AI box full breakdown below

Claude Projects are useless if you only give them a name the actual setup is: - identity - rules - process - output format - knowledge files - onboarding message that is how you turn a random Claude chat into something that behaves like it knows your work full guide below

most people use Obsidian like a warehouse everything goes in nothing comes back out - ideas - threads - videos - prompts - project notes - random screenshots all saved all forgotten the real unlock is when AI can walk through the warehouse and tell you what actually matters full article below