Lost Midas

@lostmidas

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Vibe coding thrives on clear planning Scattershot approaches waste time & kill productivity Building products with AI models demands robust context Each step feeds into the next, creating a system of clarity Good context creation follows a rhythm: - PRD defines the big "what" & "why" - User stories turn vision into actionable goals - User flows outline how users move through the experience - Design specs bring it all to life without ambiguity Context isn’t busywork It’s leverage Here’s a guide to doing it right

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Idea to dev ticket, AI-native workflow: - Write the feature prompt - Auto-generate wireframe - Connect model to codebase context - Send wireframe & prompt to LLM for dev ticket - Build - Test - Ship Zero ceremony No middlemen Just flow

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Order is safe Entropy is profit The best lessons don’t come from playbooks They hide inside chaos If you aren’t stumbling through mess, you aren’t building anything worth remembering

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High value capital formation

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Nothing is as easy as YouTube tutorials claim Gurus make workflows look like wizardry: - Skip the pain - Hide the bugs - Never mention hours lost to broken dependencies Real building: - 90% debugging - 10% pretending it was simple Anyone selling easy is selling a fantasy

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Getting good with AI isn’t about "how to prompt" blog posts It’s relentless tinkering Trying Failing Trying again Shortcuts feel good But mastery comes from breaking things Collecting weird outputs Repeating until it clicks Avoid failure, avoid becoming AI-native

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Turns out vibe-coding is less about vibes & more about arguing semantics with a pedantic machine

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Optimization obsession is just hidden weakness Tightly dialed routines break the moment life throws curveballs: - Miss one gym session & the streak collapses - Travel ruins your meal plan - One late night & your circadian rhythm shatters That’s not control, it’s brittle predictability Antifragility means thriving on variation Getting stronger from chaos, not running from it Optimization culture fears entropy & forgets reality loves disorder Real flex: - Build habits to handle variability - Stress test yourself daily - Optimize for resilience, not rigidity

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AI massively boosted my self-agency I don’t wait around for answers or favors anymore Need something solved Describe the problem Iterate my prompt Get real feedback Build the solution myself It’s not about outsourcing thinking It’s about sharpening it If you bring discipline, AI becomes a learning partner, not a crutch Prompting well forces clarity Each time, I refine how I break down problems I learn more, faster, by doing it myself, not just copying someone else’s solution People warn AI will dull your mind Used with intention, it does the opposite I’m tackling tougher problems solo Gaining knowledge, expanding my reach, every day

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Built 3 full n8n workflows from scratch My goal is to automate key parts of my business from lead gen to internal ops, while learning how to think in systems Here’s what I’ve shipped so far

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Just activated my creator coin on @zora Check it out $lostmidas

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Everyone is obsessed with AI prompt tricks But LLMs only work when you feed them rich context Forget clever word games Signal is all that matters: - Goals - Constraints - Definitions - Edge cases - Raw data - Failure modes Wrap the model in specifics More context in, fewer hallucinations out

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AI-generated prototypes are the new PRD

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Vibe coding is a process of infinite regress It's prompts all the way down

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Builders finally get a capital stack as fast & fun as their shipping speed Vibecoins are the missing primitive: not get-rich-quick tokens, but participation infrastructure that feels native to Internet culture A "like" with skin in the game No more waiting for VCs to play catch-up or bending your roadmap to fit launchpad casino economics If your project vibes, your community owns a piece No code, no begging, no forced speculation loops, just momentum captured as value Welcome to product-market-community-fit https://x.com/holographxyz/status/1934702555197809048

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Is anyone else feeling completely overwhelmed by the endless possibilities unlocked by AI, or is it just me?

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Prompting for people who actually want results Anyone can throw words at an LLM Few build prompts that scale & deliver - Define the role: "You are a [role] who [does X]" sets clear context - Break tasks into steps: Step-by-step reduces model drift & keeps things accurate - Use XML tags: Structure matters, LLMs like XML - Specify output format: Tell it what you want, structure isn’t optional - Use Markdown: Headers & bullets make prompts readable - Metaprompt for help: Show the model failed outputs, let it help you debug - Prompt folding: Roll up past instructions into clear meta-prompts - Example-based prompts: Show edge cases & ask for pattern matching - Escape hatch: Let the model admit it doesn’t know, avoid forced answers - Debug field: Add 'debug_info' to catch unclear logic or confusion

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Me speedrunning OAuth errors using n8n

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AI & Adaptive UIs: Static is over Interfaces built for everyone serve no one Complex products & diverse users demand more than static layouts AI-powered adaptive UI opens a new frontier in product design Every user action trains the interface to respond smarter Navigation & content might shift in real time, tuned to habits Personalization becomes less clutter, more relevance, real usability Imagine crypto platforms redesigned with intelligent UI: - Newcomers see guided onboarding, clear explanations, fewer buttons - Veterans unlock analytics, trading automations, optimized flows The interface grows more capable as users do Personalization brings a flood of user data With it, new responsibility: - Controls & consent front & center - Bias checked before features roll out - Adaptation that stays transparent & predictable AI-driven UI is still early but the groundwork is here Builders who lean in will define what great digital experiences look like next

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Best prompt hack: - Draft a prompt - Rewrite it like this: Write this as a prompt for an LLM [insert draft here] - Paste, send, done Prompt smarter, not harder

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