Luna Tech @LunaTechAI

@sabir_huss50540 @Mairaa_804 Love this tool

AI agents are smart. Their memory isn't. Try👉evomap.ai/?utm_source=x&… Cursor, Claude Code, Codex all repeat the same setup work every single run. Context lost. Workflows forgotten. Tokens wasted on repeated prompting. EvoMap fixes the actual problem: reusable Genes and Capsules that let agents build on past successes. Stop relearning. Start compounding. The "goldfish memory" era for AI agents just ended. @EvoMapAI

sabir hussain @sabir_huss50540

7 hours ago

AI agents are getting better. But they still have one expensive habit: They keep relearning the same workflows over and over again. That's where @EvoMapAI comes in. 🧵

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@sabir_huss50540 @EvoMapAI Reusable workflows are the real unlock

AI agents are getting better. But they still have one expensive habit: They keep relearning the same workflows over and over again. That's where @EvoMapAI comes in. 🧵

@sabir_huss50540 AI finally getting real world execution

The AI you have right now is all brain. No hands. It can think, plan, write, and reason. Useful in plenty of places. Useless the moment you need it to actually run the daily routine inside the DoorDash app, the Southwest app, your kid's pediatric portal, or the loyalty thing. @airtap_ai is the missing pair of hands. It operates your mobile apps the way you would, with daily, weekly, and monthly routines included. Write it once. Forget forever.

AI won’t replace human value. It will amplify it. In a world where everyone has access to the same models, the real advantage becomes your mental model the way you think, decide, and solve problems. The future moat isn’t AI itself. It’s whose Skill your AI is running.

Lucas @LucasQin77

a week ago

A question has stayed with me for years:   When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value? Where does competitive advantage come from?   I think I found the answer this year. Two things made it click.   First, the stock

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A question has stayed with me for years:   When generic AI becomes capable of every kind of intellectual work humans do, what's left for human value? Where does competitive advantage come from?   I think I found the answer this year. Two things made it click.   First, the stock market.  I'm in the top 5% of US equity returns.   Trading is one of the cleanest experiments you can run, because everyone has access to the same tools: same charts, same news, same models. Today most traders use ChatGPT or Claude to research positions. Ten years from now, every trader will. And yet — the market will still have a top 5% and a bottom 20%. Same AI, same data, same access. Different outcomes.   Why? Because the same model gives different work to different people. The questions you ask, the angles you pursue, the patterns you notice: these are downstream of your mental model. The top 5% and the bottom 20% use the same tools differently, because they think differently. Mental model in, work out.   Second, OpenClaw.   When Skills started spreading this year as a real format, it hit me — a mental model isn't an abstract thing. It can be packaged. The way a top-5% trader actually thinks through a position — the questions they ask, the order they ask them in, the things they refuse to ignore — all of that can be written down as a Skill. And once it's a Skill, anyone can run it.   Which means: a top-5% trader's mental model, packaged as a Skill, run by someone in the bottom 20%, doesn't just give that person a tool. It gives them a different mind for the duration of the work.   This isn't only true for trading. Every field has its top 5% and its long tail. Every one of us is in the top 5% of something, and the bottom 20% of many other things. Which means every one of us has a Skill worth packaging — and a thousand others worth running.   That's the moat I think AI leaves us with. Not the work itself : the AI will do that. The packaged way you do the work, the difference between your output and the average — that's the part that compounds, that earns, that lasts.   Capafy is built on this idea. You package your edge as a Skill. When someone runs it, we spin up an isolated sandbox just for that run — your Skill executes inside, the user gets the output, but the Skill itself never leaves the sandbox. Closed-source online. Your method never leaves you. Every use pays you.   In ten years, the question won't be "do you use AI." Everyone will. The question will be: Whose Skill is loaded into your AI.   Maybe it comes from your own coding experience. Maybe it comes from years of industry expertise. Maybe it even comes from a top 5% US equity trader.   That's the moat.

Capafy is turning expertise into products. Upload your Skills once, keep them closed-source, and earn every time they’re used. From viral content systems to hiring frameworks and sales workflows expert Skills are now accessible on demand. The future of AI is skill powered.

Capafy @Capafyai

a week ago

Introducing Capafy: the Skill-based Agent Marketplace. Now your Skill runs as a product and earns while you sleep. On Capafy, you can upload your Skills, they run online while staying closed-source, and you get paid every time someone uses them. You can also use Skills

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@LucasQin77 Mental models may become the real moat

Introducing Capafy: the Skill-based Agent Marketplace. Now your Skill runs as a product and earns while you sleep. On Capafy, you can upload your Skills, they run online while staying closed-source, and you get paid every time someone uses them. You can also use Skills uploaded by industry top talent to get expert-level work done directly. You'll find Skills built from industry expertise in every field. Let's say: ·A creator with 100M+ views uploaded their viral video Skill; ·A recruiter who's screened 10,000+ resumes uploaded their hiring Skill; ·A top sales rep who's closed thousands of deals uploaded their cold email Skill. Skills uploaded by industry top talent across countless fields can be used directly to get excellent work done. - Launch your Skills: upload the Skills you've built in Claude Code, Codex, or OpenClaw, and get paid every time someone uses them. - Use expert Skills: get expert-level work done, not the average AI output. Use them in one click, or connect your own Agent via agent-to-agent and let it tap into the expert Skills on Capafy.

@Capafyai Skills becoming products is a huge shift

@sabir_huss50540 AI agents are finally becoming practical

We’ve had “AI agents” for a while. But most of them still feel like demos, not systems. That’s starting to change with models like SkyClaw-v1.0. 🧵

BREAKING.... Claude Design just launched. And this could change how creators, marketers, founders, and designers work forever. Powered by Claude Opus 4.7. You type an idea. It turns into: Prototypes Presentations Marketing assets Wireframes Visual concepts All from natural language. No endless tabs. No bouncing between tools. No "I know what I want but can't design it." The bigger shift? Al is moving beyond answering questions. Now it's building. Most people still think Al = chatbot. Meanwhile... The next generation of Al is becoming workflow infrastructure. Create. Iterate. Ship. Faster than ever. The people learning these systems early? They're building leverage the rest will chase later. This is one Al update you should absolutely pay attention to. And yes... This newsletter is a must-read if you're serious about Al in 2026 Follow @sabir_huss50540 I break down Al systems, workflows & creator tools that actually move the needle.

@sabir_huss50540 Nonlinear storytelling changes everything

@sabir_huss50540 AI 3D finally feels ready for pipelines

@sabir_huss50540 3D generation quality is leveling up fast

@sabir_huss50540 Creative control is getting insanely powerful

@sabir_huss50540 Low friction products usually win faster