the_AI_Avenger

A home description and property walkthrough can become a fully produced real estate showcase for online buyers with Avatar V and @HyperFrames_ We put together a full breakdown of the workflow and iteration process below ↓

@jerryjliu0 U have anniPhone app yet or do i need to make one ?

Scan documents with your iPhone 📱, digitalize it with LlamaParse ✍️ We now support parsing HEIC formats natively in LlamaParse (along with 50+ other formats, incl. PDF, Word, Powerpoint, HTML) Try it out now: cloud.llamaindex.ai/?utm_source=xj…

Want to understand Claude Code? Study the harness, not just the prompts. claude-code-from-scratch is a Python learning repo that reverse-engineers Claude Code-style agent architecture through 23 incremental sessions. It helps you build a practical mental model for tool-using agents by walking from a minimal perception/action loop into planning, subagents, context management, permissions, streaming, MCP, and worktree-based task isolation. Key features: • Incremental 23-session path – starts with the basic agent loop and adds one mechanism per file • Shared core foundation – core.py centralizes model config, tools, dispatch, permissions, and loop helpers • Agent building blocks – covers tool dispatch, TodoWrite-style planning, subagents, skills, context compaction, and task graphs • Runtime + governance examples – includes background tasks, streaming output, YAML permissions, lifecycle hooks, and session resume/fork • Advanced integration patterns – adds parallel tools, interrupts, prompt-cache tracking, MCP runtime, Redis mailboxes, and git worktree lifecycle management It’s open-source (MIT license). Link in the reply 👇

@harobuilds @DataChaz Wrong - NTFS Acls

@DataChaz obsidian users saw the same limitations years ago and stayed anyway because files on disk dont need permissions

Obsidian users after reading this:

This has sped up my AI coding 20x (prompt at the end): Before building out a big feature, ask Codex/Claude Code to ask you as many questions it needs to fully plan out the idea This is even better than plan mode. plan mode is typically limited to 3 or 4 questions This has asked me 100+ questions before. Seems like a lot but actually saves you time in the long run The plan it builds will be so detailed and complete that it can basically run autonomously and build the entire thing But here's where you take things to the next level: You also have it take your entire plan and create detailed Linear issues for it It should create 20+ tasks in Linear Then it's as easy as saying "ok work on the next thing" over and over until the feature is done Highly recommend downloading and using Linear if you haven't yet. Amazing project management tool w/ excellent free tier Will basically capture all these details and put your agent on autopilot. It's a 2nd brain. Use this prompt: "I want to build out *describe your feature in detail*. Ask as many questions you need of my to fully understand every detail of what I want to build out. Then take everything you learn, and create super focused and detailed Linear issues. Then begin work" Getting so much more high quality code out with this workflow. You're welcome.

Microsoft dropping a massive Playwright update geared specifically for agents, Webwright! This is an absolute game changer for agentic browser use as every session becomes a reusable workflow The repo includes a @NousResearch Hermes Agent skill 😍 microsoft.github.io/Webwright/

How to build a vertical AI agent cash-flowing startup: find painful workflow in a boring industry → talk to 10 people who do that workflow every day → map every step, every tool, every spreadsheet, every phone call → do the workflow manually first → be the agent before you build the agent → find the edge cases that break everything → document them in obsidian as structured markdown → set up your agent stack → hermes for the harness → obsidian vault as the knowledge base → composio for authentication across apps → build your first 1-3 skills that solve the core pain → use claude code or codex to build the product → use agents to set up other agents → use perplexity MCP and context7 for up-to-date docs → let the agent handle the scaffolding while you focus on the workflow logic → ship the agent to your first 5 customers for free → watch what they actually use it for → they will surprise you → the thing you built for isn't always the thing they need most → build content around the niche → not "building in public" content → useful content → the tips, the shortcuts, the pain points that only someone who does this workflow would know → become the person for that niche → charge per outcome not per seat → per lease renewed, per claim processed, per candidate sourced → the ROI conversation takes 10 seconds when it's tied to a result → set up watchdogs and alerts → your agent emails you when a cron job breaks or a skill fails → the customer should never have to tell you something is broken → connect to open router → see exact costs per model per task → use GPT 5.5 for tool calls → use open source for lightweight tasks → route the right model to the right job → watch your margins double → let hermes write to its own memory after every task → the agent compounds → the longer it runs the better it gets → that accumulated memory becomes your moat → a competitor can clone your product but they can't clone 6 months of context → expand the workflow → you started with one step → add the next → then the next → now you own the entire workflow end to end → you went from a tool to the operating system for that vertical → stack the agents → one agent is a side project → five agents across five customers is a business → each one runs in its own environment → you check in once a day → raise only if you need capital not credibility → most agent businesses should never raise → the margins are too good to give away equity → stay lean → stay profitable → repeat i'm rooting for you

@AlfieJCarter 31

Claude For Small Business is INSANE. I've built a complete breakdown of all 31 Anthropic Small Business skills that maps every workflow, connector, and automation in under 10 minutes. The same skill stack that had 382,000 downloads on its first day. Financial operations, sales and client work, HR and hiring, marketing and growth, reporting and dashboards. Inside the breakdown: - All 31 skills organised by function with the 5 to run first - The 12 connector setup guide in priority order with permission settings for every sensitive action - Worked examples for Business Pulse, Invoice Chase, and Job Post Builder with real output shown Want a copy? Like + Comment "31" and I'll send it over ASAP (Must be following)

Today we're open-sourcing Bumblebee, a read-only scanner for macOS and Linux. It checks developer machines for risky packages, extensions, and AI tool configs. Connected to Computer, it can trigger deeper scans whenever a new supply-chain risk emerges. github.com/perplexityai/b…

Hunts down social media accounts across 400+ networks github.com/sherlock-proje…

I DON'T UNDERSTAND WHY PEOPLE DON'T USE THE NEW CHATGPT image FOR GRAPHICS DESIGNING. Here are 8 prompts that turn wasted hours into a strategy + crazy examples 👇

This guy took notes in Obsidian every single day for 1 full year. 365 days. No breaks or skipped weeks. He started with 0 notes and 0 connections. Just an empty vault and a habit he was not sure would stick. His second brain remembered everything. This is exactly the problem I was trying to solve when I built my Web Clipper templates. Most people clip articles and books into Obsidian and never touch them again. I spent 4 months testing 6 templates on everything from dense research papers to 500 page books until I found what actually turns captured information into connected thinking. Full breakdown in my article👇

🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time" he's not talking about people who use AI everyone uses AI. he's talking about people who know the stack. agents. frameworks. tools. workflows. skills. automations Bookmark it.

Instead of watching Netflix tonight Spend 1 hour learning how to build Anthropic's most viral feature: Generative UI Andrew Ng's DeepLearningAI just released a new free course on it, covering the full stack from scratch. Claude Artifacts showed what happens when agents generate UI instead of text, like charts, dashboards, and interactive components, all assembled live inside the chat. Every major AI product tried to replicate it. @CopilotKit is THE only open-source framework that actually lets you build your own fullstack Claude-like apps. The course by them covers three approaches on the Generative UI spectrum, including: 1) Controlled → the agent picks from pre-built components like pie charts and flight cards. 2) Declarative → the agent assembles layouts from reusable building blocks using A2UI, co-developed with Google. 3) Open-ended → the agent generates arbitrary HTML/SVG from scratch, streamed token-by-token into a sandboxed iframe. You can implement the entire Generative UI spectrum through AG-UI, and it works out of the box with LangGraph, Google ADK, CrewAI, Mastra, AWS Strands, and more. This entire stack is built on top of CopilotKit. 31k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the course link below, along with the CopilotKit GitHub repo. Devs who watch this tonight will know how to build agent interfaces that go beyond plain text by tomorrow. Don't forget to bookmark the post so you can revisit it later.

Every AI agent today has the same problem. It forgets everything the moment the session ends. Your workflow. Your preferences. The fixes it learned yesterday. All gone. Hermes Agent is one of the first projects pushing in a completely different direction. Instead of treating AI like a temporary chat window, it treats it like a system that should: • remember • evolve • reuse experience • and improve over time That’s why developers are suddenly paying attention to it. The architecture behind it is genuinely interesting: • self-evolving skills • multi-layer memory • cross-session recall • autonomous agents running 24/7 • GEPA optimization loops • persistent personalities & workflows The result feels less like “using an AI tool” and more like building a long-term AI operator that compounds with usage. Made this infographic to simplify how the whole system actually works because this is easily one of the most interesting open-source AI agent projects right now.

why should you be grok maxxing?

@TulsiGabbard @ODNIgov 🙏

I am deeply grateful for the trust President Trump placed in me and for the opportunity to lead @ODNIgov for the last year and a half. Unfortunately, I must submit my resignation, effective June 30, 2026. My husband, Abraham, has recently been diagnosed with an extremely rare form of bone cancer. He faces major challenges in the coming weeks and months. At this time, I must step away from public service to be by his side and fully support him through this battle.