AI Highlight

Same world, every shot. That is what OpenArt Worlds delivers. Build your environment once, then move through it freely, find your framing, and capture exactly what you envisioned. No more starting over.

YC just backed the startup that automates real estate deals from documents to Excel.

@ycombinator @downloadaltx @SamadiRyan Real estate just got its first AI that actually reads the docs.

Alt-X (@downloadaltx) builds AI agents that turn real estate deal documents into fully built underwriting models in Excel automatically, with every number cited back to the source. Congrats on the launch, @SamadiRyan and Michael! ycombinator.com/launches/PjC-a…

CodeRabbit Plan takes designs, goals, and constraints and hands you a structured prompt your agent can actually execute.

@MitcheIl Launch

@coderabbitai Hand your agent a plan instead of a prayer.

Introducing CodeRabbit Plan. Hand those prompts to whatever coding agent you use and start building!

Noah waitlists 7 out of 10 people based on their calendar. That is the kind of gatekeeping busy people actually need. Quality over quantity.

@ashishtoshniwal @HeyNoahAI An executive assistant that works like an executive assistant.

Introducing the world's first SMS/Voice executive AI assistant @HeyNoahAI, designed for very busy people who deeply care about their professional relationships. Noah waitlists 7 out of 10 people, depending on their calendar RT + comment "NOAH" and I'll send you the VIP onboarding link for FREE.

Treating depression with a device is so cool and so timely.

@thatssodhawal @mavehealth @Google @ufc @ycombinator @BlumeVentures Wild that we have AR glasses and BCIs in clinical trials and yet consumer brain stimulation is still so rare. good timing.

We've raised $2.1M to fix your focus. Our wearable headset @mavehealth improves attention & stress regulation in just 20 minutes a day for users at @Google, @ufc, @ycombinator. Backed by @BlumeVentures, alongside existing and new investors. Order now at mavehealth.com 🇺🇸🇮🇳

@milesdeutscher Five tools for five specific jobs is actually the right way to think about this. The mistake most people make is trying to use one for everything.

I'm about to make AI stupidly simple for you. This is ALL you need. Stop overcomplicating it. 1. ChatGPT: your everything model, daily driver 2. Gemini: image/video generation + anything Google-ecosystem related (think: Docs, Slides, Gmail, etc.) 3. Claude: your creative genius + Cowork (writing, coding, marketing, strategy) 4. Manus: the easiest way to automate simple tasks (email management, research, etc.) 5. Perplexity: best for data research (think: financial modeling, deep research) That's all.

@rohanpaul_ai Nearly two letter grades lower on comprehension while finishing only marginally faster. The productivity argument for learning workflows specifically just got a lot harder to make.

Anthropic's own study proves Vibe-Coding and AI coding assistants harm skill building. "AI use impairs conceptual understanding, code reading, and debugging abilities, without delivering significant efficiency gains on average" Developers learning 1 new Python library scored 17% lower on tests when using AI. Delegating code generation to AI stops you from actually understanding the software. Using AI did not make the programmers statistically faster at completing tasks. Participants wasted time writing prompts instead of actually coding. Scores crashed below 40% when developers let AI write everything. Developers who only asked AI for simple concepts scored above 65%. Managers should not pressure engineers to use AI for endless productivity. Forcing top speed means workers lose the ability to debug systems later. ---- Paper Link – arxiv. org/abs/2601.20245 Paper Title: "How AI Impacts Skill Formation"

@danmartell The people who figured this out early aren't worried about layoffs right now.

The more you build your own thing, the more unemployable you become.

@andrewchen The human coordination half eventually feeling slow unless it directly improves the agent loop is the uncomfortable endpoint of this whole framework. Most PMs aren't ready to hear that yet.

in a world of agents, the product role is going to split into two jobs: - one that organizes humans (stakeholders, design, eng) - one that organizes agents (prompts, evals, workflows, etc) Both will be in pursuit of offering the right products to customers, but how you get there will dramatically change. What happens to the typical product rituals? Instead of PRDs, OKRs, standups, product reviews, we'll need the equivalent for agents. Couple wild ideas here... instead of standups: the equivalent is that agents will report back to us based on run logs and anomaly flags. no one needs to say what they did yesterday, the system already did thousands of things. the question is where it broke, where it surprised you, and where it got better. Show us the patterns, the trends, the edge cases - particularly the ones the agents didn't fix automatically. the daily ritual becomes reviewing deltas, scanning failures, and deciding which ones matter. less reporting, more triage instead of OKRs: we’ll need adversarial agents that continuously monitor/grade the system and detect patterns, scoring outcomes on an hourly or daily basis. Rather than setting a quarterly goal of "increase X by 5%" and revisiting slowly -- instead, management will be able to monitor success in real-time and detect trends/patterns towards overall goals instead of PRDs: we won't need waterfall. Prototyping will rule the day, and we’ll need a living agentic loop that mediates customer feedback/ratings and what's being prioritized and built. you don’t hand it to eng, you deploy it into the agent loop. if it’s wrong, it fails visibly and you can revert. if it’s right, it produces the right output instead of product reviews: we'll need simulation systems to examine agent behavior in different scenarios. In an agentic world where UI shifts from buttons/menus to agents automatically doing things, you'll want to examine their behavior before you deploy. You rewind decisions, fork alternate paths, and see how different prompts or constraints would have changed outcomes. the review becomes interactive. less storytelling, more counterfactuals. The PM sits in the middle of this split. On the human side, still aligning taste, risk tolerance, and strategy across people. On the agent side, shaping the actual behavior of the system through prompts, evals, and feedback loops. one side is persuasion. The other is instrumentation. the best ones will collapse the gap, translating intent directly into systems that act on it. the fascinating part is that the agentic loop will run 10000x faster than the human one, and of course, you can "hire" them faster. Thus the “organizing humans” half starts to feel slow and lower impact unless it directly improves the agent loop. Eventually the PM will shift towards agents and maybe ignore the human coordination altogether...

@milesdeutscher Going through memory settings every few weeks to catch drift is the maintenance step nobody includes in these lists and it actually changes output quality over time.

I've been using Claude non-stop for the past year. I literally cannot live without these features. Do these 8 things, and you're already ahead of 99% of Claude users: • Custom Skills - easiest way to automate repetitive workflows (writing, grammar checks, research formatting, etc.) • Custom Plug-ins - the best way to literally automate entire roles - go to Cowork and set these up asap • Connectors - if you're not giving Claude access to your tools (Gmail, Calendar, Design tools, etc.) - you're leaving MASSIVE productivity on the table • Projects - take <10 minutes to organize your Claude • Stars - take <5 minutes to star the chats you use often (Skill chats) • Memory - every few weeks, go through your memory settings to reduce hallucinations • Extended Thinking - most people forget this exists • Claude in Chrome - most people have no clue this exists - Claude Chrome extension that enables Claude to live in your browser Everyone should set these features up ASAP.

@aiwithmayank The risk management agent reviewing every decision before execution is the layer most solo traders skip and then regret. Baking it into the architecture by default is the right call.

Holy shit... a developer just built an AI hedge fund that runs on your laptop. It's called TradingAgents and it deploys 7 specialized LLM agents that mirror a real trading firm. You don't need Bloomberg terminal. Just: - 4 analysts (fundamentals, sentiment, news, technical) - 2 researchers running structured bull vs bear debates - 1 trader agent making the final call - Risk management reviewing every decision before execution Works with Claude, GPT-5, Gemini, Grok, or local Ollama models. 100% Opensource. Link in comments.

@SimslearnAi Amazing prompts Thanks for sharing!

🚨 𝗕𝗥𝗘𝗔𝗞𝗜𝗡𝗚: Claude can now build you a full website in hours — not weeks. Here are 10 powerful prompts that can help you create a website that looks worth $5,000+ (Save this before everyone starts using it)

@GrammarHippy The model learned from the best copywriters who ever lived. Using it well is knowing how to direct that knowledge toward your specific problem.

Claude writes better copy than I do. Butttt… It’s not Claude writing. It’s the best copywriters to ever live who are. It’s so good that after writing copy for 13 years - I never write copy anymore. Ever. Ads. Sales letters. VSLs. Everything. Let me show you how.