GPT-5 is a PhD-level Expert in Your Pocket

Today’s top AI Highlights:

1. OpenAI just handed one of the smartest AI models to everyone

2. First vibe coding platform that lets you build your AI Workforce

3. Turn your pictures into a beautiful storybook with Gemini

4. Cursor is now available in your Terminal

5. Route requests to any other LLM within Claude Code

& so much more!

Read time: 3 mins

AI Tutorial

Finding the perfect property in today's competitive real estate market can be overwhelming. With thousands of listings across multiple platforms, varying market conditions, and complex investment considerations, homebuyers often struggle to make informed decisions efficiently. What if we could create specialized agents that work together like a professional real estate team?

In this tutorial, we've built a multi-agent AI real estate agent team that provides detailed property listings, market insights, and investment analysis all in one interface without you having to search multiple websites.

This system uses three specialized agents working in concert:

1. Property Search Agent that finds listings across major platforms,

2. Market Analysis Agent that provides neighborhood insights, and

3. Property Valuation Agent that delivers investment analysis.

We share hands-on tutorials like this every week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.

Don’t forget to share this newsletter on your social channels and tag Unwind AI (X, LinkedIn, Threads) to support us!

Latest Developments

Build Your Own AI Engineering Team With Just Prompts 🤖🖥️⚡️

Vibe coding platforms like Bolt and Lovable peak at landing pages and simple apps, and wonder why builders aren’t very impressed.

This platform builds applications that actually matter - the ones people pay money for - without you writing a single line of code.

Emergent is a fully agentic vibe coding platform to build production-grade, full-stack applications that include real Python backends, API and MCP server integrations, scalable databases, and authentication systems - all from one sentence.

And this is where it gets even more interesting: You can now create your own custom AI agents that understand your specific workflow and requirements, all with simple English prompts.

Want an agent that reviews code for security vulnerabilities in your specific tech stack? Build it. Need an agent that researches your competitors before building? Done. No other vibe coding platform even comes close to this level of customization.

Key Highlights:

1. Build Custom Agents - Just describe your agents in plain English. The system automatically extracts personas, maps relevant tools, discovers compatible sub-agents, and validates everything before deployment. It is really that simple!

2. Multi-Agent Teams like Real Teams - Deploy networks of specialized sub-agents that collaborate autonomously, with main agents delegating to experts in specific domains while preventing cognitive overload and enabling modular scalability as your needs evolve.

3. Templates to Build Faster - Choose from four specialized templates, including Empty Canvas for complete freedom, Edit-Based for modifying proven patterns, Read-Only for security-critical functions, or One-Shot Reply for support workflows, all ready within minutes.

4. Full Ownership - Your custom agents, your specialized workflows, your competitive advantage. Unlike generic AI tools, these agents become part of your toolkit that no one else can replicate.

Build your custom AI agent now at emergent.sh.

OpenAI Releases GPT-5 for All ChatGPT Users 🧠💡👫

This is a significant moment in the AI industry where an expert-level model has been handed to literally everyone, even the free users.

OpenAI just dropped GPT-5, and it's not just another incrementally improved model update. It's a unified system with a smart and fast model that answers most questions, a deeper reasoning model (GPT‑5 thinking) for harder problems, and a router that decides in real-time which model to use based on the prompt complexity.

GPT-5 absolutely nails real-world coding tasks like web development in one shot, competing neck-to-neck with Claude Opus 4.1. Here’s a compilation of some amazing coding usecases you can take inspiration from!

The benchmarks also reveal excellent performance in math, agentic tool use, health, and cuts hallucinations by 45% compared to GPT-4o.

What’s wild is that, for the first time, free users get access to a reasoning model that can actually think through complex problems before responding. GPT-5 is rolling out as the default model across all ChatGPT tiers starting today.

Key Highlights:

1. Unified Thinking - Automatically switches between fast responses and deep reasoning based on query complexity, with a smart router that learns from user behavior and gets better over time.

2. Built-in Tools - Comes with web search, file analysis, image generation, and coding capabilities baked in, plus the ability to chain together dozens of tool calls for complex multi-step tasks.

3. Performance Benchmarks - Achieves state-of-the-art results across coding (74.9% on SWE-bench), health questions (46.2% on HealthBench Hard), and multimodal understanding (84.2% on MMMU).

4. Universal Access - Available to all users today, with free users getting their first taste of reasoning models, while Pro subscribers get unlimited access plus GPT-5 Pro for extended reasoning.

Now, here’s the interesting part for developers. You get three specialized variants through the API: gpt-5, gpt-5-mini, and gpt-5-nano, each optimized for different performance-cost trade-offs, starting at $0.05 per million input tokens for nano. The API introduces game-changing features like custom tools that accept raw text instead of JSON, verbosity controls, and minimal reasoning modes for ultra-fast responses.

1. Custom Tools & Raw Text - Send Python scripts, SQL queries, or config files directly to tools without JSON wrapping, plus context-free grammar support for strict output formatting.

2. Reasoning Controls - New reasoning_effort parameter with minimal, medium, and high settings, plus verbosity controls to dial response length from concise to comprehensive.

3. Improved Instruction Following - Scores significantly higher on COLLIE and MultiChallenge benchmarks, with better tool chaining, error handling, and the ability to output visible progress messages.

Do go through OpenAI’s cookbooks on the prompting guide to use GPT-5.

Everything’s amazing about this release. Though….

Looking for unbiased, fact-based news? Join 1440 today.

Join over 4 million Americans who start their day with 1440 – your daily digest for unbiased, fact-centric news. From politics to sports, we cover it all by analyzing over 100 sources. Our concise, 5-minute read lands in your inbox each morning at no cost. Experience news without the noise; let 1440 help you make up your own mind. Sign up now and invite your friends and family to be part of the informed.

Subscribe to 1440 today.

Quick Bites

Most TTS models are absurdly heavy, multi-billion parameter hogs, then there's KittenTTS with natural-sounding voices into 25MB with zero GPU requirements. KittenTTS is an opensource speech model with just 15M parameters. It comes with eight preset voices and runs faster than real-time on everything from M1 Macs to Raspberry Pis. This is still an early checkpoint trained on under 10% of their data, yet the voice quality already rivals models 100x its size. Available to download on Hugging Face (there are already 13,000+ downloads within 2 days of release 😳).

Google Gemini can now create personalized 10-page illustrated storybooks from simple text prompts, complete with AI-generated narration that sounds remarkably natural and expressive. It transforms everything from family photos to abstract concepts into fully illustrated stories, with voice synthesis so convincing it feels like a professional audiobook narrator. Great for bedtime stories, memory preservation, or explaining complex topics to children through custom tales.

CUA just dropped @trycua/computer, bringing full computer-use automation to JavaScript and TypeScript for the first time. Web developers can now control real cloud desktops directly from React, Vue, Next.js, or any JS environment—click, type, screenshot—without Python dependencies or server complexity. One npm install command opens up pixel-perfect UI testing, live AI demos, and in-app assistants that actually move the cursor.

Cursor is now in your terminal in early beta. You can now review agent edits, steer AI work in real-time, and customize behavior with rules and MCP - all without leaving your preferred development environment. The beta works across any IDE or terminal, making AI coding assistance truly workflow-agnostic.

Tools of the Trade

1. Claude Code Router: Routes Claude Code requests to different models based on task, using cheaper models for routing and tool invocation and larger models for coding and reasoning. Great to reduce Anthropic API cost while maintaining Claude Code's interface.

2. Palmier: Triggers AI agents to perform code-related tasks like bug fixes, documentation, and code reviews based on GitHub repository events. It connects to your GitHub workflow to automatically handle development tasks without storing your code on their servers.

3. Tabby: Free and opensource terminal emulator that serves as an alternative to standard terminals on Windows, macOS, and Linux, supporting SSH, local shell, and Telnet connections. Comes with features like tabbed interfaces, split panes, customizable themes, plugins, and connection management with support for agent forwarding and jump hosts.

4. DeepFace: Wraps multiple face recognition models (FaceNet, OpenFace, etc.) and gives face verification, recognition, and facial attribute analysis (age, gender, emotion, race). It handles the complete recognition pipeline, including face detection, alignment, and embedding generation with a simple API.

5. Awesome LLM Apps: Build awesome LLM apps with RAG, AI agents, MCP, and more to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos, and automate complex work.

Hot Takes

1. If I hear people talk about "AI agents" these days it's generally a red flag and I know they're non-technical ppl reading AI news but not actually shipping anything

   Not cause I don't believe in AI agents but it's such a marketing term with no real meaning at this point ~
   levelsio
   
   

2. "phd level intelligence"

   "best codegen ability"

   have you considered the idea that phd code quality is garbage ~
   anirudh

That’s all for today! See you tomorrow with more such AI-filled content.

Don’t forget to share this newsletter on your social channels and tag Unwind AI to support us!

Unwind AI - X | LinkedIn | Threads

Awesome LLM Apps | Sponsor Us

PS: We curate this AI newsletter every day for FREE, your support is what keeps us going. If you find value in what you read, share it with at least one, two (or 20) of your friends 😉