Good morning, AI enthusiast.

Anthropic just released its latest flagship model, an AI agent with the stamina to autonomously handle complex projects for over 30 hours straight. The new Claude Sonnet 4.5 represents a major leap in agent capability and coding performance.

This moves AI beyond simple chatbots and into the realm of tireless digital colleagues. With agents now able to manage entire workflows, what does this new level of endurance and autonomy mean for the future of software development?

In today’s AI recap:

• Build and AI Agent for auto shops to help recover lost revenue ($10,000 / year) - Watch here

• Anthropic's new 30-hour AI agent

• ChatGPT launches Instant Checkout

• 8 trending AI Tools

Anthropic's 30-Hour Agent

The Recap: Anthropic launched Claude Sonnet 4.5, its new flagship model that excels at coding and can operate autonomously on complex projects for over 30 hours straight.

Unpacked:

• Sonnet 4.5’s stamina represents a major leap in agent capability, jumping from the seven-hour autonomous runtime of its predecessor.

• The company claims it's the world's best coding model, scoring 77.2% on the SWE-bench benchmark for real-world software development tasks.

• Beyond the model itself, Anthropic released a suite of developer tools, including the Claude Agent SDK, to help you build your own custom AI agents.

Bottom line: This release pushes AI further beyond simple chatbots and into the realm of tireless digital colleagues. The focus is shifting toward autonomous agents that can manage entire workflows, freeing up developers and professionals to tackle more creative challenges.

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AI Tools of the Day

1. 🕸️ FetchFox - Scrape data from any website by describing what you need in plain English, completely eliminating the need for code.

2. 🧠 Minduck - Ditch text prompts and interact with AI visually through mind maps to intuitively build out complex ideas and content.

3. 🎮 Inworld - Build unbelievably lifelike and intelligent NPCs for games that can hold unscripted conversations and dynamically react to players.

4. 🏗️ Dynamiq - Develop and deploy powerful AI agents on-premise using a low-code builder, giving you full control over your data and workflows.

5. 🧮 Text to LaTeX - Instantly convert natural language descriptions of complex mathematical formulas into perfectly formatted LaTeX code without memorizing syntax.

6. 📈 Zola Analytics - Generate complex financial charts and data visualizations in seconds just by asking questions, automating tedious Excel and PowerPoint work.

7. ⚡ Anakin AI - Visually build and automate complex AI workflows by connecting different models and apps, no coding required.

8. 🤖 Wondershare Virbo - Create professional videos from just text by using realistic AI avatars and voices, perfect for scaling content production.

Explore the Best AI Tools Directory to find tools that will 10x your output 📈

Buy It in ChatGPT

The Recap: OpenAI is turning ChatGPT into a storefront with its new 'Instant Checkout' feature, letting U.S. users buy products directly within the chat interface.

Unpacked:

• The entire experience is powered by the new Agentic Commerce Protocol, an open standard co-developed with Stripe to let AI agents and businesses securely complete purchases.

• Businesses retain full control over their payments, fulfillment, and customer relationships, acting as the merchant of record for all transactions.

• The checkout is initially available for purchases from U.S. Etsy sellers, with over a million Shopify merchants like Glossier and SKIMS coming soon.

Bottom line: This move transforms ChatGPT from a research tool into a direct sales channel, creating a new discovery platform for e-commerce. It signals a major step toward a future where AI agents not only provide information but also execute complex tasks on your behalf.

AI Training

I Built an AI Agent for a Car Mechanic ($10,000 recovered a year)

The Recap: In this video, I'm going to show you how to build an AI Gmail agent that was able to recover $10,000 in lost revenue for an auto shop. This system connects to the auto shop's inbox and is able to immediately follow up with customers if the shop needs more details from them to prepare an accurate quote.

P.S. We also launched a free AI Automation Community for those looking to build and sell AI Automations — Come join us!

AI's Next Frontier

The Recap: With large language models hitting a performance plateau, AI giants like Google, Meta, and NVIDIA are pivoting to “world models.” These new systems learn from video and simulations to understand the physical world, marking the next major push in the race for more capable AI.

Unpacked:

• The move is driven by a growing belief that text-based LLMs are reaching their limits and, according to critics like Meta’s Yann LeCun, will never achieve human-like reasoning.

• Google DeepMind’s Genie 3 showcases this new direction by generating interactive, game-like virtual worlds from a single image, creating scalable training grounds where AI can learn without real-world consequences.

• NVIDIA is betting big on what its CEO calls physical AI, asserting that these new models will drive the next wave of growth in robotics and autonomous systems.

Bottom line: This strategic shift moves AI from processing text to understanding real-world cause and effect. Success in this area will accelerate advancements in autonomous systems and robotics, impacting industries far beyond the digital realm.

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The Shortlist

California signed the Transparency in Frontier Artificial Intelligence Act into law, requiring leading AI developers to publish public safety frameworks and report critical incidents.

DeepSeek released DeepSeek-V3.2-Exp, an experimental model that introduces a novel sparse attention mechanism designed to improve efficiency in long-context scenarios.

Lufthansa announced plans to cut 4,000 administrative jobs by 2030, citing the increased use of digitalization and artificial intelligence to boost efficiency.

Huawei plans to double the production of its flagship Ascend 910C AI chip in 2026, ramping up its challenge to NVIDIA's dominance in the Chinese market.

Signing off,

David, Lucas, Mitchell — The Recap editorial team