Meta resets while Anthropic drops managed agents

How to evolve your Claude Code

I’m using Claude Code every day, but I have no coding background. I’ve gotten CC to be a beast at coding from me not because I’m good at prompting, but because I’ve learned how to set it up properly.

Here’s the thing, it’s really not that hard. It really comes down to some basics:

1/ installing the right MCPs
2/ installing the right skills
3/ installing the right browser automations

It’s crazy easy to learn, and I’ve broken it down for you for free. Here is the link. 

Good morning,

Today’s AI story is less about a single breakthrough and more about where the market is heading. Meta is trying to reset around distribution, Anthropic is making agents easier to ship, and Glasswing reinforces that some capabilities are now serious enough to change how labs deploy them.

Let’s dive in 👇

🧠 Labs Reset Their Product Strategy

Meta resets with Muse Spark

Meta rolled out Muse Spark, the first major model from Meta Superintelligence Labs and the clearest sign yet of its post-Llama reset. The model may not beat every frontier rival on coding or long-horizon agent tasks, but Meta does not need the best model if it can push a strong one through Instagram, WhatsApp, Facebook, Messenger, and smart glasses at massive scale.

Source: Ars Technica

Anthropic productizes agent infrastructure

Anthropic launched Claude Managed Agents in public beta, turning long-running sessions, secure sandboxes, scoped permissions, checkpointing, tracing, and multi-agent coordination into a productized platform. That matters because it makes agent deployment feel less like a custom engineering project and more like a software layer teams can buy and operationalize.

Sources: Anthropic, TestingCatalog

Glasswing raises the stakes in cybersecurity

Anthropic says its unreleased Claude Mythos Preview found thousands of high-severity vulnerabilities and is being shared through Project Glasswing with major partners for defensive use. Instead of broad release, the company is effectively treating the model like a coordinated vulnerability-disclosure event at AI scale, which signals just how seriously some frontier capabilities are now being handled.

Sources: Anthropic Glasswing, Anthropic security post

🏗️ AI Gets More Operational

GLM-5.1 keeps the open-model agent race alive

Z.ai introduced GLM-5.1 as an open model built for long-horizon agentic engineering, with positioning around multi-hour task execution and strong coding performance. If the claims hold up, it keeps pressure on the closed labs in the exact area developers care about most, coding, tool use, and autonomous task completion.

Source: VentureBeat

Perplexity turns attention into software economics

Perplexity reportedly crossed $450 million in annual recurring revenue after a pricing shift and a stronger push into agentic products. That makes it one of the clearer examples of an AI company converting attention into real workflow value, not just chat usage.

Source: Proactive Investors

🛠️ Tools of the Day

→ Adaptive, The Agent Computer - a computer built for AI agents with connected tools, browser actions, and reusable memory
→ Kodo - turns prompts into editable posters, slides, menus, and social graphics
→ Raccoon AI - a web-based agent workspace with its own terminal, browser, and internet access

⚡ Quick Hits

→ Canva acquired Simtheory and Ortto
→ xAI reportedly trains seven new models
→ OpenAI published a child-safety blueprint
→ Google’s AI Edge Eloquent goes offline

🧠 TLDR

Meta is trying to reset around distribution, Anthropic is productizing agent infrastructure while tightly controlling high-risk capabilities, and frontier AI is increasingly being deployed like operational infrastructure instead of pure demo software. The market is moving from experimentation toward controlled rollout, workflow value, and real-world consequences.

Cheers,
David