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GIVEAWAY

Create your own AI Agents 👨‍🏭👩‍🏭

You don’t need another productivity hack, You need a system that works without you.

On April 24th at 10 AM EST, something different is happening:
We’re hosting a Masterclass that dives deep into building AI agents that actually run your work.

No fluff.
No theory.
Systems that execute while they sleep, create, and scale.

• Imagine your email replies are done. 📬

• Instagram posted. 📸

• Calendar managed. 🗓️

• 40+ apps humming in the background. ⚙️🤖

• All without lifting a finger. 🧘‍♂️

This is your invite.

First 50 get in free. Then the doors close.

🎟️ Save Your Seat – Before It’s Gone

OpenAI just gave its Operator agent a serious upgrade

OpenAI has swapped out the brain behind its Operator agent. The new model, called o3, is a major leap forward in reasoning and safety.

Here’s everything you need to know:

• Operator can now browse the web and use cloud software with o3, a model built for complex tasks.

• o3 outperforms its predecessor (a customized GPT-4o) on math and reasoning benchmarks.

• The new version is fine-tuned with extra safety data to help it say “no” when it should.

• OpenAI says o3 Operator is better at resisting prompt injection and illicit requests.

• Unlike regular o3, this version can’t run code directly it works within limits.

• Google, Anthropic, and others are also racing to release agent tools that act autonomously.

• The API version of Operator will still use GPT-4o for now.

Agent-style AI is moving fast and so are the expectations. Swapping in o3 gives OpenAI’s Operator more muscle and more guardrails. But the real test will be how users push those limits in the wild.

Jules isn’t a co-pilot it’s an autonomous developer

Google has released Jules, its async coding agent, into public beta. It’s available globally wherever Gemini runs no waitlist required.

Here’s everything you need to know:

• Jules clones your repo into a secure Google Cloud VM and gets to work.

• It handles real tasks: writing tests, fixing bugs, building features, updating dependencies.

• Work happens asynchronously you stay focused while Jules works in the background.

• You get a clear plan, its reasoning, and a diff of every change.

• It’s private by default: your code isn’t used for training, and data stays isolated.

• Jules uses Gemini 2.5 Pro and supports parallel execution for complex changes.

• It integrates directly into GitHub, with steerable workflows and even audio changelogs.

Jules marks a shift from assistive to autonomous development. It’s not about faster autocomplete it’s about trusting an agent with real, multi-step engineering tasks. If it works as promised, this could be the blueprint for how agents reshape software teams.

Thanks for reading…

That’s a wrap.

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