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+ Deep Research & Operator Updates, Gemini 2.0 & More

My fellow AI explorers

If it feels like the AI world is moving at the speed of light, you’re not alone.

We’ve just had another whirlwind week of AI madness, with OpenAI dropping what might be its most powerful feature yet, Google firing back with a suite of fresh models, and Replit stepping into the game with a mobile app that lets you build apps—on your phone.

For free.

In today’s edition:

  • šŸ¤– OpenAI’s game-changing Deep Research and Operator tools.

  • šŸ’” Google’s new Gemini models and why they might give OpenAI a run for its money.

  • 🌐 Replit’s agentic system that can build mobile apps with zero coding.

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  • šŸ¤– Lindy: Create personalized AI agents to automate daily personal tasks and business-specific functions

  • 🦮 MultiOn: Your personal AI Assistant that acts on your behalf.

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Open AI

OpenAI’s Big Move: Deep Research and Operator Take Center Stage

Every now and then, an AI company drops something so powerful that it reshapes how we work. OpenAI just did that—twice.

Over the past two weeks, OpenAI has shipped more consumer-relevant features than they did in all of 2024, and the highlights are Deep Research and Operator. If you haven’t heard about these yet, you’re in for a treat.

How this can help you:

  • Automate Complex Research – Generate deep, structured reports with a single prompt.

  • Save Time & Effort – Perform 5-20 hours’ worth of work in minutes.

  • Expand AI’s Role in Daily Tasks – Operator can assist in messaging, data entry, and even bookkeeping.

Deep Research allows you to uncover hidden insights, summarize dense documents, and pull in connections across vast datasets with minimal effort. Imagine asking it to find the most underexplored research from the 1960s and getting a fully referenced, AI-generated report in return.

Meanwhile, Operator acts as a personal assistant that can handle everything from Facebook Marketplace negotiations to grocery shopping. But be careful—one user ended up with 30 bananas instead of five! This tool is powerful, but fine-tuning is key.

These tools signal a shift toward Agentic AI, where models don’t just respond—they act on your behalf.

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AI App Builder:

Replit’s AI-Powered App Builder: Build Apps with Zero Code

Imagine an app that lets you build other apps—right from your phone. That’s exactly what Replit’s new mobile app does.

Why this matters:

  • No coding skills required – Just describe what you want, and AI builds it.

  • Prebuilt templates – Launch a soundboard, game, or daily challenge in minutes.

  • Completely free (for now) – No cost to try it out.

One user built a functional piano soundboard in under two minutes. This is agentic AI in action—where the AI isn't just generating code but fully constructing applications.

Expect tools like this to reshape entrepreneurship and app development, making it easier than ever for non-technical creators to bring ideas to life.

Google AI

Google’s New Gemini Models: Free, Fast, and Functional

Not to be outdone, Google has entered the AI arms race with a wave of Gemini 2.0 models—and some of them are free to use.

Key Takeaways:

  • Massive Context Windows – Gemini Pro 2.0 offers a 2-million token limit, dwarfing GPT-4’s 128K.

  • New "Thinking" Models – They take a moment to process, leading to smarter outputs.

  • App Integrations – Gemini models can now interact with YouTube, Calendar, and Drive.

Google’s advantage? Their AI can directly interact with Google services. That means pulling transcripts from YouTube, organizing your Google Docs, and even planning travel routes in Maps—all from within the Gemini chat.

If OpenAI's Deep Research is a high-powered research assistant, then Google's Gemini models are shaping up to be the ultimate productivity assistant.

30-Second AI Play

How to Use Deep Research Like a Pro

If you have access to OpenAI’s Deep Research tool, here’s how to make the most of it.

  1. Ask Broad, Then Refine – Start with a general question like, What are the most overlooked breakthroughs in physics from the past 50 years? Then narrow down based on the response.

  2. Use Structured Outputs – Request outputs in tables, timelines, or step-by-step reports to make them easier to digest.

  3. Cross-Disciplinary Insights – Connect the dots by asking, How do these findings relate to advancements in AI? AI thrives on pattern recognition, so leverage that.

Other Relevant AI News!

  • Anthropic launches a jailbreaking challenge—and one user is already demanding they open-source the dataset. Read more.

  • Riffusion debuts a free AI music generator that rivals paid alternatives. Check it out.

  • Mistral’s new AI chat model is 12x faster than GPT-4. If speed is what you need, this might be your new go-to. Try it here.

Golden Nuggets

  • 🌐 OpenAI’s Deep Research can replace hours of manual research with a single prompt.

  • šŸŽ‰ Google’s Gemini models offer powerful AI integrations—for free.

  • šŸ’» Replit’s no-code app builder makes launching apps easier than ever.

What did you think about today's edition

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Until our next AI rendezvous,

Anthony | Founder of Uncover AI

P.S. Join over 100,000 people using Soverin AI for free to browse the top 1% of AI tools on the market (We vetted over 20,000 of them šŸ˜…)

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