Happy Friday! This is Ryan Staley of Whale Boss where I share the latest weekly insights, prompts, and workflows to unleash the power of AI! 🔥

We’ve partnered with our friends at Captivate Talent to better understand how AI and AI Agents are reshaping go-to-market strategies.

We’re running a benchmarking survey to uncover how SaaS teams are adopting AI and autonomous agents, and we’d love your input.

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Take the survey: https://captivatetalent.typeform.com/to/B1AyjCLi (We are collecting data through the end of April and will share benchmarks in May to those who respond).

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_{Here’s what we got for you:}

• 🤖 The Hype vs. Reality of Manus: An AI Agent Deep Dive

• 🎧 Weekly Podcast Updates

• 🚀 Introducing OpenAI o3 and o4-mini

• ❇️ OpenAI is building a social network

• 😮 Grok gains a canvas-like tool for creating docs and apps

• 🤖 Google Classroom gives teachers an AI feature for quiz questions

• 😎 OpenAI’s new GPT-4.1 AI models focus on coding

 🤖The Hype vs. Reality of Manus:
An AI Agent Deep Dive

Just tested one of the MOST HYPED AI agents on the market - here's the unfiltered breakdown you need to know before diving in.

The Power Setup: How I Stretched Manus to Its Breaking Point

I challenged Manus to perform a multi-step LinkedIn content analysis that would crush most standalone LLMs:

• Find viral LinkedIn content (1500+ engagements)

• Deconstruct virality patterns across 5 dimensions

• Build reusable templates

Prompt Used:

Your GOAL is to perform the following multistep process in finding viral content on LinkedIn, deconstructing why it is viral based on copy structure, post formatting, idea and audience. Please do the following:

1. Find 5 high qualitative content posts from LinkedIn specifically on AI that have over 1,500 engagements (likes and/or comments) from the past 7 days.

2. Create an analysis of virality based on copy structure, post formatting, idea and audience.

3. Design a template from each one so that I can recreate viral content.

What Actually Happened? 👇

🙌This week's podcast episodes...

😮 Introducing OpenAI o3 and o4-mini

OpenAI o3 & o4-mini: Smarter, Faster, More Capable o3 is OpenAI’s most powerful model yet.

o4-mini is smaller, but fast and cost-efficient—great for high-volume tasks.

Key Upgrades

• Trained to think longer and reason deeper.

• Can use tools like web search, Python, image analysis, and file reading—all on their own.

• Solve complex, multi-step problems quickly and in the right format.

Performance Boosts

• o3 sets new records on coding, math, science, and visual benchmarks.

• o4-mini beats earlier models at a fraction of the cost.

• Example: Both score over 98% on AIME 2025 with tools.

Multimodal Reasoning

• They don’t just see images—they reason with them.

• Great at interpreting charts, whiteboards, and visual math.

Built-In Safety

• Stronger protections against misuse (e.g., malware, jailbreaks, biorisk).

• Passed OpenAI’s toughest safety tests.

🛠️ Available Now o3 & o4-mini are live in ChatGPT Plus, Pro, and Team.

Developers can access via API.

Free users can try o4-mini by selecting “Think”.

🔹OpenAI is building a social network

GOpenAI is reportedly developing its own social network, reminiscent of X (formerly Twitter), according to insiders. Still in early stages, the project includes an internal prototype featuring a social feed integrated with ChatGPT’s image generation. OpenAI CEO Sam Altman is said to be privately seeking feedback on the concept.

It’s unclear whether the network will be a separate app or integrated into ChatGPT. The move could intensify Altman’s rivalry with Elon Musk and put OpenAI in direct competition with Meta, which is also building a social AI app.

The network would give OpenAI access to real-time user data—valuable for training AI models—similar to Musk’s Grok (via X) and Meta’s Llama. One feature may include AI-assisted content creation. —Read more here.

⚡Grok gains a canvas-like tool for creating docs and apps

Elon Musk’s AI chatbot Grok now includes Grok Studio, a canvas-like tool for creating and editing documents, code, reports, and browser games. Available to all users on Grok.com, it opens content in a separate window for real-time collaboration.

Key features:

• Live code execution (Python, C++, JavaScript)

• Google Drive integration for working with docs, spreadsheets, and slides

Grok Studio joins similar tools like ChatGPT’s Canvas and Claude’s Artifacts.— Read more.

💫Google Classroom gives teachers an
AI feature for quiz questions

As of April 14, 2025, educators using Google Classroom can now use Gemini to generate text-based questions or quizzes. Teachers can select a file from Google Drive or input text manually, choose target skills, and create grade-level appropriate comprehension and critical reasoning questions.

Key Features:

• Export questions to Google Forms or Docs

• Useful for quizzes, exit tickets, and comprehension checks

• Available with Gemini Education and Premium add-ons

Access:

• Admins can explore pricing via Google sales channels

• Educators with a license can find the tool under the “Gemini Education” tab in Google Classroom

The feature is live now for both Rapid and Scheduled Release domains. Know more here.

😮OpenAI’s new GPT-4.1 AI models focus on coding

OpenAI has launched GPT-4.1, along with smaller mini and nano versions, bringing major upgrades in coding, instruction following, and long-context understanding. All three models support up to 1 million tokens, enabling advanced reasoning across massive inputs.

GPT-4.1 outperforms GPT-4o and GPT-4.5, achieving 55% on SWE-bench for coding, a 10.5% boost on instruction benchmarks, and top scores in long-context and visual tasks. It’s available only via API, and will replace GPT-4.5 Preview by July 14, 2025.

The mini version matches GPT-4o in intelligence but is 83% cheaper and nearly twice as fast. The nano model is OpenAI’s fastest and most affordable yet, ideal for tasks like classification and code completion.

Top companies—including Thomson Reuters, Carlyle, and Hex—are already using GPT-4.1 in legal, financial, and software workflows, citing greater speed, accuracy, and reliability.

Pricing per 1M tokens starts at $2 input / $8 output for GPT-4.1, down to $0.10 input / $0.40 output for nano, with caching discounts up to 75%. - Read More

Your competitors are already using AI.
Don't get left behind.

The AI tools are getting better — but they still need smart operators. If you’re building with AI, what’s working for you right now?

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