Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:

🚨 AI Top Story: OpenAI is making it easier than ever to build AI agents that can search, interact with files, and take real-world actions.

📊 Top Free AI Resources: Watch a recap of OpenAI’s official live stream introducing it’s new tools for building AI agents. A walkthrough of how to navigate the tools and practical use cases.

🎯 AI Case Study Of The Week: How BBC is Using AI to Keep Up with Changing News Habits

🌟 Creator Spotlight: Data Science Dojo on everything you need to know about OpenAI’s new agent building tools in a digestible format

OpenAI Just Made Building AI agents Easier Than Ever

AI Agent Development Is Now Accessible For Everyone

OpenAI is making some serious moves in the AI space again, this time with a fresh set of tools designed to make building AI agents a whole lot easier. If you’ve been following the AI scene, you know that "agents" are the next big thing—AI models that don’t just answer questions but actually take action, whether that’s retrieving real-time data, interacting with files, or even handling tasks on a computer. OpenAI’s new tools give developers exactly what they need to make that happen faster and more efficiently.

At the core of this update is the new Responses API, which simplifies how AI agents interact with external tools. It builds on the old Chat Completions API but adds a whole new level of functionality, letting AI agents fetch information from the web, search through documents, and even perform actions on a user’s computer. It’s all about making these models not just smarter, but actually useful in real-world applications.

To go along with that, OpenAI has also introduced an Agents SDK—a developer toolkit designed to help businesses and engineers manage both single and multi-agent workflows. This is a big deal because one of the biggest challenges with AI agents right now isn’t just getting them to work—it’s coordinating them in a way that actually makes sense for real-world use cases. By handling some of the heavy lifting, the SDK makes it easier to deploy AI that can operate efficiently in complex environments.

If this all sounds familiar, it might be because OpenAI previously introduced the "operator" tool, which had a similar goal of helping developers build AI-powered automation. The key difference is that while Operator was focused more on structured, rule-based task execution (think Zapier, but powered by AI), these new tools are designed to give AI agents more flexibility and autonomy. Instead of just following predefined workflows, agents built with the Responses API and Agents SDK can make real-time decisions, search for new information, and adapt to different scenarios dynamically.

These updates are a clear signal that OpenAI is betting big on AI agents playing a major role in business and automation. Instead of just being chatbots, AI is quickly evolving into something more autonomous, capable of carrying out workflows and making decisions. With these new tools, it’s becoming a lot easier for developers to build AI that doesn’t just generate text—but actually gets things done.

📹 Influencers Monetise Unused Content for AI Training - Creators are cashing in on their unused videos by selling them to AI firms for training data—turning forgotten footage into a new revenue stream

🤖 Business Tech News: Meta And Salesforce Introduce AI Agents For Small Businesses - Meta and Salesforce are rolling out AI agents designed to automate customer service, marketing, and sales—giving small businesses a serious boost

🧠 I tested Manus, China's 'fully autonomous' AI agent. It's promising — but not ready to go solo yet. - China’s Manus AI promises full autonomy, but early tests show it still needs human backup before it can truly go solo

See What Brands Are Sending Without The Cluttered Inbox With Milled

Keeping up with email marketing trends, competitor campaigns, and industry newsletters can be overwhelming. Essentially, you need a burner email just to handle the flood of marketing emails without cluttering your main inbox.

That’s where Milled comes in. It’s an AI-driven search engine that organises and analyses marketing emails from thousands of brands, helping you spot trends, track competitor strategies, and refine your own email marketing efforts—all in one place.

Whether you’re searching for subject line inspiration, monitoring seasonal trends, or benchmarking against competitors, Milled turns a messy flood of emails into a goldmine of insights.

Key Features:

🔍 Advanced Search – Quickly find specific campaigns, keywords, or brands across thousands of marketing emails.

📊 Marketing Trend Discovery – Browse recent and past campaigns to see what strategies brands are using in real-time.

🛍️ Ecommerce & Retail Focus – Get insights into promotions, discounts, and product launches from major retailers and DTC brands.

📩 Competitor Monitoring – See what your competition is sending, how often, and how they position their offers.

📁 Extensive Email Archive – Access a massive library of past campaigns to analyse long-term trends and creative strategies.

Click Here To Take A Closer Look

DATA SCIENCE DOJO - A Breakdown of OpenAI’s New Toolkit For Building AI Agents

OpenAI’s Live Stream Introducing Their New Toolkit For AI Agents

240 Custom GPTs Are Powering Estée Lauder’s Marketing Strategy

The Overview

The beauty industry is no stranger to innovation, but Estée Lauder is taking it to a new level with AI. Partnering with OpenAI, the company has integrated over 240 custom GPTs across its brands, using generative AI to refine product development, analyze consumer insights, and accelerate decision-making. By embedding AI into research, marketing, and customer experience, Estée Lauder is setting the stage for the future of AI-driven beauty.

The Implementation

Estée Lauder’s collaboration with OpenAI has led to the development of specialised AI tools tailored to its business needs. These GPTs are actively transforming multiple areas:

Fragrance Insights GPT – Analyses consumer survey data to identify fragrance preferences, helping the company develop scents that align with evolving consumer tastes.

Clinical Trial Data GPT – Processes extensive clinical research reports, enabling faster insights into skincare product efficacy without manual data sifting.

ConsumerIQ AI Agent – Built using Microsoft’s Copilot Studio, this AI consolidates 80 years of consumer data, allowing employees to query insights with natural language prompts—unlocking real-time market trends and product preferences.

Marketing & Creative GPTs – AI-powered tools optimise campaign messaging, ensuring product launches are timely, targeted, and aligned with digital marketing trends.

The Impact

By embedding OpenAI’s technology into its ecosystem, Estée Lauder is bridging the gap between data and action. AI-driven insights are speeding up product innovation, improving personalisation, and enhancing marketing effectiveness across its portfolio of luxury beauty brands. This strategic move shows how AI isn’t just a tool for efficiency—it’s a competitive advantage in a rapidly evolving market.

Better to be 100% sure! 😂