🎯 Stop Prompting. Start Delegating to AI

Real Work, Real AI Agents

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

🚨 AI Top Story: Copilot isn’t just AI inside tools — it’s AI across them.

📊 One Quick AI Hack: Access your entire library of AI-generated images on ChatGPT

🎯 AI Tool Of The Week: Get smarter data capture from the messiest docs with Landing.AI’s Agentic Document Extraction

🌟 Creator Spotlight: Analytics Vidhya on discovering how researchers are building large vision-language models (LVLMs)

AI TOP STORY

Stop Prompting. Start Delegating to AI

Real Work, Real AI Agents

Most of us don’t work in neat, single-source systems. Our day-to-day is spread across meetings, inboxes, campaign reports, Slack threads, CRM notes, and scattered files. It’s messy, and until now, AI hasn’t really helped with that.

This new wave of AI agents is changing that. They’re built to gather context from across your workflow and do something useful with it.

Say you're planning a new product launch. Instead of hunting through old campaign docs, sales feedback, and your team’s notes, you can hand that off. AI agents can pull insights from across your channels — Ad performance, customer behaviour, win/loss notes — and build a draft plan that actually reflects what’s worked and what hasn’t.

Maybe you’re prepping for your monthly performance review. Instead of juggling reports from your ad platforms, CRM, and analytics tools, an AI agent can pull the numbers, spot patterns, and show you what caused that Q2 dip, without you having to dig for it.

Then there’s the agents that quietly keep everything moving in the background — tracking project updates, following up on to-dos, surfacing blockers before they become problems. They’re subtle, but they save hours of mental load.
If you caught our last issue, these are what we called orchestrator agents — the ones acting more like project managers than task-runners, keeping the whole system running smoothly.

These agents are starting to think across tools, not just inside them. And when they can handle the prep, the analysis, and the follow-through? That’s when you get time back to lead, think, and actually move the work forward.

Microsoft’s latest Copilot rollout is a clear sign this shift is already happening. With agents built for Sales, Service, and Finance that map directly to the utility, super, and orchestrator roles we’ve been talking about.

Copilot for Sales, Copilot for Service, and Copilot for Finance — we’re seeing real use cases roll out across pipeline management, customer service ops, and financial planning.

Start small. Let one prep your next report. Have it build a campaign brief from recent sales calls. Ask why MQLs are dipping.

The more real-world context you feed it, the more valuable it becomes.

FREE PROMPT ENGINEERING WORKSHOP

Create Better ChatGPT Prompts

Join Mark Hinkle for a live, hands-on session tailored for business professionals aiming to enhance their AI interactions. Discover how to craft effective prompts that yield tangible business results, from generating marketing copy to using AI to generate prompts that get results.

What You’ll Learn

  • Effective prompt structures for diverse business applications

  • Live demonstrations of prompt optimisation

  • Techniques to develop scalable and repeatable prompts

Date: Wednesday, April 17, 2025
Time: 4:00 PM ET / 1:00 PM PT

Click Here To Register Now

AI NEWS FOR MARKETERS

📢 LinkedIn Adds AI Tools to Ad Campaigns: What It Means for B2B Marketers and Affiliates - LinkedIn is rolling out new AI ad tools aimed at streamlining campaign setup and improving targeting — especially useful for B2B and affiliate marketers

🧠 OpenAI Developing X-like Social Media Network, Verge Reports - OpenAI might be building its own social platform — think ChatGPT meets Twitter, with AI powering the timeline

🧩 Why Agentic AI Systems will Supersede Traditional AI, Learning Systems - Agentic AI systems are smarter, more autonomous, and better at solving complex tasks than the rule-following models most teams still rely on.

📈 Content Marketing Trends To Watch In 2025 - From AI-driven personalisation to creator-led brand building — here’s what’s shaping the next wave of content strategy.

🥊 Meta Llama 4 vs ChatGPT: Is there a winner? - A side-by-side breakdown of Meta’s latest model and ChatGPT, comparing their strengths & weaknesses

THE LATEST FROM THE AIE NETWORK

🎯 The Artificially Intelligent Enterprise - Write Better Prompts With ChatGPT

ONE QUICK AI HACK

Access Your Library Of AI-Generated Images in ChatGPT

ChatGPT now features an Image Library that automatically saves all your AI-generated images. Accessible via the new Library tab in the sidebar on both web and mobile platforms, this feature allows you to:​

  • View a grid of your previously created images.

  • Edit images by selecting specific areas and providing new prompts.

  • Save images directly to your device.

  • Share your creations seamlessly with others.​

This update is rolling out to all Free, Plus, and Pro users. If you don't see it yet, it should appear soon.

AI TOOL OF THE WEEK

Smarter data capture from the messiest docs with Agentic Document Extraction

LandingAI’s Agentic Document Extraction moves beyond basic OCR by using computer vision, layout understanding, and visual grounding to intelligently pull structured data from even the most chaotic reports, forms, and visual-heavy documents.

Why It’s Useful

Most document extraction tools give you raw text. This gives you answers. It knows where data came from, what it connects to, and how to structure it so you can act on it — without spending hours cleaning up messy outputs. Ideal for operations, legal, finance, and any marketing team drowning in docs.

Key Features:

Visual Grounding – The agent understands not just what the text says, but where it sits in a layout — critical for parsing tables, charts, or forms.

Agentic Behaviour – This isn’t a static model. It reads with purpose, extracts contextually relevant data, and can route results into different workflows.

Works with Complex Layouts – Think invoices, contracts, claim forms, financial statements — the stuff traditional OCR tools usually break on.

Source Traceability – Every output stays tied to its visual origin in the document, so you can verify it with confidence.

Built for Automation – Can be deployed as part of broader document workflows or integrated with downstream systems.

CREATOR SPOTLIGHT

ANALYTICS VIDHYA - Discover how researchers are building large vision-language models (LVLMs)

AI YOUTUBE RESOURCE OF THE WEEK

LandingAI on how Agentic Document Extraction works & how it can be used

AI MEME OF THE DAY

Three Tabs, Infinite Confidence 💪

How did we do?

How did we do with this issue of the AI Marketing Advantage.

Login or Subscribe to participate in polls.

Your AI Sherpa, 

Mark R. Hinkle
Editor-in-Chief
Connect with me on LinkedIn
Follow Me on Twitter

Reply

or to participate.