Today, we’re bringing you the latest in AI-powered marketing and business strategies. Here’s what’s inside:
🚨 AI Top Story: Autonomy needs architecture. Here’s how the pros do it.
🌟 Creator Spotlight: Om Nalinde shares the AI agent starter guide you wish you had sooner.
🎯 One Quick AI Hack: Smart chat recaps, straight from WhatsApp.
✨ Killer Marketing Prompt: Messy campaign screenshots? Turn them into strategy.
🎥 AI YouTube Resource Of The Week: Exploring Perplexity’s new AI agents in action.
Behind Every Good Agent Is A Great Setup
Building AI Agents That Don’t Break
Everyone’s excited about AI agents right now. But when you look beyond the demos and prototypes, most deployments stall. Not because the tech isn’t capable, but because the systems around it aren’t built to support autonomy in real-world conditions.
Rocket Companies, the fintech group behind Rocket Mortgage, shows what it looks like when it works. They started with a simple agent to automate tax transfer forms. Within two days, it was live. Today, that same agent saves them over $1 million a year. What made it successful wasn’t just the agent. It was the structure they built around it.
They mapped out every failure point. Added fallback logic. Stress-tested the agent with synthetic data. Set up real-time monitoring. And made sure the agent could escalate, pause, or hand over tasks when needed.
This kind of setup is becoming essential. Businesses aren’t just experimenting with AI anymore; they’re starting to rely on it. Agents are being tasked with work that touches customers, revenue, and core operations. When things go wrong, the consequences aren’t hypothetical. They’re real, and they can be costly.
If you’re deploying agents, think beyond what the agent does. Design for what happens when it gets things wrong. Build the safety nets. Create the rules of engagement. And make sure someone, or something, is always keeping an eye on the outputs.
📊 CMOs double down on data and AI to drive marketing efficiency - Here are the marketing leaders that have turned to AI tools for faster decisions, more precise targeting, and clearer performance insights.
💸 Zuckerberg bets big on AI with $14B stake and talent hunt - Meta is pouring billions into AI infrastructure and hiring top researchers to build a superintelligence team inside the company.
🗣️ Marketing leader Jonathan Adashek shares how IBM is communicating its AI tools to both employees and clients - IBM’s marketing chief explains how clear, consistent messaging is key to building trust in AI—both inside the company and out.
💬 WhatsApp now uses AI to summarise your chats - WhatsApp now uses Meta AI to privately summarise your unread chats in bullets. Saving you time, but raising fresh privacy and accuracy questions.
OM NALINDE - Skip the scattered docs. This one guide pulls it all together for you.
Catch Up Smarter with WhatsApp AI Summaries
When chats pile up, this quick trick lets you breeze through unread messages.
Whether you're buried in work chats or group spam, this hack gives you control, clarity, and a smarter way to tackle unread messages.
Update WhatsApp to the latest version via the App Store or Play Store.
Open a chat with unread messages—you’ll see a “Summarize” banner above them if the feature is active.
Tap ‘Summarize’ to generate a short bullet-point summary.
Review & verify before replying. The AI picks up key points, but always double-check the details if it’s important.
Control access in Settings:
Go to Settings → Chats → Message Summaries to enable or disable the feature.
Summaries are generated securely using Meta’s Private Processing system. Messages stay private. WhatsApp can’t read them, and the summaries are visible only to you.
💡 Pro Tip:
Try it first on noisy group chats or active team threads. It’s especially helpful when you’ve been away and need to catch up fast.
Note: Available only in the U.S for now 🇺🇸 (others coming soon)
Turn Messy Campaign Notes Into a Clear Performance Report
Got screenshots of dashboards, raw ad data, or slide decks, but no time to piece them together into something useful?
This prompt helps you turn unstructured visual inputs into a structured internal report. Just drop your screenshots or image transcripts into the prompt and let the LLM handle the heavy lifting.
Ideal for summarising campaign performance across Meta, Google, & email without needing to copy-paste rows of data or write from scratch.
You are a marketing performance analyst at [Insert Business Name], helping the team make sense of campaign activity across [Insert Channels, e.g. Meta, Google, Email].
Below is a series of screenshots or image transcriptions from recent performance dashboards, team messages, or presentation slides:
[Paste or describe your screenshots here. You can also use OCR tools to extract text from screenshots if needed.]
Your job is to:
1. Extract key performance patterns or trends from the visuals
2. Identify 2–3 standout performers (channels, creatives, or strategies that worked well)
3. Flag 2 problem areas and suggest possible causes, based only on the available info
4. Recommend 3 clear next actions that the marketing team can test or implement
5. Highlight any missing or unclear data points that limit analysis
Use only the provided content—do not fabricate data or fill gaps with assumptions. If something’s missing, label that section "Needs input" and keep moving.
Keep the tone focused, practical, and team-ready. Format your response in clear markdown for easy sharing.Top tier use case tbf!
