The best marketing ideas come from marketers who live it.
That’s what this newsletter delivers.
The Marketing Millennials is a look inside what’s working right now for other marketers. No theory. No fluff. Just real insights and ideas you can actually use—from marketers who’ve been there, done that, and are sharing the playbook.
Every newsletter is written by Daniel Murray, a marketer obsessed with what goes into great marketing. Expect fresh takes, hot topics, and the kind of stuff you’ll want to steal for your next campaign.
Because marketing shouldn’t feel like guesswork. And you shouldn’t have to dig for the good stuff.
Good morning ☀️, leader of the next generation.
We will talk about agents. AI agents.
They will change the way how we do business, how we interract and even how we do our everyday lives.
Agents will build business.
Agents will organize your day.
Agents will fill up your fridge.
I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...
⚡ WHAT'S AT STAKE TODAY ⚡
- 🤖📱 Poke makes using AI agents as easy as sending a text
- 💰🤝 AWS boss explains why investing billions in both Anthropic and OpenAI is an OK conflict
- 🏠💚 I can't help rooting for tiny open source AI model maker Arcee
- 🏆🧠 Databricks co-founder wins prestigious ACM award, says 'AGI is here already'
- 🛡️👶 OpenAI releases a new safety blueprint to address the rise in child sexual exploitation
- 🖥️🤖 Astropad's Workbench reimagines remote desktop for AI agents, not IT support
- 📺🔥 Tubi is the first streamer to launch a native app within ChatGPT
- 🚀💸 Meta debuts new AI model, attempting to catch Google, OpenAI after spending billions
- 📊🔧 Atlassian launches visual AI tools and third-party agents in Confluence
Startup Offers AI Agent Through Text Messages
Poke makes using AI agents as easy as sending a text
A new startup is making AI agents accessible to everyone by delivering them through familiar messaging platforms like iMessage, SMS, and Telegram. Poke, which launched publicly in March, offers a personal assistant that can take action on users' behalf without requiring any app installation or technical expertise.
Unlike general-purpose AI chatbots such as ChatGPT or Claude that are designed for research and questions, Poke focuses on getting things done quickly and automating everyday tasks. Users can ask Poke to manage calendars, track health and fitness goals, control smart homes, edit photos, send medication reminders, provide weather alerts, or catch up on news and sports scores.
The 10-person startup has raised significant funding, adding $10 million on top of last year's $15 million seed round, backed by Spark Capital and General Catalyst. The company is now valued at $300 million post-money, reflecting growing demand for accessible AI agent solutions.
Co-founder Marvin von Hagen explains that Poke emerged from observing beta testers of their earlier email-focused AI assistant. "People wanted to use Poke for everything," he says. "Even though it was only meant for email, people started asking Poke to remind them to take their medication, about sports results, and whether they needed a jacket each morning."
Getting started with Poke is remarkably simple compared to technical alternatives like OpenClaw. Users visit Poke.com, click "Get Started," and enter their phone number—no terminal commands, dependency management, or troubleshooting required. The AI operates entirely through text messaging.
Behind the scenes, Poke strategically selects the best AI model for each task, whether from major providers or open-source options. This flexibility gives the company an advantage over competitors tied to single providers, such as Meta AI using only Meta models or ChatGPT relying exclusively on OpenAI.
The platform offers pre-made "recipes"—automated tools spanning health and wellness, productivity, finance, scheduling, travel, and developer tools. These recipes integrate with popular services like Gmail, Google Calendar, Notion, Strava, Fitbit, Philips Hue, and Sonos. Installation requires just a button click and standard authorization.
Users have created thousands of additional recipes and automations, which Poke plans to add to its discovery directory. The company incentivizes recipe creation by paying creators 10 cents to a dollar for each new user signup generated through their shared recipes.
Poke's pricing model is surprisingly flexible and affordable. The service is free to start, with costs based on usage patterns. Basic requests without real-time data remain free, while resource-intensive automations like email monitoring or flight check-ins incur charges. During beta testing, users actually negotiated prices with the AI agent, typically ranging from $10-30 monthly.
Security remains a priority with multi-layered protection including regular penetration testing and limited permissions for both agents and employees. By default, staff cannot access user tokens unless users manually opt-in to share log files or analytics.
WhatsApp support faces limitations after Meta restricted general-purpose chatbots last fall, though regulatory pressure from EU, Italy, and Brazil may change this. The company has already returned to Brazil following antitrust probes.
Von Hagen emphasizes growth over immediate profitability: "We really don't want to make money, but we really want to grow. We want to build a product for a billion people." The company plans to leverage creators and influencers to demonstrate Poke's everyday applications.
The startup has attracted notable angel investors including Stripe founders John and Patrick Collison, Jake and Logan Paul, OpenAI's Joanne Jang, and Cognition founders Scott Wu and Walden Yan, among others.
While user numbers aren't disclosed, the company reports 10x growth over recent months. As AI agents become mainstream, Poke positions itself as the accessible alternative for consumers wanting automation without technical complexity.
How Intrepid hit record profits without dropping its principles
29% revenue growth. Record profits. And a company willing to say what didn't go to plan. Intrepid's 2025 Integrated Annual Report shows how purpose and profitability scaled together, and what it's targeting next on the path to $1bn.
AWS defends dual investments in competing AI companies
AWS boss explains why investing billions in both Anthropic and OpenAI is an OK conflict
AWS CEO Matt Garman defended Amazon's $50 billion investment in OpenAI alongside its $8 billion partnership with Anthropic, saying the cloud giant is accustomed to handling such conflicts. Speaking at San Francisco's HumanX conference, Garman explained that AWS has long competed with its partners while promising not to provide unfair competitive advantages.
Amazon's dual investment strategy mirrors industry trends, as multiple investors back both AI companies. The move was crucial for AWS to remain competitive against Microsoft's cloud services, which already hosted both AI models.
🎙️ The Supercharged Podcast Is Growing
Real Conversations with the People Building the AI Future
The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.
Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it’s truly changing the way work gets done.
From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.
⚡ Trends for the Future
Atlassian launches visual AI tools and third-party agents in Confluence
Atlassian introduces Remix and AI agents to transform data into visual assets.
Atlassian has unveiled new AI-powered features for Confluence, focusing on transforming stored data into visual assets and streamlining workflows through intelligent automation. The software giant's latest announcement centers around two major innovations: the Remix visual tool and three new third-party AI agents.
Now in open beta, Remix enables enterprises to convert data and information stored in Confluence into visual assets like charts and graphics. The tool intelligently recommends the most appropriate visual format for specific data sets and creates these assets without requiring users to switch between applications, maintaining a seamless workflow experience.
Complementing Remix, Atlassian introduced three specialized third-party agents that operate within Confluence using model context protocols. The first agent integrates with Lovable, allowing users to transform product ideas and data into functional prototypes. The second connects to Replit, enabling the conversion of technical documents into starter applications. The third agent partners with Gamma to automatically generate slides and presentation materials.
"With Remix and agents in Confluence, a single page becomes the starting point for whatever comes next: a clear story for leaders, a prototype for builders, or a walkthrough for customers, all from the same source of truth," explained Sanchan Saxena, senior vice president of teamwork collaboration at Atlassian.
This development represents Atlassian's broader strategy of embedding AI capabilities directly into existing workplace tools rather than creating separate platforms. The approach follows an industry-wide trend where companies like Salesforce and OpenAI are integrating AI functionality into established workflows instead of launching standalone AI software.
The new features build on Atlassian's previous AI initiatives, including the integration of AI agents into Jira in February. By removing friction between different tools and processes, the company aims to help teams move beyond document management toward creating innovative products and experiences.
⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?
AI has potential — but generic advice rarely helps.
What would be genuinely valuable for AI to do in your industry right now?
• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?
Tell us what you’d want AI to handle — or where you feel stuck.
We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.
🌡️ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)

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