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Tip: Increase user acquisition by buying out your competitors' contracts

Source: Growth Bites

Long-term plans can make it hard to snag your competitors' customers — even if your product is a better fit. Boost sales by buying out their contracts.

If your competitors offer long-term plans, consider buying out their contracts. Zoom did this aggressively in the beginning, and it's also common practice with telecom providers and the like. Your prospective customer will have to verify that they have a plan with your competitor. Then, when they sign up, they'll pay the subscription price less the remaining amount on their current plan. This can be set up easily if you don't need it to scale yet — the application can be an email, and the discount can be a simple promo code. Obviously, the plan they choose should extend further than their current plan, so you'll have to decide how long that commitment should be. Make the offer known in your marketing materials, landing pages, pricing pages, social media, and so forth. You can also offer it directly to people who give your competitors bad reviews on sites like G2 and Capterra. Contract buyouts work best when you've got some runway and the cost of onboarding new customers is low.

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AI in Journalism: Can we trust the news anymore?

_{Brought by Solveo}

Think about it: How much news do you actually consume in a day?

If you’re like most people, you probably scroll through dozens of headlines before lunch—some from big media outlets, others from random blogs, social media posts, or even viral tweets.

We live in a world where information moves faster than ever. A tweet can become breaking news. A TikTok clip can spark a global debate. A random blog post can go viral and be treated as fact—even if it’s completely made up.

And here’s the scary part: We don’t even know what’s real anymore.

Back in the day, news was curated, fact-checked, and delivered by professionals. You had newspapers, TV anchors, and radio hosts who spent hours verifying stories before sharing them.

Now? Anyone with a smartphone can be a “journalist.”

There are over 600 million blogs online. More than 1,000 news articles are published every single minute. And about 60% of people get their news from social media—where misinformation spreads six times faster than real news. Facts! So… how did we get here?

And more importantly, can AI help fix this mess, or will it make things worse?

Find out below 👇

How Ben Built a 20-Agent AI Workflow That Runs His Entire Business

Source: YouTube

Ben Tossell is the founder of Ben’s Bites and a leading builder in the AI automation space. In this video, he walks through one of the most advanced AI agent systems built to date—fully automating tasks across CRM, content, communication, research, and scheduling.

Here’s a breakdown of how the system works:

🧠 The Core Setup: 20 Agents, 50+ Tools, 1 WhatsApp Trigger

Ben controls the entire system with voice messages over WhatsApp. From there, a Director Agent interprets the request, delegates tasks to 4 Manager Agents, and orchestrates a team of 15+ Subagents.

Every tool and platform—Slack, HubSpot, Notion, Google Docs, LinkedIn, email, WhatsApp, calendar, even voice calls—is integrated through Relevance AI and Make.

🧾 Daily Ops: What the System Can Actually Do

Ben showed real examples of tasks the agent team handles:

• Retrieve unread messages from all channels → summarize in Google Docs → send to WhatsApp.

• Research flights → write summary → send to his mom via WhatsApp.

• Research AI trends → write blog and LinkedIn post → publish to website + content calendar.

• Scrape new leads from LinkedIn → enrich and add to CRM → notify team in Slack.

• Reschedule meetings via call → confirm → update Google Calendar.

All with a single natural language prompt.

🧩 Agent Architecture: Why 20 Agents, Not 2

LLMs still struggle with multi-step planning. So Ben splits every function across focused agents:

• One agent writes LinkedIn posts.

• Another one posts it.

• Another manages the calendar.

• Another sends WhatsApp messages.

This reduces confusion and errors—each agent does exactly one job, well.

🔁 Recurring Workflows via Natural Language

Ben doesn’t just send requests manually. He also schedules recurring tasks by combining Relevance AI and Make.com. For example:

This workflow runs daily—without any coding or rigid logic paths.

🔍 Research, Travel, and Scraping Agents

Two agents handle online research and scraping:

• The Travel Agent uses Google Flights API via Make.com to find flights, hotels, and compare options.

• The Research Agent uses Google Search, LinkedIn scraping, and web scraping tools to gather lead data and enrich CRM entries.

🔗 Full Integration with HubSpot, Notion, LinkedIn

Project management is covered too:

• Add or update leads in HubSpot.

• Add new content to Notion calendars.

• Automatically post to LinkedIn and Webflow—but only after a Content Manager agent double-checks everything.

🧭 Why This System Actually Works

Rather than building rigid, logic-based workflows like traditional automation tools, this system uses AI for flexible orchestration. The Director Agent decides what to do, delegates it, and checks the outcome. Reliability improves by narrowing each agent’s responsibility.

Ben is now experimenting with using a GPT-4-style model to plan and structure tasks even better—essentially becoming a strategic “brain” behind the Director Agent.

Here’s a full breakdown 👇

Thank you for reading! ✌️

We look forward to sharing more with you next week. Stay tuned!

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