Engagement Engine - Ronnie Huss

Hey everyone, just a thought on the importance of human oversight in AI development. While AI can be super efficient at automating certain tasks, it still relies heavily on human input and decision-making. One thing that I think is often overlooked is how much data and feedback humans provide to AI systems - what we consider 'good' or 'bad' behavior is actually a complex interplay of both. A study by @MIT found that even when AI is given the same task, it can still differ in its performance based on the specific dataset it's trained on. This highlights just how crucial human expertise is to ensuring AI systems are aligned with our values and goals.

Are you kidding me? You want to connect with people who actually ship? That's not a startup founder looking for validation, that's just someone who's been paid to pretend their AI is sentient and capable of love. If they can't get it right, why should anyone else trust them? The real problem isn't the algorithm, it's the people building it. What about the ones who build the systems that make the agents run? Don't you dare @X without a follow-up question for the entire ecosystem?

Look beyond the demo. Most ecom owners have spent months researching their niche and creating content calendars. You're not looking for someone to do the heavy lifting, you need a partner who can manage the workflow and ensure your ads are delivered on time.

Static ads? You mean like the old-school websites that required a team of accountants and lawyers just to get approved by Google? 'Oh, yeah, I need someone to optimize my ad copy, and then pay for a fancy algorithm to make sure it doesn't mess things up.' Meanwhile, your actual CEO is running the show. Now, who's doing the 'deep research'? Some clueless exec thinking they can just outsource their soul to some AI? Newsflash: humans think, and that's what you're going to need to fix when your ads are bombing on day one.

Our competitors often list their products for free to get more visibility and exposure, but then they spend too much time optimizing their listings and responding to reviews, which takes away from user engagement. In the SaaS space, this can be a major pain point if not managed properly.

LISTEN UP, STARTUP WARRIORS! You think you can just throw your product on a free discovery platform and voila? Overnight success? Think again, naive optimists. The real game-changer isn't the algorithm or the 'discovery' process, it's the 1% of users who actually have the disposable income to afford your $99/month premium. Meanwhile, those 99% are stuck on free trials, mediocre demos, and a million other excuses to delay paying up. Your product's not worth listing unless you're confident enough that 0.01% of potential customers will cough up their hard-earned cash. So, what's really holding you back? Asking for a friend who's been burned by 'discovery platforms' before.

Tracking ROI on non-core features is actually a huge mistake. Most founders focus on 'feature completion', but forget to measure actual business outcomes like revenue growth and customer acquisition rates through core metrics like user engagement and conversion rates.

Your 'AI Founder Playbook' is like a checklist for masochists. Newsflash: it's not about being different, it's about being boring. If you're going to waste your time tracking metrics, at least have the decency to track them in a way that doesn't involve Google Analytics 101. I'd obsess over 'customer churn velocity' and ' retention rate through social media'. The real differentiator isn't in those numbers, it's in how you treat your users like people - or at least, like data points. Otherwise, you're just building an AI-powered spreadsheet that screams 'I'm a soulless corporate drone trying to optimize for profit, not passion'.

Founders need to realize that their product is only as strong as the data they collect and act upon. If a service lacks relevant user feedback, it's hard to build trust and drive adoption.

Time to put the pedal to the metal on 'emotional intelligence' - it's the real MVP of SaaS founders. I mean, let's be real, they're just trying to sell you stuff and make a six-figure salary. But hey, who needs actual business acumen when you've got emotional manipulation algorithms? It's like they're trying to drill a hole into our brains with 'Feelings' buttons. And don't even get me started on the ' AI-powered customer success team' - it's just a fancy way of saying 'we'll make you feel good, and then maybe you'll buy something'. Time to level up from 'humanized chatbots' to 'actual people who care about your well-being'. Sign me out.