Mike Anderson | 🤖 AI Automation

For marketers, "plug-and-play AI" is a myth if you care about brand trust. Real AI implementation takes: → Workflow redesign → Quality frameworks → Team alignment The startups that solve this complexity will win enterprise deals. The ones that don't? They'll churn SMBs.

3 reasons AI startups fail to land enterprise clients: - They demo features, not operational integration - They promise speed without addressing compliance - They underestimate change management complexity Enterprise buyers don't want tools. They want systems that scale.

Most teams exploring AI start with: "What tools should we use?" But the real unlock comes from a better question: "Where is our workflow breaking down—and how could AI help fix it?" A few hard-won lessons from a year deep in the trenches: 1/ Tool maturity varies. Early-stage platforms often look slick but fall short on compliance, UX, or customization. Especially in regulated industries. 2/ AI ≠ plug-and-play. High-impact adoption requires redesigning how work gets done—not just layering AI on top. 3/ The biggest risks aren't technical. They're operational: misalignment, vague ownership, poor review cycles, and legal exposure. 4/ The opportunity is real—but only if teams reframe how they evaluate AI. Don't start with features. Start with friction. Map the workflow. Find the bottlenecks. Then—choose the tech.

Lovable is a great tool for non-tech builders, but there's a learning curve. Launching on a custom domain & connecting to GitHub are key steps. Here's how to navigate them with ease: First, launching on a custom domain: - Purchase your domain from a registrar (IE: Namecheap). - Update DNS settings to point to your Lovable site. - Verify & publish. This setup enhances your brand's credibility and visibility. Next, connecting to GitHub: - Create a GitHub account if you don't have one. - Generate a personal access token. - Use Lovable's integration wizard to link your repository. GitHub integration ensures seamless version control and collaboration. The friction to build is less than ever, but the initial setup can be daunting. Once you master the basics, the potential is unlimited. The divide isn't tech vs. non-tech. It's builders vs. spectators. Start building.

The businesses thriving in 2025 aren't the ones with the biggest teams—they're the ones maximizing output with strategic AI automation. One person with the right AI stack can outperform five people using outdated methods. This is the new competitive edge.

5/ The businesses that will dominate in the next 5 years aren't just adopting these tools—they're building proprietary systems around them. Start by implementing one AI-powered touchpoint in your outreach sequence this week. Measure results. Then expand methodically.

4/ The integration of these systems is where most businesses fail. You need a clear framework for how data flows between tools. Consider a "Cascade Method" that ensures each tool enhances the next in your sequence, creating compound results rather than siloed efforts.

The next 18 months will completely transform lead generation for service businesses. Here's what's coming and how to position yourself ahead of the curve: 🧵

@thejustinwelsh I’m convinced we’re at the bleeding edge of an ‘artisan rebirth.’ It’s inspiring to see so many taking advantage of the tools to automate and grow new ventures.

We're in the age of solopreneurship. Easy access to knowledge, low barrier to entry, and AI-driven automation free up time and energy to focus on the specific craft you love. Those who succeed won't wait for permission to get started.

@gregisenberg I just came across this concept via @ninjachatai's AI Playground feature. Tons of potential here. Personally, I'm constantly switching between platforms. Having a 360 interface is a game-changer. Especially, as model capabilities and use cases evolve.

Is the new way to use AI using multiple apps at the same time? (grok3, perplexity, chatgpt, gemini etc) i was sitting in my office last week, staring at a blank screen, trying to figure out how to get our latest saas startup idea off the ground. we had a half-baked concept, some subscription thing for founders but no clue how to make it stick. i was out out of ideas and my team was too busy to jam with me. normally, i'd just hammer chatgpt until it gave me something decent. that gets my creative juices flowing. but i'd been down that road before. you know the drill: you ask, it spits out a polished-but-boring answer, and three hours later you're still tweaking prompts like a sucker. this time, i tried something dumb. i opened four tabs—grok 3 "think", chatgpt deep research, perplexity deep research, claude 3.7 and just started throwing the same question at all of them: "how do we make a saas for founders that doesn't suck?" each AI gave me something completely different. 1/grok3 proposed a wild pay-what-you-want pricing model. 2/chatgpt outlined solid but safe features. 3/perplexity found real competitor data and user complaints. 4/claude warned about trust issues freelancers have with saas tools. using all four together gave me a 360° view i'd never get from one AI alone. Pick your avengers, make your cocktail for the tasks you use the most (AI research, AI product designer, AI engineering etc). each with their pros and cons. that was kinda my key insight that i thought i'd share (will tweet more about this if people are into this) this approach totally helped me think through the problem. it dramatically increased our odds of success by surfacing insights and angles i'd never have considered with just one ai. and it just really opened up "my creativity faucet". all of sudden i felt more creative and my clarity of what i wanted out of the product came to me. yes, there are downsides. it takes more time, more prompting, and definitely costs more. but acknowledging that each llm has its strengths and weaknesses and using those to your advantage is a game-changer. are you using multiple AI products for the same tasks? i'm curious if others are finding similar benefits from this "ai cocktail" approach or am i just crazy

7/ TL;DR: Sales automation isn't about doing the same things faster. It's about eliminating entire categories of work from your team's plate. The businesses that win will be those that automate everything except human connection.

6/ The ROI formula for sales automation: (Hours saved × Hourly revenue value) - Implementation cost = Net value For a team of 5 reps saving 20 hours each month with an implementation cost of $15,000, the first-year ROI typically exceeds 400%.

The future of sales isn't more CRM features or another sales methodology. It's the replacement of low-value tasks with AI automation. Here's what true sales automation looks like in 2025: 🧵