I’m just starting out as an AI consultant and want to build a clear path from the very beginning. Instead of trying to figure it all out alone, I’d love to learn from those who have already been in the field. Here are some of the areas where I’d really appreciate your insights: 🔹Niche/Industry – If you were starting today, which industries or niches would you focus on first, and why? 🔹 Working with Clients – How do you structure the process (from discovery to delivery)? How do you usually handle contracts and pricing in a way that works for both sides? 🔹 Delivering Results – What do you do to make sure the client not only gets a solution but actually uses it and sees real impact? 🔹 Other Lessons – Are there specific tools, positioning strategies, or common mistakes you’d recommend I pay attention to early on? I know many of you have built incredible careers in this space, and I’d love to learn from your experience.

As there any way to get free API Key of any chat model like chatgpt, gemini, cluad etc..

Stop playing against AI.Start making it your teammate. Too many people see AI as a competitor.Truth is—it’s here to kill the boring stuff:emails, reports, formatting, repetitive busywork. That’s not the work that makes you valuable anyway. The real winners? They’re using AI to free up time for strategy, creativity, and decisions that actually move the needle. AI won’t replace you.But the person who learns how to work with it just might. 👉 Collaborate with AI. Don’t compete with it.

Someone posted that AI empowers individuals but companies struggle with AI fusion because they're sold on systems rather than enhancing people. This sparked something important. Here's my take: I heavily agree with this and always preach about it. Skill gaps and delays need to be solved on the foundation level, before AI is introduced. The reality is, AI systems create complete efficiency and resilience in an operation - but only after frameworks are discovered and validated first. Without solving for the base, everything breaks apart - where AI won't be able to produce high-quality outputs. Relying on data mining is a cause for failure. Let me be honest: Study the billionaires who were using AI before it was introduced to the public - AI wasn't anticipated to be released until Sam Altman came around. The billionaires never relied on data mining - they imported their principles instead to streamline their decision making processes, not eliminate it. Here's where most people mess up: Now with data mining, the public is getting used to eliminating critical thinking, outsourcing it to AI - which is a huge lever for evil technicians. Mental engineering is a hidden attack. The publisher agreed: "AI-enhanced broken processes are still broken, just more expensive." The strategic framework: The further they go down that line, the more the sunk cost fallacy mind trap will keep them doubling down. This is why you solve human processes first, validate what works, then systematically enhance with AI. Don't let AI think for you - let it accelerate your validated thinking. Bottom line: Enhance individuals, don't replace systems. Import your principles into AI, don't rely on its data mining. The goal is to amplify human intelligence, not eliminate it. Hope you found this valuable! :)

I’m Mike, and I’m thrilled to be part of this community of forward-thinking entrepreneurs who believe in working smarter, not harder using AI automations. Over the past few years, I’ve been helping businesses save hours of time and thousands of dollars by building AI-driven automations using tools like Make.com, N8N, and Zapier. Whether it’s streamlining client onboarding, automating content workflows, or connecting dozens of apps without a single line of code – I love turning "manual headaches" into smooth, automated systems. Excited to connect, share, and learn from all of you! Any specific automations you'd like to implement into your business? 👇