Everyone wants an easy life. Then they decide to become a software engineer. Then AI shows up. Now you're learning: - Programming - AI - Agents - APIs - Cloud - Databases - Security - Business - Communication And somehow... you still enjoy it. The good news? The hard path usually has the fewest competitors. Question: What's been the hardest thing for you to learn as a software or AI engineer? 👇

Last night, I had a conversation with a UK lawyer who wanted to build an AI SaaS for the legal industry. Instead of jumping into development, we did something different. We started by understanding the workflow. After researching the industry and validating ideas, we identified 8 major pain points that lawyers face every day. That changed our entire approach. Instead of asking: "Which AI model should we use?" We started asking: "Which problem is painful enough that people would happily pay to solve?" That's the product discovery process we're following at Greatodeal. I'd love feedback from people building AI products. How do you validate pain points before building an AI SaaS?

Yesterday, I shared the 8 workflow problems we found after studying how lawyers work. Today, here's the biggest lesson. Most people start with the AI model. We start with the workflow. If the workflow is broken, AI only makes the broken process faster. That's why we spend more time understanding how people work than choosing which AI model to use. Question for the community: What's the most repetitive task in your business that you'd automate first and why? 👇 I'd love to hear your answers. They often lead to the best product ideas.

Yesterday, I shared the story of a UK lawyer who contacted us to build an AI platform for lawyers. Most people would start by choosing an AI model. We didn't. We started by asking one simple question: What is wasting a lawyer's time every single day? After studying the legal workflow, we identified 8 real operational problems: - Reading huge case files before hearings. - Connecting emails, evidence, notes, and documents. - Searching hundreds of pages for one key detail. - Finding contradictions across legal documents. - Rewriting the same documents repeatedly. - Dealing with AI tools that can't always be trusted. - Managing files spread across different systems. - Spending too much time on repetitive work instead of strategy and clients. This reminded us of something important. Great AI products don't begin with AI. They begin with understanding how people work. First, understand the workflow. Then remove the friction. Only then should AI become part of the solution. That's how we build products at Greatodeal. Now I'm curious... If you run a business, what's the one repetitive task your team does every week that you wish AI could take over? Share it in the comments. You never know it might become the next product we build together.

They fail because the process is broken. Here's the simple framework we follow to turn business challenges into measurable growth: 🔹 1. Understand Identify the real problem—not just the symptoms. 🔹 2. Collaborate Align stakeholders, goals, and expectations from day one. 🔹 3. Solve Build smart, scalable solutions that eliminate bottlenecks. 🔹 4. Deliver Focus on outcomes that improve efficiency, growth, and ROI. Technology is just a tool. The real competitive advantage is solving the right problem first. 💬 Founders & CEOs: What's the biggest challenge you've faced when implementing technology or AI in your business?