Hey! Last week I shared the announcement for ShipKit.ai, the first AI course that actually does the development work for you. Today, I want to show you exactly what that looks like. Here is a new video where I walk through 5 real-world examples of how ShipKit.ai makes building and deploying AI applications insanely easy for you. ​ 1. Setup scripts Instead of wrestling with endless config and boilerplate, ShipKit.ai gives you setup scripts that handle everything for you. You can spin up a working project in minutes, freeing you to focus on building your app instead of troubleshooting. 2. App naming prompts Coming up with names can be a time sink. With ShipKit.ai, AI helps generate project names instantly, so you can stop getting stuck in the brainstorming phase and move straight into development. 3. Landing page generation Every real-world application needs a place to live. ShipKit.ai automatically creates a polished landing page for your app, giving you something professional to share with users and stakeholders on day one. 4. Roadmap creation ShipKit.ai does not just give you code, it gives you clarity. With built-in roadmaps, you will always know the next step to take, keeping you out of decision fatigue and focused on shipping. 5. One-click deploys Once your app is ready, deployment is as simple as pressing a button. ShipKit.ai takes care of the heavy lifting so you can launch to production without weeks of setup or glue code. ShipKit.ai is designed to handle the hard parts so you can focus on shipping real-world applications with confidence. And here is the best part: if you pre-order before launch on September 27, you will lock in $100 off. 👉 Pre-order shipkit.ai today and save $100​

Hello folks, The other day i was thinking about AI app use cases for majority of businesses that we study here and how to use the course to build an app. So what i could see is that majority of the use cases fall into 3 categories Chat / Chat+RAG and AI Agents for x and y. Correct me if i am wrong there may be edge cases ( mine is i think) . I would like to know your opinions and if this bucket logic works or not. Also since I think 🤔 my use case is an edge case i cannot wrap my head around the vision problem. The thought comes from developing a solution for my own domain of construction as we need to do read pdf drawings which are plotted from cad applications. Also the data is available in excel sheets. The thing is i am not sure about the selection of ai model selection for vision purpose since i tested this with gemini chatgpt or claude and all of it majorly failed to extract the data against my instruction prompt so the whole logic of app fails. In such cases how can i approach this problem? Any thoughts ideas? Fine tuning etc? Also system architecture?

Hey everyone! Welcome to the official support thread for all your questions related to the AI Marketing Platform course! If something isn’t clear or you’re stuck on a particular topic, feel free to ask away! Chances are, if you’ve got a question, someone else is wondering the same thing. I’ll be doing my best to respond as quickly as possible. This is also a fantastic space for you to connect with fellow course members—so if you know the answer to someone’s question, don’t hesitate to jump in and help out! We’re building a community where everyone can learn from each other, so let’s make the most of it! Looking forward to your questions and the discussions ahead!