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​

Hey there. anyone ordered or thinking of ordering the Limitless pendant? any thoughts? Limitless

Currently in data collection phase of our project. Goal is to collect a huge amount of expert data, official curriculum data, assessment data, student work data (unidentifiable) and labelled grades. Preprocess the data and build a RAG system to use with the AI model of our choice. End goal is to have an agent that can respond to text, audio, image and video. After some testing, not a huge difference in the text and audio sections. GPT4 is still the king in interpreting image but Gemini 1.5 is great in video. Instead of hardcore coding. Is there any full-stack dev platform that can accelerate the development? I don't mind doing code just looking for a fast track even if it costs subscription or saas.

Does anyone know any other option than using Browserless? in the crewai examples i see they only show this as an option. thanks!

I'm new to this poetry stuff so just need a little clarification I amd carrying out the tasks correctly. I have setup Poetry on my local machine in a virtual env like it says in the Install docs. I have configured PyCharm to allow the selection of Poetry as a packaging manager. I have copies in a new pyproject.toml file, I thgink all i have to do is run 'poetry update' for it to update all the dependancies and install any packages that may be required. Is this correct?