Have You Picked the Wrong AI Agent Framework?

Are you diving into the world of agent-based AI workflows and finding it more complicated than it needs to be? You’ve probably chosen the wrong approach, burdened with verbose, time-consuming frameworks. In this video, I’ll show you a far easier method to build your AI workflow, cutting through the unnecessary boilerplate and complexity.

Using CrewAI as an example, inspired by Code with Brandon’s excellent tutorials, we’ll explore how to streamline your processes. Watch as I automate a YouTube strategy in just seconds, a task that would typically take hours. Whether you’re a YouTuber or have daily repetitive tasks, this video will show you how to simplify and enhance your workflow with ease.

Join me as we debunk the myth that AI workflows are inherently complex. We’ll contrast CrewAI’s traditional method with a more efficient solution using Typescript and BunJS, reducing hundreds of lines of code to just a few dozen. Discover how you can achieve the same results with less effort and fewer headaches.

In this video I mention:

(they have a pretty url because they are paying at least $100 per month for Discord. You help get more viewers to this channel and I can afford that too.)

[inteligenciamilgrau]

I used CrewAI one or two times. It's simple but takes a lot of time, a lot of issues, a lot of tokens, and came to the same conclusion as yours! By the way, actually, after a lot of "improvements", it becames confusion instead of the simplicity of the beginning. Today I use light weight and straight forward automations!

[jamesmcintyre]

Awesome video! By the way, in general your format, pacing, conciseness and the cool but also utilitarian "code floating above your speaking" is a nice touch! I know making these videos takes a lot so just want to give kudos where it's clearly deserved! There's so many "faceless", auto-gen'd content or just click-baity low-content videos so this was a welcomed break from that!

[AI-Wire]

You are spot on, Matt. CrewAI reflects all the new tools in the AI space in general: too much hype, not enough utility... yet.

[jahbini]

Simplicity is the product of wisdom, and that comes from effective experience. Most excellent video.

[nexuslux]

This is what we need. Crewai... too much hype and not enough utility. Thanks for sharing.

[mercadolibreventas]

You're the best man! No one does anything as exciting as you do, with simplicity and exact methodology!

[synaesmedia]

I have to admit that I've had more success just using the OpenAI API than from my experiments with CrewAI, or AutoGen, where I often feel like I'm fighting the framework.

Good video

[SimonMariusGalyan]

I am using LangGraph which is also very deterministic. It uses a state and you can define functions as nodes (agents) thus for some tasks I avoid LLM which speeds up the process… The downside is of course that it takes some time to learn it. But if you do write a couple of them you can use them as templates for new projects. CrewAI is inconsistent and not useful for production at least in my case…

[albakriomar]

loved seeing this Matt. I have spent far too much time trying to write code that fits into one agentic framework or another, whilst always feeling it should be the other way around. This is a real gem of a video and anyone that says you're an idiot, just hasn't used any of the available agent frameworks. The community was crying out for this video! Bravo sir.

[vitalis]

It makes a lot of sense actually. If anyone is a programmer I’m sure one can use the logic and write functions to automate it. For normal humans, we can only try to come up and refine the prompt to do a task, then take that output and feed it to another agent and so on.

[petemoss]

all frameworks are hype. the time it takes to learn their documentation/APIs is better spent implementing the custom solutions your project needs, and you won't be held back.

[PaulFidika]

I’m marking any emails I get with the word “delve” in them as spam 😂

[alexandermaas]

Great video Matt! I fully agree with what you say. I've been on this track for a long time and have built a TS framework for it. I could not understand why all these agentic tools were so complex (and required agents to make obvious decisions which they sometimes failed at) and why everyone was hyping them so much (especially since you can make much more reliable tools in a simpler way). At the same time, I was unable to give words to why I felt this way. Your video helped me give words to why I felt this way! Thanks!

[danielschoenbohm]

Very interesting. You brought up a really good point. I was actually wondering why I never really got into CrewAi, and the simple answer is that it was never really useful. Reliability and using as few tokens as possible are important. Actually you want to use LLMs as little as possible

[FrederickROS]

Great one, and fully aligned with you. People are always focusing on the tool instead of focusing on the need. Most of the agentic framework I’ve seen so far were falling apart as soon as you’re trying to implement something a little bit complex … and rely and local models. And the one big problem they all have (but somehow your code as well) is that they are as good as your prompting skills are … which on top will vary depending on the model you use …

[ThoughtFission]

Wish there was a channel like this for those of us who don't code but want to get the same things out of AI, which. is really where AI should be going. We shouldn't care of it's Python, Go, Rust etc. We should just describe what we want and the finished product, with some iterations, should pop out the other end.

[JeromeBoivin-txfm]

So true Matt. I’ve been trying to achieve code research tasks using a RAG and Ollama with local models and CrewAI framework for about two months, with no good results so far. Where a simple chat with Ollama and feeding the chat with results from the same RAG gives way better results and consistency. I’m keeping the CrewAI program just for evaluating new updates and see if it’s improving over the time with same agents and prompts…

[RamiAwar]

I love this. Exactly. Spot on. This is why I'm building my new project from scratch.

[mariobaldi]

If i can suggest something for the ranking formula, use coefficients from geometric series. 1/2^n where n is the position of the term, this will create no overlaps between ranked videos in the ranking space.

P.s. thank your for this video.

[quvuwpk]

Thank you, Matt. You're right. If the process is simple and known, no agent is needed. Agents are meant for harder problems, e.g. independently figuring out the process to achieve a goal.