How I Made AI Assistants Do My Work For Me: CrewAI 

*UPDATE:* Thanks to the viewer @tryingET great suggestion, I managed to improve the prompts and make the output consistent. You can check out the improved version on my github. Thanks for watching and I'm curious, what were your experiences with crewAI like?

crewAI creator here, so cool to see videos like this! I also automated parts of my work with crewAI as well and it's a "a-ha" moment for sure! Great content! keep it up 💪

This is by far the most clear explanation I've found on agents, how to use them and how to run them locally. Congrats!

I hardly comment on RU-vid channels. But this is another level. The way you explain things, organization, referencing, and pace spot on. Great content. Please keep up the great work. Thanks :)

This was an awesome video Maya. Thank you so very much for the wonderful and very helpful information! 🙏

Good Job Maya :) I thought about many ideas while watching your video!

This is incredible. Thank you so much for sharing. Very inspiring!

I'm relieved to find someone else who faced challenges while running local models. Your sincere and practical review is appreciated. Unlike many others who simply join the hype train without discussing their struggles, your honesty is refreshing. Thank you.

Huge thanks for such detailed, well structured and illustrated information! The best video I’ve watched on AI so far.

Wow. Thank you for such a great video and for sharing these insights. Really good.

I want to thank you for this video! It is one of the most informative videos I have seen. Now that I watched it through I realized you really did your homework. I appreciate it.👏

Super work there Maya. You earned a subscriber, and a follow. I built an agent on node with run tools with custom functions over RAG. But this is next level only, will try this next. Thanks again. Keep shining

First time i encounter your channel/videos, and immediately got a subscribe from me. I love the clear explanation, straight to the point, no over promising or "Make $3000 dollar a day with these 10 simple bla bla". Thank you for keeping things real and useful. Breath of fresh air!

Absolutely Stunning Maya, Thanks for sharing these golden information.🤩

I haved learned few very important things from your video. Thank you for an amazing video 🙏

This is an incredible guide!!! Thank you so much for making this video

this is so in-depth and really appreciate your hard-work and dedication Maya.

One of the best, honest reviews - love this! Thank you!

Thank you for your clear and lucid explanation about CrewAI !!!

AMAZING video Maja! Thank you so much ❤

Excellent explainer... Congrats and keep going !!!! Hello from Dominican Republic.

Maya, have to say - that was in-depth. Love the detail. Expensive running GPTs with CHAT 4. The output is definitely worth it though. I guess getting your own custom newsletter every day for less than a dollar does save research time. The next step is to get that file data into the actual newsletter now. Cheers for the free resources on Langchain. Just getting into APIs with py and deployment apps. I predict that you will have a great future on RU-vid. Keep up the good work.

Great video, Maya! Please keep creating more valuable content about agent creation.

This is awesome Maya, thank you for sharing.

Literally every LLM video Title: "I automated everything" Video: "Wow no model can understand the task"

Really good foundational information and great content. Thank you!!

Love this. Really transparent and talking about limitations of models..

INCREDIBLE CONTENT. You just got a new follower

Appreciate the way you've explained difference with analogy of "Thinking, Fast and Slow"

Very good and clear explantion. I rarely comment but when i do its because is worth it. So GPT-4 was the best model for all the tasks.

Amazing video thanks for the insights.

Thanks for testing local AI models, I had a similar experience

Thanks for the info. Didn't even knew about Crew AI.

Really nice work friend. Nice narrative style and prosody while getting such a structured goal. And definitely awesome to listen discussions on the topics and decision making, this marks the difference. ... For trivial coding there is AI and Internet... for the core reasons and concepts there is us the humans

Wow! Very good video! So much GREAT info - thank you!

Wow, what great research and presentation. Thanks for sharing.

Great content and overview Maya. Thanks for sharing.

I like your setup and vibe keep this good work up

Thank you! This content is so good.

Tremendous! incredible research and findings ! THx

Thanks for making this type of content. I like it.

This was probally the most helpful video I have ever watched.

Damn, you really are DOING THE WORK and then reporting back to us for free, dude ! Thanks so much for such gem. Much appreciated !

This mirrors my experience with local models vs automation. I've come to the conclusion I either need to massively upgrade my hardware or just wait it out for a new breakthrough model. I'm a bit jaded with all the hype that never seems to live up to real-world use.

I have been considering doing this. Thanks Maya.

Great work! I'll try it out tomorrow! 👏

Wow, what an intense research on the topic! Thank you for sharing this info with us 🙏

As I loved the video, I'm going to create my agents 🕵‍♀; Thank you Maya! 😄

It's very calming to listen to you. Doesn't happen with technical videos a lot. Great vid!

Great video! Congrats!

I just discovered your channel, beautiful concept, all the best insh'Allah

Great content, thank you. Subscribed!

This is such a great, informative and well crafted video Maya, so glad to see your channel grow so quickly - no worries! It is well deserved … how does Mat Armstrong say?! “HWBT” aka “Hard Work Beats Talent” … and you’ve got BOTH 💯🔥🚀❗️👍

Maya, wonderful! I love learning from you. About local models, I bet Nous-2-Pro-7B could do a good job but have yet to try it. Keep up the good work!

Great content , keep it up!

This is awesome! Building a team of AI agents that can access real-world data sounds incredibly powerful.

That's the most mental use of a boom arm I've seen anywhere. 😆 Commented for creativity, and the engagement boost.

I used this same method only through Google apps script and integrated into spreadsheets. Nice work

Amazing content, great work and great style of explaining everything. Thanks for taking your time delivering so nice content on this topic.

This looks lovely I can't wait to take charge of work and make it more productive. Can't wait to binge on the rest of your videos newly subbed.

Thanks a lot for this video. I like it. It's very useful. :)

Watching from BerylCNC... what's your opinion on using CrewAI or AutoGen versus creating a GPT within OpenAI, and providing instructions that frame out the functionality in a similar way? My development work is mostly related to CNC tool path utilities. LLMs do a poor job of inferring and understanding geometry, so I have to bake in a lot of rules and math. GPTs seem like a cool way to get noticed, but I really need to include libraries and Python code. One of ours is called "Beryl of Widgets", and it helps makers figure out what to make and sell with the tools they have available. It could be so much more with CrewAI, I think, but then I need a way to deploy it. Great content, thank you!

Great video and LLM review.

Wow you have a talent for explaining. Thank you

Your channel is really good! Eage to see more about te AI content

Phenomenal thank you

Hey Maya! It was an amazing video! Its growing my interest to work in some stuffs more IA related, one the thing that shine to me is the Agents as a nerd I was thinking how is the effort to create a Copilot agent that would have access in some local project even the github, however, using a Local LLM

Wow! Love it!

This is like a book in one video, thank you so much! Just curious, but how would you compare the latest autogen studio to crew ai? Lots of wonderful ideas here and beautifully presented, thank you so much for publishing this, you are indeed a knowledge sharing master and the world needs more intellectual contributions like this. Thanks again!

Great content, thanks!

Great presentation. Congrats

You explain these things WAY better than anyone else I've watched, thank you!! 👍👍👍

Impressive video. The Reddit scrapper, thinking about changing ollama settings :D I'm sad your system limited your choice of LLM. But now I'm really motivated to try on my system, to test Mixtral.

Excellent review. New subscriber earned 😊. Would be interesting to see your take on Opengen Studio and compare this with Crew AI.

Ha never heard anyone mentioning thinking fast and slow anywhere that is a great book

You look like a 500k+ suscribers's creator, great job and great video btw

WOW incredible value...your work is enterprise-grade and enterprise-ready ithank you so much for this huge work i'm a software engineer (Java, Unity..) passionate about programming and i love this practical video this is amazing...thanks so much beautiful Maya!!❤ Subscribing!!!!

great, very useful & interesting. Thanks a lot for your great video

Thanks for sharing.

Nice video Maya. Do you have an opinion as to which multi-agent platform is behaving more reliably a the moment (Crew AI or Audogen Studio)? Thx

Amazing, great job! I world like to try too!!!

Good job on this video. I've used crewAI and Ollama. Always looking to see how other people are using this stuff.

everybody can do it.. then opens a terminal and starts typing 😂.. loving this video already.. can’t wait till we start pip installing stuff

I’m not a coder but want to learn how to build and tinker with these. Thanks for the clear explanations!

Actually a great video to start with AI agents, thanks

🎯 Key Takeaways for quick navigation: 00:41 🧠 *The video discusses the differences between System 1 (fast, subconscious thinking) and System 2 (slow, deliberate thinking) in the context of AI capabilities, highlighting that current language models primarily operate on System 1 thinking.* 01:48 💡 *Introduces two methods to simulate System 2 thinking in AI: "Tree of Thought" prompting and the use of platforms like CrewAI, which enable the construction of custom AI agents capable of collaborative problem-solving.* 03:26 🚀 *Outlines the process of setting up AI agents using CrewAI, emphasizing the importance of defining specific roles, goals, and backstories for each agent to ensure effective task execution.* 07:22 📈 *Describes how AI agents can be made more intelligent by granting them access to real-world data, and how to avoid fees and maintain privacy by running models locally.* 14:31 💸 *Discusses the cost implications of using models like GPT-4 for AI-driven tasks and explores local models as a more cost-effective and private alternative, despite their varying performance and capabilities.* Made with HARPA AI

It's shocking to me how quickly someone made an AI to do this, as I created my own autonomous agents in python a few months back to do these similar things. One tip I have for people trying to come up with a large & detailed tasks/descriptions is to write it in a .TXT file, and then reference it in your code. That way it keeps the code clean and also easy to modify the descriptions and tasks in the future without changing anything in the code.

appreciate the effort!

Thank you for the video. At the moment, I am experimenting with Crewai and Autogen (it uses cheaper GPT4 turbo) - these tools are improving every month. In practice, I still achieve better results when I closely collaborate with LMMs - but who knows, in 6-12 months it might be possible to fully automate my workflows.

The topic sounds incredibly interesting. Trying to follow up your steps but never used an editor before (I don´t even know what you´re talking about from minute 3:25) Question, where do you recommend me to begin to be able to make the whole project?? Saludos desde México!

subscribed for your such a detailed review and your time you took for this video….

Great content!

Will be learning more about this CrewAI. I have been using ollama to run LLMs on my Raspberry Pi5. I really need more Pi5s to run in parallel.

Hi Maya! I’m so fascinated by your technical abilities. I barely understand the whole thing, but I’ve always been fascinated by AI and started learning AI tools.I saw on your tiktok that you taught yourself Python. It would be awesome if you can also share your learning process coming from a non-tech background and how’s your progress so far. Thank you :)

It's quite possible that GPT4 is much more adept at understanding the premise of function calling, as it likely has a fine tuned expert in it's MOE to deal with "GPTs", thus making it more capable when dealing with OOTB solutions like CrewAI et al. I'd hazard that until someone fine tunes an OS model with a variety of function calling methods, and tools like CrewAI move on to more dynamic conversation flows rather than just sequential, then we'll begin to see the benefits of offline muilti-agent setups.

I just started to learn about AI and.. I barely understand whats going on here, but I'm fascinated :). I was thinking about possibility to create this kind of agents/assistants for tasks like searching informations about specific topic online. I will follow you :),

My understanding is that using a larger quantized model works better. I’m planning on trying it soon on my computer, maybe with autogen. I’ve got a 4090, i9-10900k, and 64Gb RAM, so I’m hoping I can run maybe a 30b quantized model on it. I read that the ~5-bit quantized models are the sweet spot that reduces your memory footprint without any significant loss in quality of responses. 4-bit is still good but takes enough of a hit to matter. Again, haven’t tried it myself, so maybe I’m mistaken, but that’s what I read.

Thanks for the refreshingly honest results rather than the usual fake hype. It looks to me that LLMs have a long way to improve before autonomous agents can become actually useful.

I watched Matthew Berman’s video on AutoGen, what made you decide to use CrewAI and have you tried/compared it to AutoGen?

Thank you for your great research and video. Concerning Daniel Kahneman´ system 1 and system 2, the French neuroscientist Olivier Houdé proposes a continuation of this theory, based on the latest neurology discoveries. He published a short book called “L’Intelligence humaine n’est pas un algorithme.” that is easy to read and understandable, and as it is short, it might be easy to translate to English with an LLM.