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AI Developer Accelerator

9.9k members • Free

12 contributions to AI Developer Accelerator
AI Developer Accelerator Guest Speaker: Dan Martell (Martell Ventures) – Tomorrow!
Quick reminder: Tomorrow at 6PM EST we've got a special AI Developer Accelerator guest speaker session featuring Dan Martell, founder of Martell Ventures—an AI venture studio actively building and partnering with successful AI startups. Dan will share his practical framework called the AI Adoption Ladder, designed to help you launch and scale AI products from initial idea to widespread adoption. Whether you're building your first app or scaling an existing project, you'll get actionable insights from someone who's reviewed thousands of AI startups and knows what's working right now.​ Here's what you'll learn: ✅ Real-world AI opportunities and use cases ✅ Key traits that set successful AI startups apart, based on 3,000+ applications reviewed ✅ Live answers to your questions during our Q&A 📅 When: Tomorrow at 6PM EST📍 Where: Here on Skool! Check out the calendar. Have a question for Dan? Submit it ahead of time here: 👉 Submit your questions​ Looking forward to seeing you there and diving deep into your questions! See you there, Brandon Hancock 🧑‍💻 P.S. If you haven't heard about Dan Martell before, here are a few of my favorite videos so you can catch up to speed: - https://youtu.be/wTJrzGeMJPI?si=DtAVet1t2v9tGbPa - https://youtu.be/DW8mACQOfGo?si=_ORrdEBKeyTj-EuD​ - Software as a Science: Unlock Limitless Recurring Revenue Without Losing Control
2 likes • Jul 7
AI Developer and big into fitness what else can I ask for. Major score @Brandon Hancock
Google ADK Agent consumed by Next.js page
@Brandon Hancock - I believe you had mentioned you may be doing a vid where a front end client like Next.js was consuming a google adk agent served up by FastApi or something along those lines. Is that on the horizon soon as I believe a few of us were requesting one of those. I did get the agent from Google ADK documentation working but I just think there's gotta be a more effecient way of simply consuming an agent to say a simple chat window call from a frontend to a google adk agent being served up by FastApi. I would be very interested in how you would develop that.
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Issue with Google_Adk agent
@Brandon Hancock - Follow up to earlier question today. After doing some more testing of my agent that consumes a class from a tool call that points to a chroma vector db. When we were on the call I displayed that issue where my chroma vector db wasn't returning any data from my call but when I ran the class with an instance locally it queried and returned results from chroma db without issue. I'm using persistentclient db with a path of ./chroma_db. I did a test and when I run locally the collection has a size of 225 but when the agent calls from adk_web run however it has a size of 0. Could it be an issue of path the adk_web agent is calling or something with permissions the agent doesn't have. Very odd issue. Pretty straight forward class. I have snippet of code below. Any suggestions??? The AI Agent calls getTechInfo2. And I did take your advice and add description to the tool class EmbedFeedsnew: def __init__(self, collection_name="arcade_issues"): self.client = chromadb.PersistentClient("./chroma_db") self.embedder = OpenAIEmbeddingFunction( api_key=os.getenv("OPENAI_API_KEY"), model_name="text-embedding-3-small" ) self.collection = self.client.get_or_create_collection( name="rollomarkdown", embedding_function=self.embedder ) def getTechinfo2(self,criteria:str) -> dict : # Directory containing your markdown files markdown_directory = "files" # Initialize ChromaDB client (using persistent client for saving to disk) chroma_client = self.client # Define the OpenAI embedding function #embedding_function = OpenAIEmbeddingFunction(api_key=os.environ.get("OPENAI_API_KEY"), model_name="text-embedding-3-small") embedding_function = self.embedder # Create or get a ChromaDB collection #collection = chroma_client.get_or_create_collection(name="rollomarkdown", embedding_function=embedding_function) collection = self.collection # Example query query_text = criteria print(f"The query test is: {query_text}") results = collection.query(
1 like • Jun 19
Thanks @Bastian Venegas I will look at this today. Much appreciated brotha..
Upcoming Conference
One of the places I do my continued learning Datacamp just sent me this today. I believe I will dial in to watch. Just sharing in case any of my family up here want to dial in as well. Has been on my list to watch some presentations on it's usage in Industry.
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Upcoming Conference
Upcoming Classes
@Brandon Hancock - Any update on any classes you will be running in the next few months?
1 like • Jun 7
Nice. I'm in..
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Marc Juretus
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38points to level up
@marc-juretus-9342
Been a Full Stack Developer for 25+ years. Looking to broaden my skillset and maybe into other opportunities.

Active 3d ago
Joined May 4, 2025
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