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Joining the challenge with an update to an old project!
"Which Major Is for You?" is a personality quiz that uses a point system to rank your results based on your responses.
Back when I created this project, I used a crazy setup that combed through every point value, resolved duplicates, and changed each result's "place" on the podium...all through State Machine layers and transitions 😅
When Scripting came out, I thought about this project and said, "Maybe I could eliminate the need for that setup and just use code." Sure enough, after a SINGLE prompt with the AI Agent, I had in one minute what previously took me about three weeks to manually figure out!
Scripting is insanely powerful. I'm still super new to this feature, but I can't wait to integrate it more and more into my future projects!
That state machine is craaazyyyyy
Haha, it was a massive challenge just figuring out how the math and timing behind it would work! Scripting would have saved me all those weeks if I was able to incorporate it into this project 🫠 I'm just happy to have it now and use it for relatively simple tasks that would be...
Love how you revisited an old project and let the new tools do the heavy lifting!
Scripting came to early access right after I completed and presented this project, and I immediately thought of it as the perfect solution to this wacky State Machine! In fact, this revisit was kind of my introduction to Scripting, and I still need to learn more about its true...
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AI Agent Designer work starts with the channels, not the prompt.
For MeetClaw, I designed the setup around where the assistant needs to live, which model provider fits, and where state should stay. The work then moves through installation, configuration, and hardening on the client's own machine.
I build with approvals, read-back, and real integrations in the loop, so the design survives contact with the workflow instead of stopping at a diagram.
If your agent needs to work across several channels, message me with the machine and the channels.
Just wrapped up my Autonomous Resume Verifier for the Micro1 Challenge! I built this AI agent to automate candidate screening by parsing and evaluating resumes instantly.
Tech Stack: Python, Streamlit, Llama 3 & Groq API.
Check out the video to see it in action! Let me know what you think.
#ArtificialIntelligence #Python #Streamlit #Llama3 #Groq #Micro1Challenge #WebDevelopment #AIAgent #FreelanceDeveloper
Perfect
built a WhatsApp and Telegram automation system using n8n and AI to manage customer conversations and bookings from start to finish.
The workflow handles FAQs and customer enquiries automatically. When a customer wants to book an appointment, it asks for the service they’re interested in, preferred date, and time, saves the booking details to Google Sheets, and sends a confirmation message back to the customer.
If a customer asks to speak with the team, the workflow routes the conversation to the appropriate team member on Telegram. The team member can then manually communicate with the customer, with messages flowing from WhatsApp to Telegram and from Telegram back to WhatsApp.
The goal was to automate the repetitive parts of customer communication and appointment booking while keeping a smooth WhatsApp ↔ Telegram human handoff when a real team member is needed.
The handoff is the part I would want to hear more about. Once a team member picks the thread up on Telegram, what tells n8n to stop answering on WhatsApp - a flag it writes, or just that a human replied? The one that bites me is the human going quiet for twenty minutes and the...