What observability tools are others using with Pipecat or similar voice AI frameworks? I've built a production voice agent using Pipecat and currently track basic metrics (call duration, sentiment, summary, transcripts) in a custom dashboard. Tomorrow it's going in production so problem I think I can face is When errors will occur, debugging is painful. My current logging approach creates massive log files that are nearly impossible to analyze efficiently when tracking down issues.

Today, Me and My Partner dug deep into market research for our startup! For those of you who don't know! We are creating a B2B platform for smart navigation, safety, and real-time assistance in crowded venues and live events. We used ChatGPT Deep Research, NotebookLM and our connections to get feedback on our idea and it went well! I also realized one of my family member is working on event management, giving us an upper hand on the market validation and getting our first clients💪 Nothing Else! If you have any feedback on this idea then feel free to comment or directly Texting me! #BuildingInPublic #Startup2026 #EventManagement

I’m currently working on a project called Smart Concert Experience Platform, which focuses on improving navigation, safety, and real-time assistance for attendees at large live events using QR-based access and intelligent routing. The idea is to help people easily find gates, washrooms, food stalls, and exits, while also supporting emergency guidance and offline usability in crowded venues. Core Features QR-Based Access: Allows users to instantly initialize event and venue context by scanning a QR code at the concert location. Intelligent Navigation: Provides shortest-path guidance within the venue using graph-based routing algorithms. Crowd-Aware Routing: Dynamically suggests routes that avoid simulated high-density areas to improve movement efficiency. Emergency Mode: Instantly guides users to the nearest safe exit during emergency situations using predefined evacuation paths. Offline Mode: Ensures core navigation and information access remain available without internet connectivity after QR initialization. Lost & Found Movement Tracking: Enables users to review their recent movement history to identify locations where they previously stopped or passed through. Value Add-Ons Micro-Notifications: Delivers location-based alerts and tips triggered by the user’s proximity to venue facilities. Multi-Language Assistant: Adapts the assistant’s responses to the user’s preferred language for improved accessibility. Future Scope Person-to-Person Sharing: Allows nearby users to share approximate locations with consent to help locate companions within the venue. Organizer Dashboard: A read-only interface that visualizes simulated attendee movement and crowd density across venue zones to support event monitoring and planning. I’d love to hear your thoughts, from a user, organizer, or tech perspective on how such a platform could be useful, what features you’d expect, or what challenges you see in real-world adoption. Open to feedback and ideas. Thanks in advance!

This year was one of the best grinds I have ever done, but the very least! I landed my first internship(Really Thank Atul Benoy Philip for giving me the Opportunity and Support), secured my first client, joined multiple contests, and built meaningful connections with many interesting people! And yet, this is just the START! This is just the beginning of something HUGE! Of Course, Just calling the OpenAI API won’t be enough! I want to build products that ship and scale! ... I have had some insane mentors throughout this journey! My elder brother, Ayman uddin, who backed me from day one! He introduced me to LangChain and lead me to the Space of AI! Really grateful for his support 💪 Then I had Mohammed Akhnas Gawai! He really helped me in my projects despite me revoking prod API keys and spamming texts in Whatsapp 😅. Really Grateful for his support! 💪 Really Grateful for this year, and even more excited for what’s next! In 2026, the mission is clear! Master AI/ML fundamentals like neural networks and algorithms, launch my startup, and help real companies automate. Documenting every step in Public! 💪. Nothing else.. -> This is Day 95-100 Of Learning In Public! <- #LearningInPublic #AIJourney #GrindMode #2025WrapUp #VoiceAI #LangChain #InternshipWins #NoCode

Note: This is my first post in this community! I have posted all my previous days on my LinkedIn, so if you're interested, then do check it out! Hey Humans! Been in a call with my mortgage client and finalized all the updates that were needed to be made! Will complete everything by the end of this week! I also started watching a video on python just to get back to writing code.. I realised that my programming skills were lacking behind by using these no code tools.. So getting them all back with some advanced skills as well! I skipped most of the topics and kept it in 2x playback speed, but the video was worth it! This is the video that i started watching: https://www.youtube.com/watch?v=ygXn5nV5qFc I have just finished the setup part! Will finish the whole course by tomorrow! Nothing else! #LearningInPublic #Python #NoCodeToProCode #AIBuilder #DevJourney #AutomationEngineer #CodingJourney #VoiceAI #Productivity #DailyBuilds #CodeEveryday #IndieHacker #BuildInPublic #StudentDeveloper