I’ve been building production-grade AI systems focused on LLMs and real-time voice agents. Recent work includes: End-to-end LLM systems (RAG, tool calling, eval pipelines) Real-time voice agents (STT → LLM → TTS with streaming + interruption handling) Scalable backend systems (FastAPI / Node, async workers, Redis queues) Latency and cost optimization for production AI Tech stack: Next.js · FastAPI · OpenAI / local models · Vector DBs · WebRTC · Deepgram · ElevenLabs What I’m looking for: AI product teams Startups building voice or LLM-native apps Contract or full-time roles If you’re building something serious in this space, DM me or comment and I’ll reach out.

Hey everyone, Just created a new Instagram, follow along here if you're keen: https://www.instagram.com/brendanjowettai Cheers!

In this video, I’m going to show you the real AI voice agents businesses are paying $12,000 or more to build and have been using for years. This video will give you a clear picture of where the voice AI market is actually heading and which opportunities have the most potential. Make sure to stick around until the end, because I’m also going to be revealing a use case I would highly recommend staying away from... Drop a comment on the video, it helps out alot 👇

Learn the step-by-step process for creating professional, client-ready proposals and pitch decks in minutes using AI. For this video, I showcase our workflow for using Claude combined with Gamma AI to generate slides that are professional, and perfectly branded. Transforming project details into a compelling presentation that helps you sign more clients and save countless hours. Check it out 👇

We just had a great conversation in the AI Launchpad yesterday with Ming Xu! Here's what we discussed: - Lead generation methods for Voice AI working today - How to pitch voice AI services for different business types - The best niches for Voice AI services - & more! If you want full access to the recording + the top Voice AI niches cheat sheet, you can get access in our AI Launchpad. Cheers! Brendan