Liam Ottley
Founder & CEO, Morningside AI | Leading AI Agency Builder & Educator
Liam Ottley is the founder of Morningside AI, an AI development company based in Auckland, New Zealand. With a background in eCommerce and digital marketing, Liam has spent his adult life as an online entrepreneur, driven by a passion for innovative projects and a desire to make AI education accessible to all. His entrepreneurial journey began during a gap year in Edinburgh, where he transitioned from traditional education to the world of online business, gaining invaluable experience in digital marketing and eCommerce. In 2022, Liam rekindled his interest in coding and machine learning, teaching himself Python and exploring language models like BERT. This newfound focus led him to launch a YouTube channel dedicated to AI entrepreneurship, which has rapidly grown to over 116,000 subscribers. Through Morningside AI, he aims to empower other entrepreneurs by providing resources and education to help them start and scale their own AI agencies. Liam's journey reflects his commitment to continuous learning and innovation, as he strives to build a leading AI development firm while impacting the lives of thousands through accessible AI education. He is excited about the future and the opportunities that lie ahead in the ever-evolving landscape of artificial intelligence.
Areas of focus
Professional niches
Proof of Work
Enterprise AI Solution Discovery & Scoping Blueprint
A structured agency methodology developed by Liam Ottley detailing how systems integrators can audit enterprise bottlenecks, price custom AI agents, and build defensible client delivery agreements.
Business consulting blueprint; technical automation success depends on client API access and data readiness.
Context: Tailored for enterprise workflow integration using Make, n8n, LangGraph, and Supabase.
View missionMorningside AI: Autonomous Multi-Step Workflow Engine & Error Recovery
A verified production automation architecture implemented by Liam Ottley at Morningside AI, orchestrating multi-agent state machines, deterministic validation gates, and human-in-the-loop review queues.
Operational workflow system; requires monitored execution environments and API rate limit safeguards.
Context: Multi-agent systems, Voice AI, and custom client chatbots.
View mission