In this episode of The Savoir Faire Audio Experience, we’re joined by Mo Nasir, a boundary-pushing entrepreneur and co-founder of General Agency AI and Tessa AI. Mo and his team are pioneering new frontiers in autonomous AI systems that learn like humans—from experience and natural language feedback. Backed by Y Combinator, Mo’s company is building the future of work, one AI coworker at a time.
Mo takes us behind the scenes of Tessa AI, an AI agent designed to run workflows directly in your browser and adapt in real-time to user input. We dig deep into how Tessa leverages continual learning and human-like feedback loops to transform productivity, eliminate repetitive tasks, and make AI an actual team member—not just a tool.
The episode also explores Mo’s early experience testing GPT-5 and his insight into how model routing systems work, the impact of GPT-5 on user trust, and what enterprise-level AI integration really looks like. Mo shares his technical perspective on creating AI agents that are not only functional but deeply useful in enterprise settings.
🔑 Key Takeaways:
What continual learning means for the future of enterprise AI
Real-world evaluation and testing of GPT-5
Insights on model routing systems and workflow automation
How Tessa AI turns natural language into executable browser actions
Why General Agency AI is focusing on eliminating “tasks humans don’t want to do”
🎧 Ideal For:
AI developers, researchers, and early adopters
Tech entrepreneurs and SaaS founders
Enterprise teams looking to integrate AI into workflows
Anyone fascinated by GPT-5, agentic AI, and the evolution of productivity tools
📲 CONNECT WITH MO NASIR
🌐 Website: https://www.generalagency.ai
🌐 Tessa AI: https://www.tessa.ai
📲 LinkedIn: Mohammed Nasir
🔗 CONNECT WITH SAVOIR FAIRE
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