As AI models move into high-stakes environments like Defence and Financial Services, standard input/output testing, evals, and monitoring are becoming dangerously insufficient. To achieve true compliance, MLOps teams need to access and analyse the internal reasoning of their models to achieve compliance with the EU AI Act, NIST AI RMF, and other requirements. In this session, Mike introduces the company's patent-pending AI assurance technology that moves beyond statistical proxies. He will break down the architecture of the Synapses Logger, a patent-pending technology that embeds directly into the neural activation flow to capture weights, activations, and activation paths in real-time.

AI agents aren’t “helping” devs code anymore—they’re starting to run the workflow. This panel pokes at the uncomfortable question: are engineers still in control, or just supervising very confident machines that are slowly replacing how we think, design, and build software?

“Agent as a product” sounds like hype, until Hotmart turns creators’ content into AI businesses that actually work.