Shipping with AI

In this episode, the panel explores how legacy companies are becoming AI‑native. Greg from Shipcom describes the arduous process of re‑architecting a hundred‑person operation, embedding large‑language‑model assistants and agentic tools like Claude Co‑Work. The discussion highlights rapid prototyping—Derek built a photo‑upload feature with Cursor in just a few hours—showcasing how non‑traditional developers can now deliver production‑ready components without deep engineering cycles.

The conversation then shifts to ScoreStream’s innovative data‑monetization strategy. By publishing game scores to a blockchain, the platform lets third parties purchase granular data using cryptocurrency, bypassing traditional API key management. This decentralized approach reduces monitoring overhead and creates a metered, token‑based revenue stream, though it also raises regulatory hurdles around token issuance. The team explains how blockchain enables secure, auditable access to high‑volume sports data while preserving crowd‑sourced integrity.

Finally, the hosts examine the emerging edge‑compute paradigm. With new local models capable of running on consumer laptops and GPUs, developers can move AI workloads off massive data centers and onto the edge, unlocking cost‑effective, low‑latency solutions. This shift mirrors past migrations from on‑prem to cloud, suggesting a new cycle of architectural reinvention. As edge AI matures, businesses will need to redesign tooling, security, and deployment pipelines to harness distributed compute, positioning themselves for the next wave of AI‑driven innovation.