Better Creative with JSON - VEO3 demo using JSON prompts and a Free Tool

In this episode of The Build, Cameron Rohn and Tom Spencer demo a VEO3 workflow using JSON prompts and a free tool, walking listeners through practical AI development and productization strategies. They begin by comparing model performance—highlighting the Google VO3 Model, VO3 Fast Model, and GROK Model Performance—while showing a live VEO3 Tool demo and integrating outputs via the Replicate Platform. The conversation then shifts to developer tooling and architecture decisions, where Langsmith, Vercel, Supabase, and MCP tools are recommended for orchestration, hosting, and data persistence, and API integration patterns for AI agents are outlined. They explore structured prompt design using frameworks like Explicit Prompt Completeness, Research-Based Prompt Templates, and Structured JSON Prompting to create deterministic multimodal pipelines. The hosts unpack building-in-public tactics, monetization ideas such as a JSON Prompt Builder, an On-Demand AI Video Service, and an AI Storyboarding Tool, and practical developer workflows for iterating in public. Then they analyze technical trade-offs around agent orchestration, latency, and cost, proposing concrete architecture blueprints and MCP tools for monitoring and observability. Finally, they emphasize community-driven, open workflows and leave a forward-looking takeaway: developers and entrepreneurs should prototype in public, iterate on JSON-first interfaces, and prioritize scalable, instrumented architectures for rapid AI productization.