The problem: The client was running campaigns across disconnected tools, managing contacts in spreadsheets, and had no unified analytics. The standard approach would be a 6-month agency implementation or stitching together a dozen SaaS subscriptions requiring dedicated operators for each.
The approach: Rather than integrating existing tools, I built a single custom platform using Supabase, Vercel, and LLM API integrations. AI-driven development workflows made it possible to ship production-quality features at a pace that wouldn't be realistic with traditional development.
What was built: AI-generated content that's actually usable in production, full email marketing with automated journeys, ABM campaign management, in-person prospecting workflows, a referral system, analytics, and proposal generation. The content engine uses LLM integrations for drafting, editing, and repurposing across channels.
Two features are worth highlighting. "Intelligence" and "Platform Brain" are self-learning recursive loops built directly into the platform. An integrated model analyzes both internal user behavior and the external analytics stack, then surfaces targeted suggestions for improving UX, marketing, sales, and content. The feedback loops are continuous, so the system refines its recommendations the more it's used. This kind of recursive learning loop is something I build into every system I create. It's one of the most valuable things AI enables: systems that don't just execute but actively improve themselves over time.
Outcome: Live and fully operational in 45 days. One unified platform replacing a stack of disconnected tools.