End-to-End AI Product Systems: Runtime to Revenue
Naman Bhayana
I build AI products end to end, from the runtime to the market motion that sells them. Four layers, one accountable owner.
• Go-to-market. SEO and AEO surface, paid on Meta, Google and YouTube, a daily outbound agent, voice concierge, brand and site
• Product. Scoping, default-deny access control, subscription billing, dashboards, admin and onboarding
• AI runtime. A custom agent runtime with retries and cancellation, two-stage model routing, cost-provenance metering and evidence guards
• Data and finance. Vector retrieval, document ingestion, market-data pipelines, per-tenant spend ledgers and financial modelling
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Posted Nov 3, 2026
The four layers I design and ship: go-to-market, product, AI runtime, and data and finance. One owner from architecture to revenue.
