New Products
I work with teams building products where AI, knowledge layers, and operating feedback loops are part of the company architecture, not features bolted onto a dashboard after the product is already fixed.
Who It Is For
Startup teams, product leaders, and platform teams building new AI-backed products or internal platforms.
First Step
Start with the product promise, target user, and current prototype. I will separate product-critical AI from expensive novelty.
Start a ConversationThe product demo works, but the knowledge model, evaluation loop, permissions, and failure modes are unclear.
Infrastructure cost and latency are not tied to product value.
The team needs an architecture that can evolve from prototype to customer-facing service.
Define the system boundary between model, knowledge layer, workflow, user, and operator.
Create an initial architecture for context, tools, memory, evaluation, AI system observability, and incident review.
Plan what must be custom, what can be bought, and what should stay boring.
