New Products

Turn an AI Prototype into a Product Architecture.

Move from a working demo to a launch design with clear boundaries, permissions, evaluation, cost controls, and support paths.

Who It Is For

Startup, product, or platform teams with an AI-backed prototype that needs to become dependable software.

First Step

Bring the prototype, target user, and trust-breaking failure modes. I will separate launch-critical work from novelty.

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Where the work starts

Clarify

The demo works, but the boundaries between model behavior, customer data, permissions, and operator review are not defined.

Latency, GPU/API spend, evaluation quality, and support burden are not tied to the product plan.

The team needs to know what must be custom, what can be bought, and what should stay simple for the first launch.

Example engagements

Work Together

Define the product boundary between user workflow, model behavior, data authority, permissions, and operator intervention.

Create a launch architecture for retrieval/context, tools, evaluation, observability, incident review, and support escalation.

Build a near-term roadmap that separates product-critical AI from expensive novelty.

Likely deliverables

Leave Behind

Product BoundaryLaunch ArchitectureEvaluation PlanBuild/Buy/Roadmap Decisions