AI Integration

    Add AI where it moves the metric. Not where it decorates.

    Four weeks to identify the 1–3 places AI changes your unit economics, then ship them end-to-end — models, prompts, evals, infra.

    Timeline
    4 weeks
    Investment
    From $12,000
    Best for
    Existing products where AI could meaningfully change retention, conversion, or cost.

    Direct work with Itai Varochik. No agencies, no juniors.

    The problem

    Most 'AI features' don't move the metric.

    • 01You shipped a chatbot. Nothing changed.
    • 02You don't know your real cost-per-call or latency.
    • 03Your team has no eval harness, so quality drifts silently.
    What you actually get
    • AI opportunity audit
    • Model + provider selection memo
    • 1-3 shipped AI features
    • Eval harness + guardrails
    • Cost & latency dashboard
    What changes after
    • Measurable lift on a north-star metric
    • AI as infrastructure, not a demo
    • Internal team able to extend the work
    Why operators pick this
    01
    1–3 shipped AI features
    02
    Eval harness + guardrails
    03
    Cost & latency dashboard
    Common questions
    Which models do you use?+

    Whatever wins on cost, latency, and quality for your use case. Provider-agnostic.

    Do you handle vector / RAG?+

    Yes — embeddings, retrieval, re-ranking, evals.

    Will my team be able to extend it?+

    Yes. Documentation and walk-through included.

    Ready to start?

    20-minute intro call. If it isn't a fit, I'll tell you straight.

    Book intro call