Jeremiah Krage

I help teams design and improve customer-facing AI agents so they perform reliably in real-world use.

Many AI products work in demos but break down in production: inconsistent responses, unclear fallbacks, and behaviour that shifts over time. This creates friction, reduces trust, and impacts retention and conversion.

I work across product, engineering, and CX to make AI systems usable, predictable, and aligned with business goals.

Typical projects include:

• Designing conversational flows, guardrails, and interaction patterns

• Identifying failure modes through conversation analysis and testing

• Building evaluation frameworks (including golden sets) to track quality over time

• Improving onboarding, fallback logic, and escalation paths

• Translating brand and product intent into consistent AI behaviour

Recent work:

• Designed behavioural architecture and evaluation systems for a production AI assistant (Vessa.ai)

• Built modular persona and evaluation frameworks for EmotionMachine.ai

• Developed GTM and outbound systems generating above-benchmark engagement (Mentalwell: 29.9% open rate, 17.1% CTR)

I typically work with:

• Early-stage startups building AI products

• Product teams shipping conversational interfaces

• Agencies implementing AI for client experiences

If you are building or scaling a customer-facing AI agent and want it to behave consistently and perform in production, I can help.