For conversational AI teams in coaching, learning, and care

Make high-stakes AI guidance reliable enough to scale.

We build the eval sets, boundary rules, and escalation paths that catch a wrong answer before a parent, a patient, or a regulator does.

Pressure-test my product

A short call. We look at your biggest quality gap and give you a straight read on closing it. No code or data access needed.

Trusted by teams building coaching, learning, and care products people rely on.

Beyond the model

Your edge is the eval set and boundary rules you keep.

Anyone can call the same model you do. What lasts is the eval sets, the boundary rules, and the conversation design you own.

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You're probably in the right place if

Users love it, and that's the only proof you have.
The pitch promised safer AI.
Someone is about to look inside.
The expert can't review every reply.

Pressure-test my product

Earlier than that? See where to start.

How we help

The three problems teams hire us for.

Bring us in as a one-off diagnostic, an outcome-defined sprint, or a standing partner on your roadmap.

Your product is live

A quality system, not more reviewers.

An eval suite that scores every answer against your bar, a gate that catches the regression on every model change, and a loop that turns each failure into a permanent test.

You made a safety claim

Build the system that backs it.

Escalation paths, refusal rules, and release gates, with evidence a clinician, an enterprise buyer, or a regulator can check.

An expert's method is the product

Turn the method into behavior you can test.

The method written down as conversation design and scored examples, so the product holds the expert's bar without them reading every reply.

Pressure-test my product See how each engagement runs →

What you own when the work is done.

Conversation design, the eval set that scores every change, the rules your agent won't break, and the loop that turns each failure into a new test. You own all of it.

See what compounds →

Conversation architecture

Where your coach decides to push, back off, or hand the user to a person.

Golden eval sets

Scored example answers that catch a regression before a model change ships.

Safety & boundary systems

What your agent refuses, and when it tells a user to call a doctor.

Improvement loops

A weekly routine that turns each failure into a test that stays in the suite.

Knowledge structures

The expert method written down, so it runs past the few people who hold it.

Behavior Guidance Packs

Start with the moments where a wrong answer loses the user.

Every build starts from a ready-made set of those moments, like spotting a crisis or refusing medical advice, each with the checks to test it. We tune it to your product, so your first eval suite is days in, not months.

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What we've built

Avani's coach learned when to stop and tell a parent to call a doctor.

All case studies →

askavani.com

Coaching & relational AI · Avani

A coaching AI that knows when to stop coaching

Conversation architecture, memory the user controls, refusal and boundary behavior, and evals tuned for tone and steadiness.

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supplierkit.com

Operational decision-support AI · SupplierKit

An ops AI a coordinator can put in the workflow

A human-in-the-loop verification workflow, a durable system of record, and readiness monitoring that flags what's expiring.

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David Meehan

Founder, Hunter Green

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Build what compounds.

Most teams have plenty of ideas and weak signal on which ones matter. Let's find where your team should be focusing on the user experience that general purpose tools can't compete with.

I've led product at startups and large, compliance-heavy companies. Hunter Green is the studio I run to build conversational AI that users can trust.

Pressure-test my product More about the studio →