For conversational AI teams in coaching, learning, and care

Users love your AI. Now prove it holds up in production.

We build the eval sets and boundary rules that catch a bad answer before a user does, on every model change.

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, not the model.

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

Early users love the experience, but you can't yet show why it will last.
An investor or enterprise buyer is asking how the product holds its value over time.
A new model just shipped, and you want it to lift your product, not leapfrog it.
You need a product path that sells and keeps customers, not just more engineering.
You have valuable data, but nothing yet that turns it into a product buyers pay for.
You can't tell which parts of the product are worth building for the long run.

Pressure-test my product

Earlier than that? See where to start.

How we help

Pick the depth that fits, from a one-week review to a monthly retainer.

We embed with your team to find the quality risks, ship the fix, and own the loop that keeps it working.

You need a fast, expert read

Working block

A focused block of senior time to pressure-test the product, surface the quality risks, and decide the next move. The quick way to start.

You need a defined outcome shipped

Focused sprint

We turn your method into product behavior, build the golden set and boundaries that measure it, and ship improvements you can prove and take to a buyer.

You need a standing partner

Ongoing studio support

We stay close to the roadmap, the quality loop, and release decisions, including the privacy, safety, and technical choices that govern how you ship.

Pressure-test my product See how we work →

What compounds

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.

Exploring · on request

Pre-production rehearsal. For agents that take real actions, we can rehearse against a copy of your real setup before launch, so problems show up in testing, not in front of users. An emerging capability, offered on request.

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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.

Explore the packs →

Example behavior packOne example, for guidance products

Reflect before advising
The user arrives activated. The agent steadies the moment before it reaches for a fix.
Ask one good question
When more is unknown than known, the agent opens the right door instead of filling the silence.
Stay non-defensive on hard topics
On contested ground, the agent helps a person think instead of winning the argument.
Escalate without abandoning
When a moment turns risky, the agent shifts into support without going cold or robotic.
Report progress, protect privacy
The agent shows a sponsor that it's working without exposing what was said in confidence.

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

Read the case study →

supplierkit.com

Operational decision-support AI · SupplierKit

An ops AI a coordinator can put in the workflow

Read the case study →

David Meehan

Founder, Hunter Green

Connect on LinkedIn

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 →