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Hunter Green

For high-trust AI products

Turn your method into a reliable AI system.

Hunter Green helps teams translate high-trust work into AI products with the architecture, guardrails, and evals to improve with confidence.

Building the systems that help high-trust AI products improve reliably.

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The moment you’re in

Where AI products stall before they’re reliable.

Most teams stall in the same place. The product works in a demo, then feels inconsistent with real users, and no one can prove it’s improving.

You’re probably in the right place if

  • You have experts and content, but no repeatable way to turn them into product behavior.
  • You have more to build than you can ship, and weak signal on what matters next.
  • Your prompts are multiplying and getting hard to manage.
  • You’ve launched, but quality feels inconsistent and you can’t always say why.
  • You need evals, not more prompt-tweaking.
  • Enterprise customers are asking hard questions about privacy, safety, and reliability.
Bring us the problem

Earlier than that? See where to start.

How we help

Start where your product is stuck.

We come in at the point that’s slowing you down, then build out from there. Most teams start with one of these and grow into the rest.

You have experts and content

Turn expert methods into product logic

We clarify the product journey, define the core user moments, and turn your method, content, and people into consistent product behavior.

You’ve launched, but quality feels random

Improve conversational quality

We define what good means, build the golden evals and guardrails that measure it, instrument the system, and ship improvement you can prove.

Enterprise is asking hard questions

Prepare for pilots, enterprise customers, or scale

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

What we deliver

The system behind a product users trust.

We design the product logic, conversation architecture, memory, guardrails, and eval loops that make quality repeatable. Your team owns and runs all of it.

See what you’ll own →

Conversation architecture

How users move through the moments that matter.

Golden evaluation suites

How quality becomes something you can measure.

Safety & boundary systems

How your principles become product behavior.

Improvement loops

How releases stop being a matter of opinion.

Knowledge structures

How your methodology scales past the experts.

Behavior Guidance Packs

We don’t start from scratch.

Every build starts from a runnable pack: the behaviors a guidance agent has to get right, with the datasets and scorers to test them. Your eval stack shows what happened; the pack defines what should have happened, tuned to your data so quality compounds into a moat.

Explore the packs →

  • 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.

Selected work

Active improvement loops in production.

All case studies →
David Meehan, founder of Hunter Green

David Meehan

Founder, Hunter Green

Connect on LinkedIn

Product judgment

The hard part is knowing what to build next.

Most teams aren’t short on ideas, they’re short on signal. I’m David Meehan, and I bring product thinking and user-behavior loops to that exact problem. I read what users actually do, cut through the backlog, and decide what to build next, the same way for a startup finding traction or an enterprise team with too much to ship.

I’ve led product across startups and global, compliance-heavy companies. Hunter Green is the studio I run to turn that judgment into AI products your users and buyers trust.

Bring us the problemMore about the studio →
Bring us the problem