Services
Make your coaching, learning, and care AI safe to ship.
You start with tested behavior packs and the eval set that scores every release, so quality is measured, not guessed.
What the work covers
Start wherever your product is today.
You leave with an asset you keep, whether that is a ranked risk list, a golden eval set, or an owned quality loop.
See the work on real products →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.
What it unblocks
You see what a security review or a serious buyer would find, while it is still cheap to fix.
The asset you keep
A ranked list of the quality risks and the one next step, written down.
- Product and architecture review
- A read on conversation and eval strategy
- The quality risks, named and ranked
- A recommended next step
You need a runnable pack shipped
Pack buildout
We turn your method into a runnable Behavior Guidance Pack and stand it up in your eval stack, so every release is scored against your bar and you can prove the quality to a buyer.
What it unblocks
An evidence packet that clears your pilot or your enterprise review, with proof a clinician, a buyer, or a regulator can check.
The asset you keep
A golden eval set you keep, scoring every change against your bar and catching regressions before users do.
- Your method, built into product behavior
- A golden eval set and scorers
- Boundaries and safe responses
- A trace contract and release gates
- One adapter into your eval stack
You need the bar to keep rising
Quality subscription
We keep your packs current, turn production failures into new tests, recalibrate the judges, and vet every new model against your bar before you switch.
What it unblocks
Your evidence packet stays current as scrutiny grows, and you learn whether a new model is better for your users before you ship it.
The asset you keep
A private test set that grows every month, the part a competitor can't copy.
- Production failures converted to test cases
- Scorer recalibration
- New models vetted against your bar
- Release-gate review
- A quality loop your team keeps
You need your team to own it
In-housing program
A hands-on program that builds your eval and safety system alongside your team and trains them to run it, with a defined graduation so you finish independent.
What it unblocks
Your team owns the quality loop and can prove it to a buyer or an investor without an outside studio in the critical path.
The asset you keep
A trained team that runs the loop without us, and a pack you keep maintaining.
- Your eval and safety architecture, built with your team
- Hands-on training on the loop
- Runbooks and release gates your team owns
- A defined graduation checkpoint
- A pack you keep maintaining
In build. Design partners open.
hunter-guard. The Behavior Guidance Packs, as an SDK your team installs.
The packs are already runnable. hunter-guard makes them a package that plugs into Langfuse and the rest of your eval stack, so the same scorers run against live traces and tie back to the outcomes you track, not only at build time. We are scoping it now with a design partner. Ask if you want to shape it early.
The first call is practical. We look at the product, the moments where a wrong answer costs you, and what's creating urgency, then recommend where to start or refer you on if we're not the right team.
Pressure-test my productHow the work runs
The loop behind every engagement.
You start ahead of a blank page. Our Behavior Guidance Packs bring tested rules and checks into step one, so your agent clears the bar sooner and your eval suite scores every release against it.
Explore the packs →Define what good looks like
Turn your method into real scenarios, success criteria, and model answers, starting from our behavior library.
Test every change against it
Check every new version against that bar before it ships, so improvement is measured, not assumed.
Hold the line on risk
Set the boundaries, refuse what the agent should not answer, and route a crisis to a person.
Improve from real use
Turn each real failure into a new test and record what the advice led to, so you keep raising the bar.
Run-your-own workshops
Improve one behavior yourself, with a free guide.
Four guides your team runs on its own, drawn from our client work.
Where we fit
Senior product judgment for AI in coaching, learning, and care.
You get a product lead who has built and shipped conversational AI, without hiring full-time or signing with a large agency.
Strong fit when
- They want to win on how well the product handles its hardest user moments, not on price, lock-in, or who they know.
- They're building conversational AI for coaching, learning, or care, where users or buyers have to trust the output.
- They have a prototype, pilot, customer demand, expert methodology, or live product.
- The experience needs to become more reliable, measurable, or ready for serious customers.
Not a fit
- Competing mainly on price, distribution, or lock-in, where specialized quality is not what wins the deal.
- Looking for a low-cost development shop.
- One-off prompt writing, or automation where quality and trust aren't the hard part.
- Broad AI education for a team that hasn't identified a real product problem yet.
Not there yet? Where to start instead →
Common questions
What teams ask before they reach out.
The system around the model. Conversation architecture, golden eval sets, refusal and escalation rules, memory design, and an improvement loop where you turn every real failure into a new test. You leave owning the standard, the evals, and the loop, the assets that keep a specialized product ahead as the underlying model changes.
Pricing is published. A working block is $1,500 for 5 hours, $2,750 for 10 hours, or $5,000 for 20 hours. A pack buildout runs $8,000 to $20,000. A quality subscription is $3,000 to $6,000 a month. An in-housing program runs in one-month cycles at $8,000 to $18,000 a cycle. Most teams start with a 10-hour working block.
Teams building conversational AI for coaching, learning, or care, where users and buyers have to trust the output. You have a prototype, pilot, expert method, or live product, and quality has become the question. If you compete mainly on price or distribution, we will point you to a better starting point.
Yes. We work alongside your team and hand back a system you own and run. Your team can run the evals and read the safety rules long after we step out. The product and the vision stay yours.
It is a practical diagnostic of the product, the hardest user moments, the quality risk, and the milestone creating urgency. You leave with a recommended starting point or an honest no-fit referral. David reads every inquiry himself and replies within two business days.
Either. A pack buildout ships the runnable pack. A quality subscription keeps it current and vets each new model against your bar. An in-housing program is the handoff, one-month cycles where we build the eval and safety system alongside your team and train them to run it, with a defined graduation so you finish independent. The method and the packs are yours to keep in every case.
We build on your own data, with the access limits sensitive work demands, and design for the privacy and data residency rules you deploy under. We treat a governed environment as the starting assumption.