Human-Grade Behavioral Review
For when a system works but still feels off
Human-Grade Review helps teams understand and improve AI behavior at the interaction layer: where model behavior, prompts, retrieval, UX, evals, handoffs, and governance meet in the conversation a user experiences.
The work helps teams see which part of the interaction is creating friction before they spend more time changing the wrong part of the system. It can begin with a quick review of one item and extend into deeper reporting or bounded advisory support.
No calls required.
What does “Human-Grade” mean?
A Human-Grade system can be used without creating unnecessary confusion, pressure, or exhaustion. It does what it needs to do without asking for more attention, interpretation, or effort than the task requires.
A system can be technically correct and still fall short of the standard. The issue isn’t just whether it works, but how it behaves in use for the person on the other end of the exchange.
What is Human-Grade Review?
Human-Grade Review applies that standard to AI products, assistants, workflows, and communication systems that need review, clarification, or correction. The work can begin with a single output, page, transcript, or workflow, then extend into deeper reporting or bounded advisory support.
The goal is to identify where a system is asking too much of people, where the interaction is creating friction, and which part of the exchange deserves closer attention before a team spends more time changing the wrong thing.
What a behavioral review includes
A behavioral review produces a structural read of how a system behaves in use. It identifies where the system burdens users, where the main pressure points or imbalances are coming from, and where the interaction may be drifting away from clarity, grounding, useful closure, or trustworthy guidance.
The first value is shared language. A review names behaviors teams may already recognize in practice but struggle to describe clearly across product, engineering, support, UX, or evaluation work. That gives the team a common object to discuss, so decisions can move from competing interpretations toward clearer direction.
The deliverable is designed for immediate application: a written artifact a team can use to clarify internal discussion, prioritize review work, revise interaction behavior, or decide what actually needs attention next.
Start by sending a transcript, AI output, support exchange, onboarding flow, prompt chain, evaluation sample, workflow, product page, or related examples. Anonymized materials are welcome.
Find your product domain
Reviews apply to different AI product domains in different ways. Support systems, onboarding flows, copilots, tutors, healthcare tools, financial assistants, and research products tend to produce recurring interaction problems with different shapes and consequences.
See what an interaction-layer behavioral review looks for in your product domain.
Ways to work together
Fixed Memo — $1,000
The recommended starting point. A focused written behavioral read of items or examples designed to identify where AI behavior may be creating friction, drift, weak grounding, poor closure, user burden, or loss of trust. Best for teams that want a fast, shareable diagnostic before deciding which part of the system deserves attention next.
Human-Grade Report — scoped
A deeper written behavioral review for broader structural questions, internal circulation, and decision-making. Best when the team needs fuller analysis across multiple artifacts, product surfaces, workflows, or recurring behavior patterns.
Advisory Engagement — starts at $20K
A bounded 4–8 week review cycle for teams that want deeper support applying interaction-layer behavioral review over time. This can include working through how the Planner Loop maps to the interaction, where validators should appear, which modules are most relevant to the domain, and how the system can better preserve context, uncertainty, handoff, and closure across real use.
Best for active product phases where the team expects revision, follow-up review, evaluation language, or repeated artifact review across a developing system.
Not sure where to start? Ask about fit, scope, NDA, invoicing, or the right review option: [email protected]
All materials and communication are treated as confidential. NDAs are welcome and can be handled before or after purchase.
Resources for decision makers
Interaction-Layer Behavior Review (PDF)
The business case for this category as a slide deck.
Scope, Boundaries, and Pricing Guide (PDF)
What each option includes, how scope is determined, and where the review's responsibilities begin and end.
Advisory Engagement Process and Payment (PDF)
How longer 4–8 week support is scoped, billed, and managed.
Human-Grade Review Intake Form (DOCX)
What to send, what to expect, and how the first engagement takes shape.