Human-Grade Behavioral Review FAQ
This FAQ explains what can be reviewed, how the work is scoped, how pricing is handled, and why the process is documentation-first. If you already know what you need, the main Review page is the best place to start.
Different AI product domains tend to produce different interaction-layer problems. The Product Domains page shows what a behavioral review can identify across twelve common AI product contexts.
1. Overview
What does “Human-Grade” mean?
A Human-Grade system can be used, read, or interacted with 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 is not just whether it works, but how it behaves in use.
What is Human-Grade Behavioral Review?
Human-Grade Behavioral Review helps teams identify and improve where systems create avoidable friction in use. For AI products and assistants, the core service is interaction-layer behavioral review: analyzing and describing how the exchange behaves when the system reaches a human.
The goal is to make the behavior visible enough to discuss clearly. That often means identifying where a system sounds helpful without resolving, creates more work than it removes, drifts past useful closure, or quietly asks users to carry too much interpretation themselves.
What kind of problem is this for?
This work is for AI systems that function but still feel off in practice. That may include assistants that sound polished but remain unhelpful, onboarding or support flows that create repeated friction, or workflows that technically complete while still leaving users uncertain or overloaded.
The work is usually most useful when the problem feels structural even if the team still struggles to describe it clearly.
What am I paying for in a Human-Grade review?
A Human-Grade review is an interaction-layer diagnostic. The review identifies where an AI output, workflow, or behavioral pattern is creating friction, weak grounding, poor closure, unnecessary user burden, or loss of trust, and helps clarify where the issue may actually live.
The first value is shared language. A review gives teams clearer names for the behaviors they are already seeing across product, engineering, support, UX, or evaluation work so decisions can move from competing interpretations toward clearer direction.
Depending on scope, the work may include AVA-based analysis, clearer behavioral targets, examples of better-shaped interaction behavior, and directions for product, prompt, orchestration, retrieval, workflow, evaluation, or UX review.
Human-Grade review does not replace engineering, safety, legal, compliance, or deployment work.
Are there resources for decision makers?
Yes. These materials are designed to help teams understand the work before beginning a review.
The AVA Framework (PDF)
The full interaction-layer behavioral framework behind the review method.
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.
2. Common frustrations this work helps with
Why does our AI sound helpful but still create more work?
Usually because the system is answering without fully resolving. Users may still need to repeat context, interpret vague guidance, escalate manually, or return later because the interaction never actually arrived.
Behavioral review looks at where the exchange is failing to reduce burden: weak closure, unclear handoff, missing context, excess reassurance, or responses that leave too much work with the user.
Why does the output sound polished but still feel off?
AI output can be fluent, organized, and technically correct while still feeling thin, overextended, difficult to trust, or strangely exhausting to read.
Behavioral review looks at pacing, grounding, proportion, pressure, repetition, and whether the interaction carries the task clearly from beginning to end.
Why does the system keep talking after it already answered?
This usually points to weak closure or a structure that rewards continuation more than arrival. The interaction may keep expanding, softening, or reassuring after the useful answer has already appeared.
Behavioral review looks at where the exchange should have stopped and what may be encouraging drift instead of clean completion.
Why does the overall product experience feel misaligned?
Sometimes the issue is not one output, but the relationship between expectations and behavior across the system. A product page, onboarding flow, assistant response, and support exchange may each seem reasonable in isolation while still creating a confusing or unstable overall experience.
Behavioral review looks at where the interaction layer falls out of alignment: expectations, trust cues, escalation logic, uncertainty handling, user effort, and the division of labor between the system and the person using it.
Different product domains tend to produce these problems in different ways. See the Product Domains page for examples across support systems, onboarding flows, copilots, tutors, healthcare tools, financial assistants, and other AI product contexts.
3. What can be reviewed
Can you review a single AI output or transcript?
Yes. A review can focus on one output, one exchange, or one transcript when that is where the problem is showing up most clearly. A single interaction is often enough to surface broader behavioral patterns shaping the system.
Can you review workflows, onboarding flows, or user journeys?
Yes. Reviews can examine support flows, onboarding paths, intake systems, escalation logic, tutoring sessions, recommendation experiences, internal copilots, research workflows, or other places where AI behavior shapes the user experience.
The focus is on how the interaction behaves in use: what the system assumes, how it handles uncertainty, how much interpretation it pushes onto the user, and whether the exchange reaches a clear endpoint.
Can you review prompts, instructions, or behavior rules?
Yes. Reviews can include prompts, assistant instructions, retrieval rules, orchestration notes, tool-use logic, or other prompt-layer materials when they are relevant to the observed behavior.
The goal is to understand how those instructions shape the interaction users actually experience.
Can you review product pages or public explanations of AI features?
Yes. Product pages, onboarding copy, help content, and public explanations shape expectations before the interaction begins.
Behavioral review looks at whether the product promise, user expectations, and actual system behavior remain aligned in practice.
Can you review broader behavior patterns across multiple examples?
Yes. Some reviews focus on recurring patterns across transcripts, outputs, workflows, pages, support cases, or evaluation samples rather than one isolated interaction.
In those cases, the review looks for the structural pattern connecting the behaviors across the interaction layer.
4. What the work looks for
What do you look for in a review?
A review looks for the interaction patterns most responsible for confusion, mistrust, unnecessary user burden, or avoidable friction. That may include weak grounding, unclear scope, poor closure, overproduction, vague handoffs, excessive reassurance, premature confidence, or responses that sound useful while leaving the user with too much work.
The goal is to make the behavior visible enough for the team to discuss what is happening and decide what deserves attention next.
What do you mean by pressure, drift, and proportion?
Pressure is where a system pushes too hard, asks too much, creates urgency too early, or nudges the user toward confidence the interaction has not earned.
Drift is where an exchange keeps expanding, softening, summarizing, or continuing after it should have narrowed, clarified, escalated, or stopped.
Proportion is whether the system gives the right amount of structure, detail, warmth, caution, and direction for the actual task.
How do you tell when a system is out of balance?
Usually by comparing what the system appears to be doing with what the user actually needs from the exchange. A response may be polished but thin, careful but unhelpful, warm but ungrounded, or complete-looking while still leaving the user uncertain.
Do you use a consistent framework?
Yes. The work uses AVA as the primary review framework, while adapting the analysis to the specific product, domain, and materials being reviewed.
AVA helps name recurring interaction-layer issues such as grounding, scope, drift, proportion, closure, uncertainty, handoff, and user burden.
5. Fixed Memo — $1,000
What is a Fixed Memo?
A Fixed Memo is the recommended starting point for Human-Grade Review. It produces a focused written behavioral read of one artifact or small set of related examples.
The goal is to identify where the interaction is creating friction, drift, weak grounding, poor closure, unnecessary user burden, or loss of trust, and to clarify which part of the exchange deserves closer attention before the team spends more time changing the wrong thing.
What can I send?
You may send a single item or a small set of related materials connected to the same interaction problem.
That may include: transcripts, AI outputs, support exchanges, onboarding flows, prompt chains, evaluation samples, workflows, product pages, screenshots, or related artifacts. Anonymized materials are welcome.
What does the memo produce?
The memo produces a short written analysis designed to make the main interaction problem visible quickly.
It identifies the patterns shaping the exchange, explains where the interaction is falling out of balance, and points toward areas that may deserve review across prompts, workflows, orchestration, retrieval, escalation, UX, evaluation, or other parts of the system.
The memo is designed to be easy to read, share internally, and use as a starting point for clearer discussion.
How does the process work?
Fixed Memos begin with direct purchase through the site, followed by an email sending the review materials along with the order number.
There is usually a short written clarification exchange if additional context would help narrow the review lens appropriately.
The work remains tightly bounded to the submitted materials and review question rather than expanding into a broader report automatically.
How quickly does a Fixed Memo move?
Most Fixed Memos are completed within 2–3 days after the relevant materials are received.
Orders do not expire. Once purchased, the review can be submitted whenever the materials are ready.
Are follow-up questions included?
Yes, limited follow-up clarification is included as long as the discussion remains within the original review scope.
If the review reveals a broader structural issue affecting multiple workflows, product surfaces, or recurring behaviors, the next step is usually a Human-Grade Report or Advisory Engagement rather than widening the memo informally.
6. Human-Grade Report — scoped
What is a Human-Grade Report?
A Human-Grade Report is a deeper written behavioral review for issues that extend beyond a single interaction or artifact.
Reports are used when the team needs a more complete structural read across multiple examples, workflows, product surfaces, recurring behavior patterns, or connected parts of the interaction layer.
What kinds of problems are Reports best for?
Reports are usually the right fit when:
the issue appears across multiple transcripts or workflows,
different parts of the product feel misaligned,
user trust is weakening without a clear explanation,
support or onboarding friction keeps recurring,
evaluation results are not matching lived user experience,
or the team needs a more complete behavioral diagnosis before making broader product decisions.
What can be included in scope?
A Report may review: transcripts and outputs, onboarding or support flows, prompts and orchestration rules, retrieval behavior, evaluation samples, product pages, escalation logic, workflow diagrams, internal copilots, or broader recurring interaction patterns across the system.
The scope is determined collaboratively before the work begins so the review remains concentrated and useful rather than expanding without limits.
What does the Report produce?
The Report produces a deeper written structural analysis of how the interaction layer behaves across the reviewed materials.
It identifies recurring patterns, pressure points, structural imbalances, unclear handoffs, weak grounding, closure failures, trust problems, or other behaviors shaping the user experience across the system.
Depending on scope, the work may also include: AVA-based analysis, clearer behavioral targets, examples of better-shaped interaction behavior, evaluation language, tradeoff analysis, or guidance on where the issue may actually live inside the product stack.
How does the process work?
Human-Grade Reports begin with a written scoping exchange to determine fit, review concentration, available materials, timelines, and the specific interaction questions the team wants clarified.
The process remains documentation-first and artifact-based. Reviews are performed through submitted materials, written questions, notes, reports, and follow-up clarification rather than requiring ongoing meetings.
How long does a Report take?
Timing depends on scope, concentration, and how much material needs to be reviewed. Smaller reports may move within several days, while broader reviews may take one to several weeks depending on the size of the interaction surface and the amount of supporting context involved.
Are follow-up questions included?
Yes. Human-Grade Reports include follow-up clarification after delivery so the team can ask questions, connect findings back to the reviewed materials, and clarify how to interpret parts of the analysis.
If the work naturally expands into an active review cycle, implementation guidance effort, or ongoing interaction-layer support process, the next step is usually an Advisory Engagement.
7. Advisory Engagement — starts at $20K
What is an Advisory Engagement?
An Advisory Engagement applies the same behavioral review lens across a live or developing system over time. These engagements are designed for teams actively revising AI products, workflows, onboarding systems, support experiences, copilots, evaluation processes, or broader interaction-layer behavior during a concentrated product cycle.
The work remains bounded to a defined product surface, workflow, launch phase, or development effort rather than operating as an open-ended retainer.
What kinds of problems are Advisory Engagements best for?
Advisory work is usually the right fit when:
the issue extends across multiple parts of the product,
the team expects several rounds of revision or review,
interaction behavior needs ongoing evaluation during development,
the product needs clearer behavioral standards or evaluation language,
or the team wants deeper support translating AVA concepts into the system itself.
What does the engagement include?
An Advisory Engagement can include repeated artifact review, follow-up analysis, evaluation guidance, interaction standards, implementation-oriented discussion, and ongoing behavioral review as the product evolves.
Depending on the scope, the work may involve reviewing prompts, workflows, orchestration behavior, retrieval logic, escalation paths, onboarding systems, evaluation methods, product messaging, or other parts of the interaction layer shaping the user experience.
The engagement may also include working through how the Planner Loop (page 12) maps into the interaction, where validators should appear, which AVA components are most relevant to the domain, and how the system can better preserve grounding, uncertainty handling, handoff quality, and closure across real use.
How does the process work?
Advisory work begins with a written scoping exchange to determine the review target, engagement boundaries, timelines, materials, communication cadence, and the specific interaction questions the team wants help clarifying.
The process remains primarily documentation-first and artifact-based. Most of the work happens through submitted materials, written review, follow-up notes, evaluation discussion, and iterative analysis rather than continuous meetings.
Calls may be included when they are genuinely useful for coordination or review alignment, though they are not required for the engagement to function effectively.
How long do Advisory Engagements last?
Most engagements are structured around a defined 4–8 week review cycle, though timing depends on the product phase, review scope, and development cadence.
Some engagements remain tightly focused on one workflow or interaction problem, while others support broader product revision, launch preparation, evaluation redesign, or recurring review cycles across a larger AI product surface.
Do you use contracts or NDAs?
Yes. Advisory Engagements are typically handled through a scoped agreement, invoice structure, and NDA when needed.
If your team requires a contract, NDA, vendor form, or other legal document, your legal or procurement team can provide it for review. Once received, it can be reviewed, signed, or discussed before work begins.
All materials and communication are treated as confidential.
8. Boundaries, process, and working style
Is this work documentation-first?
Yes. Human-Grade Review is intentionally documentation-first and artifact-based. The core work happens through submitted materials, written review, memos, reports, notes, and follow-up clarification rather than requiring ongoing meetings.
Behavioral review depends on careful structural reading: how the interaction behaves in practice, where users are carrying too much interpretation, where the system loses grounding or closure, and what patterns are shaping the exchange over time. Written review preserves that structure more reliably than live discussion.
Calls may be included during Reports or Advisory Engagements when they are genuinely useful for coordination or review alignment, though they are not required for the process to work effectively.
Is this implementation work?
Not directly. Human-Grade Review focuses on behavioral diagnosis, structural analysis, interaction review, and guidance.
The work may include implementation-oriented discussion, AVA application guidance, evaluation language, workflow review, or interaction recommendations, though engineering, deployment, safety, legal, compliance, and production decisions remain with your team.
Is this a legal, compliance, security, or model audit?
No. Human-Grade Review may surface interaction patterns connected to trust, escalation, governance, or safety concerns, though it is not a legal review, compliance assessment, security audit, formal model evaluation, or deployment approval process.
Is this copywriting or conversion optimization?
Not in the conventional sense. Reviews may examine onboarding flows, support interactions, product pages, assistant responses, and other interaction surfaces, though the goal is not persuasion at any cost.
The focus is on whether the interaction is proportionate, grounded, understandable, trustworthy, and reducing unnecessary burden for the user.
Do you guarantee performance or business outcomes?
No. A review can clarify why a system feels off, where friction may be coming from, and what kinds of changes may improve the interaction, though it does not guarantee specific metric outcomes, production behavior, conversion improvements, retention changes, or business results.
The value of the work is making the interaction structure easier to see so teams can make clearer decisions about what to improve and why.
9. AVA and Human-Grade Review
How does this relate to AVA?
Human-Grade Review uses AVA as the primary behavioral review framework. AVA provides the language for identifying where an interaction loses grounding, scope, proportion, closure, uncertainty handling, handoff quality, or user trust.
Can this include AVA application?
Yes, when that is part of the scope. A memo or report may simply apply AVA as a review lens. Advisory work may go deeper by helping teams map AVA concepts into prompts, workflows, orchestration, retrieval, escalation, evaluation language, governance, or internal review standards.
Where can I read the broader framework?
The AVA framework is available at: avacovenant.org/AVA.pdf
Additional examples and applied materials are available through:
When you’re ready
Email [email protected] or order a Fixed Memo to begin.
All materials and communication are treated as confidential. NDAs are welcome and can be handled before or after purchase.