Who is actually in control?
Initiation, choice, delegation, and human participation.
Approach
Good Human-AI design begins by deciding where intelligence, judgment, and responsibility belong.
We study the real system, assign roles before designing screens, test the moments where trust can break, and help ship a working result.
The Buildcraft Model
Six dimensions of a well-designed Human-AI relationship.
What may AI decide independently?
Permissions, approvals, decision rights, and consequence.
Does the person understand what the system is doing?
Intent, evidence, state, uncertainty, and expected next action.
When should AI be believed or questioned?
Confidence, calibration, provenance, verification, and appropriate reliance.
Can the human redirect or override it?
Editability, undo, escalation, recovery, and learning from feedback.
Who owns the outcome when something goes wrong?
Responsibility, auditability, governance, and recourse.
How we work
From understanding to a working system.
Understand the system
Map the current product or workflow, participants, decisions, inputs, outputs, incentives, constraints, and failure states.
Assign the roles
Define what the AI observes, recommends, generates, decides, and acts on — and what remains human.
Design the relationship
Design the workflow, interaction, approvals, handoffs, explanations, controls, and feedback loops together.
Prototype the difficult moments
Test uncertainty, disagreement, override, recovery, escalation, and high-consequence decisions before polishing the happy path.
Ship and learn
Implement the system, establish measures, observe real behavior, and improve the relationship with evidence.
Services
Three ways to work together.
Service 01 / Two weeks
Human-AI Audit
A focused assessment of one important AI product or workflow. We map how the human, AI, data, and surrounding systems interact; identify broken decision points and trust gaps; and define what should change first.
- Stakeholder and user interviews
- Current-state Human → AI → Human → System map
- Decision and authority inventory
- Buildcraft Model evaluation
- Failure, override, and escalation review
- Prioritized redesign opportunities
Primary deliverable
Start a project Human-AI System Blueprint
The Blueprint includes the current-state map, target human and machine roles, decision boundaries, trust and approval architecture, correction and recovery paths, prototype priorities, implementation sequence, and measurement plan.
Service 02 / Typically six to ten weeks, adjusted to scope
Human-AI System Design
Buildcraft redesigns the product or workflow around the right relationship between people and AI. We combine strategy, system behavior, interaction design, prototyping, and implementation so the result can be used, tested, and shipped.
- Target workflow and service blueprint
- AI behavior and interaction principles
- Decision rules, permissions, and approval model
- Interfaces and prototypes
- Failure, correction, and escalation patterns
- Implementation specifications or production build
- Measurement and learning plan
Service 03 / Ongoing
Human-AI Design Partner
Buildcraft acts as a senior Human-AI design function for a product or leadership team. We help set the direction, review new AI capabilities, prototype critical interactions, establish principles, and support delivery without requiring a full-time executive hire.
- Executive and product advising
- Portfolio and roadmap review
- Human-AI principles and pattern library
- Design critiques and risk reviews
- Rapid prototyping
- Team enablement and implementation support