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Buildcraft is a Human-AI Systems Design company. We design products and workflows where people and intelligent systems work together — defining what AI controls, what humans control, and how the two interact.

Research. Define. Design. Build.

"Buildcraft was a true partner. They listened to our needs, took an early direction, and turned it into a complete brand foundation we could build on."

Jeff Chen
CEO, LEEO

We design the relationship between human judgment and machine intelligence.

Buildcraft works with leaders building AI into products, decisions, and operations. We define roles, decision rights, interfaces, safeguards, and feedback loops — then help ship the system, not just the strategy deck.

Founded by a designer-engineer who has spent two decades where models and people meet.

Carl Brunson has led product, brand, and systems work for startups and large organizations, including design leadership through Verikai’s approximately $120M acquisition. His background spans computer science, mathematics, interactive design, business, and hands-on product building.

Previously: Verikai (acquired for ~$120M), Netspend, Pearson, CEB (acquired for $2.6B by Gartner).

“The goal isn't maximum automation. It's the right relationship between human and machine.”

Software is becoming an actor, not just a tool.

For decades, people operated software. Now software can interpret, recommend, generate, decide, and act. Most organizations are adding AI to existing products and workflows without redesigning the human role around it.

The result is powerful technology paired with unclear authority, fragile trust, awkward handoffs, and human workarounds. Buildcraft designs the missing relationship between the person and the system.

  • What should the AI actually do?
  • What should the human still control?
  • When should AI recommend, request approval, or act?
  • How should people understand confidence, uncertainty, and consequence?
  • How does a person correct, override, or recover from a bad result?
  • Who owns the outcome when something goes wrong?
The Buildcraft Model

Six questions every Human-AI system must answer.

The Buildcraft Model evaluates the relationship across Agency, Authority, Legibility, Trust, Correction, and Accountability. Together, these dimensions reveal where a system is useful, confusing, unsafe, or incomplete.

01 / Agency

Who is actually in control?

Initiation, choice, delegation, and human participation.

02 / Authority

What may AI decide independently?

Permissions, approvals, decision rights, and consequence.

03 / Legibility

Does the person understand what the system is doing?

Intent, evidence, state, uncertainty, and expected next action.

04 / Trust

When should AI be believed or questioned?

Confidence, calibration, provenance, verification, and appropriate reliance.

05 / Correction

Can the human redirect or override it?

Editability, undo, escalation, recovery, and learning from feedback.

06 / Accountability

Who owns the outcome when something goes wrong?

Responsibility, auditability, governance, and recourse.

Evidence for designing better relationships with intelligent systems.

We study how AI products distribute agency, authority, understanding, and responsibility. Buildcraft Research turns recurring patterns from products and practice into methods, benchmarks, and the Human-AI Index.

A translucent circular form revealing an electronic system beneath its surface.