PhygitAi
for Claude

Anthropic · Beyond Phygital

Research-Stage Screening · Claude

Explore accountable human–AI decision-making in industrial, product, and physical-digital design.

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Designing with Intelligence. Designing for Intelligence.

Explore how AI contributes to design, how human decisions are documented, and what evidence supports product behavior and revision.

Choose how to explore your project

Six guided workflows to examine design evidence, identify issues, and explore opportunities for revision.

01

Audit

Review one project across the six G0–G5 research gates and seven-field Intention–Behavior Record.

02

Compare

Examine two projects using consistent evidence criteria, without scoring or ranking.

03

Inspect

Examine project claims, supporting documents, and missing evidence.

04

Detect

Identify documented discrepancies, evidence gaps, and unclear decision authority.

05

Explain

Clarify existing PhygitAi assessment findings and their methodological limitations.

06

IBR

Trace one design decision using the seven Intention–Behavior Record fields.

Conceptual research · Human-directed decisions · Evidence-based screening

G0–G5 research gates

G stands for gate: a research checkpoint for organizing evidence and questions requiring human judgment.

G0

Intention & Assumptions

Clarify the design purpose and assumptions.

G1

AI-Assisted Co-Design

Document AI contributions and human selection.

G2

Authority & Delegation

Identify who can decide, approve, and override.

G3

Physical Realization

Connect the design to implementation and observations.

G4

Disagreement Assessment

Examine differences between intended and observed outcomes.

G5

Accountable Revision

Record decisions, corrections, and retesting.

The seven-field Intention–Behavior Record (IBR)

A focused trace of one design decision and its follow-up.

  • Intention
  • AI Input
  • Permission
  • Event
  • Outcome
  • Decision
  • Retest