PHYGITAI · PUBLIC RESEARCH TOOLKIT

From design intention to accountable decisions.

This public Toolkit supports selected instruments within PhygitAi’s proposed methodology, developed as part of an ongoing interdisciplinary design research initiative. The methodology remains revisable and awaits empirical evaluation. Begin with a consequential decision, examine where intelligence participates, and identify what remains for human judgment, evidence and revision. Investigate possible failures before production and reconsider decisions when new evidence emerges.

Begin with a consequential decision

Use the questions that fit your project.

The Six Gates are revisitable inquiry prompts, not six mandatory approvals. The Intention–Behavior Record (IBR) can preserve one important decision episode. Proportionate use matters: not every design adjustment requires a complete dossier.

01UnderstandConcepts and responsibilities
02InvestigateGates, evidence and alternatives
03DocumentIBR, provisional decision and retest

An interactive orientation · No project data is sent or saved

Decision Explorer

Choose a research direction, then select a gate. The prompts adapt to what you are investigating. They are starting questions, not automated assessments or judgments.

G0 · DESIGNING WITH INTELLIGENCE

What is the intended design decision?

State the problem, affected people and assumptions before accepting generated alternatives. Which parts of the brief come from evidence, and which remain your interpretation?

CONSIDER NEXT

Record what you know, what is uncertain and what would justify revising the intention.

This demonstration does not collect responses or determine whether a design is safe, effective or responsible.

Illustrative application · Book II

One decision, seven fields.

LUMA 01 is an early concept for an adaptive reading lamp. The shared-room disagreement below is a hypothetical teaching and research scenario, not an observation from a physical prototype.

CONCEPTUAL PRODUCT STUDY · NOT A PROTOTYPE
LUMA 01 conceptual lamp and reading surface Integrated schematic of a reading lamp, light reaching a book, and a manual dimmer. This depicts a proposed design arrangement, not hardware or observed behavior.
Ambient sensingProposed input
AI adviceNot an authorization
Physical dimmerHuman control retained

Two occupants repeatedly reverse brightness adjustments in a stipulated shared-use situation. The issue may concern the original intention, the automation rule, or unresolved human interests.

Intention–Behavior Record

ILLUSTRATIVE · NOT TESTED
Intention
Comfortable reading while respecting shared-space needs
AI Input
Proposed adaptive advice; unverified
Permission
Retain accessible physical control; no AI ranking of occupants
Event
Two occupants reverse adjustments; stipulated hypothetical event
Outcome
Competing needs remain unresolved; no comfort measures
Decision
Examine localized lighting; do not learn from conflict alone
Retest
Compare alternative controls and shared-use experience; planned only

What this case records

A concept with decisions, not a tested product.

01 · CANDIDATE CONTROLS

P01–P08

Proposed rules address Manual priority, output limits, uncertainty, consent, data boundaries and unverified external commands. None is implemented or independently verified.

02 · PROVISIONAL CHOICE

DEC-01

An optional person-selected activity tag may inform later preference estimation. It adds no new sensor, cannot trigger a change in Manual mode, and remains a route for investigation.

03 · SHARED-USE QUESTION

DEC-02

Retain accessible physical control; reject AI ranking and occupant tracking; investigate localized illumination. P09 physical recency remains pending, not approved.

The E01–E08 events are constructed reasoning prompts. The record has no physical prototype, measured comfort, recruited occupants or demonstrated effectiveness. DEC-01 and DEC-02 are provisional conceptual directions.

The complete research inventory · Books I, II and III

Explore the full framework by purpose.

The reference below preserves the distinct research families and their identifiers. This is an orientation to the initiative's developing framework and instruments; the three books carry fuller arguments, context, source details and limitations.

BOOK IConcepts C01–C15Foundations, participation, intention and responsibility
  • C01 Physical, digital and phygital foundations
  • C02 Five forms of computational participation
  • C03 Four configurations of AI participation
  • C04 Designing with Intelligence
  • C05 Designing for Intelligence
  • C06 Three inquiry contexts
  • C07 Two-by-three analytical matrix
  • C08 Consequential decision episode
  • C09 Reflexive intention–behavior alignment
  • C10 Conformity versus adequacy
  • C11 Different evidence horizons
  • C12 Recognition through execution
  • C13 Three disagreement pathways
  • C14 Four moments of negotiated responsibility
  • C15 Meaningful control
BOOKS I & IIMethods M01–M11Inquiry gates, records, case construction and comparison
  • M01 Six revisitable gates G0–G5
  • M02 Seven-field IBR
  • M03 Methodological question reference
  • M04 IBR blank templates and worked specimens
  • M05 Source and assumption register
  • M06 Ten-step evidence-aware case-building procedure
  • M07 Twelve-step gate-to-IBR procedure
  • M08 Case quality checks
  • M09 Interdisciplinary comparison protocol
  • M10 Recurring comparative inquiries
  • M11 Measures, coding rules and evaluation criteria

M06 assembles a bounded case; M07 examines and records a consequential episode. Both remain distinct procedures. Their efficiency and added value require study.

M06 · Ten-step case-building outline
  1. Name the design context and responsible parties.
  2. State the question and affected people.
  3. Declare the project's current stage.
  4. Register evidence, sources and status.
  5. State intention and assumptions.
  6. Trace AI input and human response.
  7. Identify permissions and prohibitions.
  8. Compare defensible disagreement explanations.
  9. Record a provisional decision and uncertainty.
  10. Name the next test, owner and revision trigger.

M07's twelve-step gate-to-IBR procedure remains a separately documented method; the full controlled procedure is not reproduced in this public orientation.

BOOK IISeven design applicationsDifferent professional responsibilities and evidence standards
  • Graphic design and visual communication Focus: image provenance and cultural critique
  • UX/UI websites and intelligent interfaces Focus: source integrity and user correction
  • Service design Focus: handoff and institutional authority
  • Industrial design and connected manufacturing Focus: machine control and engineering review
  • Intelligent physical-product design, including LUMA 01 Focus: sensors, permissions, physical control
  • Interior design and shared spaces Focus: overlapping occupants and needs
  • Architecture and intelligent buildings Focus: governance and safety boundaries

Each dossier requires its own disciplinary evidence and specialist review. The cases are constructed or hypothetical; they do not demonstrate field-tested effectiveness.

BOOK IIIEducation E01–E10Learning, studio exercises, assessment and instructors
  • E01 Fourteen-week teaching programme
  • E02 Seven intended learning outcomes
  • E03 Five progressive learning aims
  • E04 Designing with Intelligence exercise
  • E05 Designing for Intelligence exercise
  • E06 Negotiation and Responsibility exercise
  • E07 Final Research Dossier
  • E08 Five-part proposed assessment
  • E09 Recognition-to-action mapping
  • E10 Teaching glossary and reading pathway

E01 proposes fourteen weeks and 42 contact hours. E04–E06 are progressive studio exercises; E07 is the culminating dossier; E08 proposes five equally weighted assessment components. These are educational proposals, not a validated course. Book III also examines AI-free, AI-supported and AI-primary teaching choices.

BOOK IIIHypotheses H1–H6Independent competence, creativity and future design
  • H1 Assisted output versus independent understanding
  • H2 Familiar design categories may constrain inquiry
  • H3 Individual ideation and collective convergence may diverge
  • H4 Independent practice and capacity to contest AI
  • H5 Guided AI participation and independence
  • H6 Openness to unknown future possibilities

These hypotheses are proposed questions, not demonstrated educational results. Human discoveries outside AI remain part of the future-of-design inquiry.

BOOKS I & IIP1–P4 and Studies A–DPropositions, research plans and evidence boundaries
  • P1 Continuity across design contributions, permissions and behavior
  • P2 Reflexive disagreement and alternative explanations
  • P3 Negotiated responsibility and practical control
  • P4 Proportionate traceability and workload
  • Study A Controlled review and documentation comparison
  • Study B Genuine co-design and negotiation
  • Study C Future physical LUMA 01 assessment
  • Study D Interdisciplinary transfer against established methods

All are proposed investigations. No comparative effectiveness or real-world validation is implied.

Critical comparison · Research in development

Use PhygitAi alongside established methods.

Different research purposes should not be confused with identical functions. The Toolkit may complement existing practices, but it has not been shown to outperform them.

Interaction and experience

HAX and human-centered AI

When the central question is how a user-facing AI system should behave and communicate, begin with the relevant Microsoft HAX guidance and UX research. Use PhygitAi to examine a specific consequential decision, its authorization, evidence and possible later revision.

Engineering and governance

Risk, control and technical validation

Where safety, human control, standards or technical verification matter, apply appropriate engineering and governance practice. A PhygitAi gate or completed IBR does not certify a product or replace specialist evidence.

Research question

Does the joined inquiry add value?

Compare purpose, function, structure, unit of analysis, outputs and evidence. Ask whether PhygitAi clarifies decisions or preserves information with acceptable effort, including the possibility that a capable existing workflow performs equally well.

See the Research Atlas comparison for close prior work, evidence boundaries and future comparative testing. Distinct names and Gates are not in themselves proof of methodological originality.

Book III · Educational inquiry

Three horizons. More than one technological future.

The horizons are parallel educational questions, not three inevitable eras or additional PhygitAi Gates. They connect curriculum decisions with the development of independent human competence.

HORIZON 01

AI Integration

Introduce AI deliberately into existing design learning, with clear objectives, independent foundations, source checking and visible human judgment.

HORIZON 02

Post-Integration Education

When AI use becomes routine, rethink how authorship, competence, refusals, creative development and consequential decisions are evaluated.

HORIZON 03

Beyond Integration

Investigate what design and education may become beyond current categories, including intelligent systems and unforeseen material, cultural and technological transformations.

Beyond AI alone

Human intelligence may also generate unforeseen material, scientific, artistic and social transformations independently of AI. Design education should develop the ability to question present categories and investigate futures that cannot yet be predicted.

Choose your next step

One framework. Different ways to explore it.

Understand

Research Atlas and Wiki

Learn the vocabulary, two directions, sources and limits of the inquiry.

Research Atlas · Wiki

Apply

Public platform editions

Explore existing screening workflows for ChatGPT, Claude and Gemini, with platform-specific limitations.

View platforms

Teach and investigate

Education and evidence

Review Book III learning ideas and the developing UAiPN participation–negotiation proposal. Neither is a validated curriculum.

UAiPN · Learn with Luna · Research status

The Toolkit is a developing public research interface within PhygitAi | Beyond Phygital, an ongoing interdisciplinary research initiative originated by Abbas Sibai, PhD. It is not the whole initiative, a certification, an automated approval system, a replacement for professional methods, or a claim of superiority over Microsoft HAX or other established approaches.