2025
Local Augmentation
On building local AI workflows as genuine cognitive scaffolding — not productivity shortcuts, but changes to how thought happens. The direct precursor to Interface's augmentation design principle.
Read →Thinking
Writing that shaped Interface.
Writing that explores the research, questions and ideas Interface is built from — not documentation, but the thinking behind the work. By Dr Luke Montuori.
Cognition & Augmentation
On the extended mind, cognitive distribution, embodiment, and what it means to build tools that genuinely extend human capability rather than replace it.
2026
At the Edge of Capacity
How well-designed support — physical, cognitive, environmental — extends what we can do at the limit of our capability. Foundational to Interface's cognitive ergonomics principle.
Read →2026
Cognitive Bodies
On embodied intelligence and substrate constraints: why the physical conditions of cognition cannot be abstracted away, and what this means for AI tools that live in the body of a workflow.
Read →2025
System 0 and the Grey Space
On AI, cognition, and the meaning-making gap — the space between fluent generation and genuine understanding that Interface is built to make navigable.
Read →2026
Bloom's Taxonomy as Vocabulary for System 0
Using educational frameworks to build a vocabulary for how cognitive work distributes between human and AI. Shapes how Interface thinks about inference as a collaborative, not substitutive, process.
Read →2025
What a Piece of Work
From Shannon's playful machines to Hamlet's ambivalence: a reflection on reason, fragility, and the question of what we hand over when we hand over thought.
Read →2025
Human or Dancer?
Reflecting on Haraway's cyborg provocation and Midson's cyborg theology: on the human-technology boundary that Interface navigates as a design constraint, not a philosophical abstraction.
Read →Measurement & Meaning
On semantic quantification, psychometrics, thematic analysis and the challenge of making meaning machine-readable without losing what matters about it.
2024
Measuring Meaning
Turning words into numbers: an introduction to semantic quantification as the basis for AI-derived inference. Explains the approach underlying Interface's analytical capabilities.
Read →2024
Beyond Responding
On using behaviours as evidence of meaning — the psychometric tradition behind Interface's approach to assessment and validation, and why outputs alone are not enough.
Read →2024
Embedded Vectors as Linguistic Objects
Finding new structures of meaning in embedding spaces: how language models produce representations that can be analysed as genuine semantic objects, not just numerical artefacts.
Read →2024
The Shape of Ideas — Part 1
What the frequency structure of a body of text can reveal about what matters within it. Foundational to Interface's thematic analysis and textual visualisation capabilities.
Read →2024
The Shape of Ideas — Part 2
Focused frequencies: refining the signal from text through structured analysis. The practical follow-on from Part 1, with worked examples of what shaped thematic analysis looks like.
Read →2025
Measuring Qualities
The argument that sound measurement cycles through three stages — qualitative understanding, quantitative transformation, qualitative interpretation — and that collapsing any one produces numbers without meaning. The framework underlying Interface's insistence that inference outputs require human interpretation, not just model confidence.
Read →2025
Thinking About Assessment Design in the Age of AI
Three modes of AI in assessment — completing tests, generating them, producing insights from language — and what each demands from practitioners who must remain the critical layer. The design tension between AI capability and validity preservation is foundational to Interface's augmentation approach.
Read →2025
AI in Psychometrics: From Content to Conversations
How AI is transforming psychometric practice — from automated item generation to conversational assessment that analyses language in real time — and the validation demands each creates. Sets the applied context for Interface's approach to inference from conversation and assessment pipeline design.
Read →2026
From Task Design to Task Spaces
Using C-K design theory to argue that generative AI has shifted the measurement bottleneck from producing tasks to evaluating them — the hard problem is now which generated tasks mean something. Shapes how Interface treats inference evaluation as a design discipline, not a quality-checking afterthought.
Read →2026
Measurement as Architecture
Why the frameworks used to measure systems don't just describe them — they shape what those systems become. The performativity problem at the heart of AI evaluation, and why Interface treats evaluation artefacts as governed objects.
Read →Governance & Evaluation
On institutional accountability, evaluation frameworks in high-stakes AI contexts, sovereignty over inference, and the historical pressure generative technologies place on the systems built to evaluate them.
2025
Validating Inferential Outputs: Trust the Process?
Why validating AI inference means examining the reasoning process, not just output accuracy — a model must arrive at the right conclusion for the right reasons, not merely match human scores. The "validity is a property of processes, not tools" argument is the direct theoretical basis for Interface's assurance architecture.
Read →2026
Cognitive Sovereignty and Integrated Inference
On brain-computer interfaces, decentralisation, and the future of thought. Shapes Interface's sovereignty principle and its support for private and local inference deployment.
Read →2026
Measurement as Architecture: Clinical AI
Evaluation frameworks in high-stakes AI contexts: what failure modes get seen, and what governance happens by default when they don't. Direct applied context for Interface's validation and assurance approach.
Read →2026
The Fault of Printers
From a Venice forgery in 1495 to today's AI governance debates: what happens when generative technologies expand the space of possible claims faster than the institutions built to evaluate them.
Read →Knowledge & Learning
On how knowledge forms, circulates and becomes explicit — and how AI tools either support or disrupt that process in practice.
2023
The SECI Model & Knowledge Creation
The classic model of how tacit knowledge becomes explicit and circulates through organisations. Foundational to Interface's knowledge management use cases and the Library product's design.
Read →2024
Cultivating Journalling Habits with AI
Learning by doing: on using AI as a genuine knowledge-work partner, and what Interface's design owes to the experience of trying that before the infrastructure existed to support it well.
Read →2025
Building Cognitive Scaffolds
Instruction verbs as cognitive building blocks, mapped to CEFR levels and cognitive development frameworks. Directly relevant to Interface's assessment development use case and item generation capabilities.
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