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The New Vocabulary

Defining the concepts of the AI era.

Words shape thinking. To navigate the transition, we must first agree on what we are talking about.

3H Framework

A strategic planning framework integrating three temporal moments: Here (factual diagnosis of the present), Horizon (long-term vision), How (the path, milestones and execution systems connecting them).

ADT — AI Design Thinking

The third discipline of AI-Human Thinking — a methodology for designing complete cognitive architectures that integrate human and artificial thinking, not just individual tools.

AI Literacy

The ability to understand, evaluate, and work effectively with AI systems.

AI Sovereignty

Strategic independence in AI adoption — choosing tools, data, and governance on your terms.

AI-Human Foundations

A human development programme building the foundations of who people are before focusing on what they do — through five character skills and the FLARE™ meta-skills model.

AI-Human Leadership

An advanced programme developing the capacity to design and orchestrate human systems where others think better — the layer that integrates the trilogy for those with responsibility over people.

AI-Human Performance

A programme developing how people and teams produce consistent results under pressure — through Agency, Performance Under Pressure, and Performance by Design.

AI-Human Systems

The central doctrine that technology, people and business are a single system to be architected together — not three separate domains managed in sequence.

AI-Human Thinking

A research and training programme on hybrid cognition — what happens when human intelligence and artificial intelligence operate together. Encompasses PDT, CDT and ADT.

AI-Native

A qualifier for people, companies or systems designed from the ground up with AI as a central component — not as an add-on. Distinct from "AI-first": AI-first is strategic intention; AI-native is a design condition.

AI-Native builders

Builders who start from what AI can do and design everything else around it. Their edge is not the tools. It is knowing what to build and why.

AI-first SaaS platforms

Cloud-based platforms where AI is the core execution layer, not a feature. The product learns, adapts, and improves with every interaction — and breaks without it.

AI-first software

Software designed from the ground up with AI as its core engine — not as an add-on. Remove the AI, and the product stops working.

AIceberg

A diagnostic framework mapping organisational intelligence across three layers — the visible 10%, the submerged 30%, and the deep 60% where real competitive advantage resides.

Agentic Organisation

An enterprise where AI agents operate as autonomous contributors within defined boundaries.

Agentic Workflow

Moving beyond chat to autonomous execution.

Ambiguity Navigation

The capacity to frame the problem before searching for the solution — using AI to stress-test assumptions rather than confirm them, while maintaining control over evaluation criteria.

Architect of Human Futures

António Martins' primary operational identity — a statement of purpose describing the work of architecting systems that maximise human potential at the intersection of technology, strategy and people.

Architecture beats heroism

An anchor aphorism: well-designed systems produce consistent results without depending on extraordinary effort at every moment. The hero who resolves crises is a symptom of weak architecture.

CDT — Context Design Thinking

A four-phase methodology for designing context in AI systems — Audit, Architect, Construct, Integrate. The prompt is the precise instruction; the context is the environment that defines how it is interpreted.

CORE

An organisational performance framework built on four pillars — Culture, Operations, Resources, Excellence — for change management and organisational transformation.

CSBL — Cognitive System Building Loop

An iterative construction process for cognitive systems — frameworks, methodologies, curricula — through four phases: Diagnose, Design, Build, Validate.

Change Fitness

An organisation's sustainable capacity to absorb and leverage continuous transformation.

Cognitive Apartheid

The emerging divide between those who direct AI and those directed by it.

Cognitive Drift

When human decision-making atrophies through over-reliance on AI.

Cognitive Flexibility

The capacity to shift perspectives, modes of thinking, and frames of reference without locking into a single one — treating AI outputs as scaffolding, not as conclusions.

Cognitive Guardrails Method

A methodology for designing cognitive constraints — the intentional boundaries that ensure an AI system or person using AI does not drift outside desired parameters.

Cognitive Interface

The design layer between human thinking and AI processing.

Cognitive Sovereignty

The ability to use AI without losing mental autonomy — amplifying intelligence with AI while remaining capable of thinking, deciding and creating without it.

Complementarity-Aware Collaboration

The metacognitive awareness of when human judgment outperforms an AI recommendation — and when it does not — enabling genuinely effective human-AI partnership.

Context Design

The discipline of structuring information environments for optimal human-AI decision-making.

Context Design Thinking

Ambiente informacional estruturado onde a interface cognitiva opera, composto por conhecimento prévio, constraints ambientais, regras operacionais, e delimitações de scope

Context Window

The working memory of an AI system.

DECIDE-X

A hybrid decision architecture combining human intelligence with computational capability through the PRISM protocol: Problem, Reality, Insight, Strategy, Move.

DPE — Decision Path Engine

A component of DECIDE-X that maps possible decision paths from a choice point — not a recommendation tool, but a system that makes the decision space visual and navigable.

Decision Architecture

Designing the structures through which organisations make choices at every level.

EVA — Epistemic Validator Agent

An epistemological validation agent that evaluates intellectual rigour — separating hypothesis, model and evidence, and flagging wishful thinking before any publication.

FLARE™

The operational model of meta-skills within AI-Human Foundations — an iterative five-phase cycle: Focus, Learning, Adaptation, Reflection, Execution — where each phase depends on specific character skills.

Fast Knowledge

The current regime in which AI systems deliver synthesized answers almost instantly — compressing or eliminating the traditional human process of searching, comparing, and interpreting information.

Human-in-the-Loop 2.0

The evolution from human oversight to human direction.

INVERT

A methodology of reasoning by inversion — defining the anti-objective (everything that would guarantee failure) and working backwards to eliminate the conditions for failure.

Knowledge Regimes Model

A framework describing the three stages of knowledge access — Scarce, Search, and Fast — and the cognitive consequences of each transition for individuals and organizations.

LEGACY

A framework for building intergenerational impact, structured around four components: Vision, Structure, Transfer, and Continuity.

Living in the Future, Building in the Present

The central tagline of amartins.io — describing the posture of someone who thinks intellectually in the future but builds in the present with pragmatism and focus on execution.

Orchestration Gap

The distance between available AI capability and an organisation's ability to deploy it.

P.R.O.B.L.E.M

A diagnostic framework forcing systematic investigation across seven dimensions — Pattern, Root, Owner, Boundaries, Leverage, Environment, Metrics — before any attempt at a solution.

PDT — Prompt Design Thinking

A five-phase methodology for prompt design: Clarify, Decompose, Design, Execute, Refine. Central premise: problem formulation outlasts prompt syntax.

Performance by Design

Engineering human and organisational performance through intentional system design.

Problem-Driven Innovation

Innovation that starts with real problems rather than available technology.

Prompt Engineering (Obsolete)

A transitional skill being absorbed into system design.

RIA — Reverse Intent Analysis

A reverse engineering methodology applied to any output or decision — decomposing what is visible across six layers to uncover real intent, omissions and what the creator reveals.

STRATIOS

A software project orchestration system that transforms vague ideas into executable projects through structured phases with validation gates — ensuring no code is written before a validated spec exists.

Scarce Knowledge

The historical regime in which knowledge was rare, institutionally concentrated, and earned through sustained effort. Depth was the product of difficulty.

Search Knowledge

The regime in which information became abundant through search engines — expanding access without eliminating the human cognitive work of evaluation, comparison, and synthesis.

Strategy-as-Design

Treating strategy as a design discipline rather than a planning exercise.

Synthetic Data

Machine-generated data that mirrors real-world patterns.

Systemic Human Performance™

The overarching model integrating character skills (who we are) and meta-skills (how we learn) to generate sustainable and adaptable performance in any context.

Systems Thinking

The capacity to map feedback loops between AI models, human behaviour, organisational incentives, and data — understanding that most AI failures are not algorithmic but systemic.

Systems beat willpower

The companion aphorism applied to the individual domain: willpower is a finite and unreliable resource; systems produce consistent behaviour without requiring conscious decision at every instance.

Temporal Compression

The accelerating collapse of time between idea generation and market execution.

The Augmentation Principle

AI should amplify human capability, not replace human judgment.

The Cognitive Gap

The thesis that the biggest obstacle to effective AI adoption is not in the systems — it is in humans. A cognitive gap between what AI can do and people's capacity to use it well.

The Cognitive Shift

The thesis that AI's transformation is not technological but cognitive — the execution barrier has vanished, and competitive advantage now belongs to those who think, structure and decide.

The Edge Program

An AI-Human Thinking curriculum for students aged 14–18, developed for elite international schools — focused on Cognitive Sovereignty, not tool adoption.

Trust Calibration

The ongoing process of developing an accurate mental model of AI's error boundaries — avoiding both systematic deference and systematic override.

UNLOCK.AI

A framework for mapping an organisation's AI adoption potential — starting from real strengths, not declared ones, and identifying where AI amplifies that value.