- Harness
- In AI development, the software layer (prompts, memory management, tooling) that wraps a base model to extract optimal performance for a specific use case — distinct from the model itself.
- MCP (Model Context Protocol)
- An open standard launched by Anthropic that lets AI models connect to external tools and data sources in a standardised way.
- Agentic workflow
- An AI-driven process where one or more models autonomously plan and execute multi-step tasks, often calling external tools, without continuous human input.
- IDE (Integrated Development Environment)
- Software that bundles a code editor, debugger, and build tools into one interface; in AI coding contexts, products like Cursor and Replit act as AI-enhanced IDEs.
- Context window
- The maximum amount of text (tokens) a language model can process in a single interaction; a larger window allows the model to 'remember' more of a conversation or codebase.
- Vibe coding
- Casual, natural-language-driven software development where a user describes what they want and an AI agent writes the code, lowering the barrier to entry.
- MRR (Monthly Recurring Revenue)
- A normalised measure of predictable monthly revenue from subscriptions or recurring contracts; a key SaaS health metric.
- TAM (Total Addressable Market)
- The total revenue opportunity available for a product or service if it achieved 100% market share.
- Inference
- The process of running a trained AI model to generate outputs; inference costs are the compute expenses incurred each time a model responds to a query.
- Supervoting shares
- A class of stock that carries more votes per share than ordinary shares, allowing a holder to retain outsized control of a company.
- Whole genome sequencing
- A lab process that reads the complete DNA sequence of an organism's genome, providing far more detail than standard genetic tests.
- Terawatt
- One trillion watts of power; used here as a measure of global data-centre compute capacity — the world currently sits at roughly 0.1 terawatts.
- Hallucination (AI)
- When an AI model confidently generates factually incorrect or fabricated information, presenting it as true.
- Agnostic (provider-agnostic)
- Describing a tool or workflow that is not tied to a single vendor's models or services, allowing easy switching between providers.
- Abundance
- As used by Elon Musk, a civilisational goal of having more than enough energy, compute, and resources for all humanity, driven by space expansion and AI.
- OAuth
- An open standard for access-delegation that lets users authorise third-party apps to access their accounts without sharing passwords; referenced here in the context of OpenClaw losing OAuth access.
- Abstraction layer
- A software tier that hides underlying complexity, letting users or developers interact with a simplified interface rather than raw infrastructure — analogous here to wallets in crypto sitting above blockchains.
- CICD pipeline
- Continuous Integration / Continuous Deployment: an automated software workflow that builds, tests, and ships code changes with minimal human intervention.
- Phantom (crypto wallet)
- A popular non-custodial wallet for the Solana blockchain, used here as an analogy for the high-value abstraction layer that captures fees from end-users.
- Comptue-constrained
- A state where demand for AI model usage outstrips available GPU/compute supply, forcing providers to impose rate limits or raise prices.