Terms we use every day.

An autonomous software system powered by AI that can perform multi-step tasks, make decisions, and interact with tools or APIs on behalf of users.

A software development approach where AI tools accelerate coding, testing, and documentation — while senior engineers review and approve all output before deployment.

Connecting a product to external services (CRMs, payment providers, LLMs, helpdesks) via their application programming interfaces.

A collection of reusable UI building blocks (buttons, inputs, modals) used to assemble product interfaces faster and more consistently.

Using AI agents, chatbots, or workflow tools to handle common support queries automatically — with human escalation for complex issues.

A collection of reusable UI components, design tokens, and guidelines that ensure visual and interaction consistency across a product.

A short, fixed-scope engagement (1–2 weeks) to define project requirements, create wireframes, and deliver a transparent quote before full build commitment.

An engagement model where a project is quoted for defined deliverables — instead of open-ended scope that expands over time.

A workflow design where AI handles drafts or automation steps, but a human reviews, approves, or intervenes before output reaches users or production systems.

An AI model trained on vast text data that can understand and generate human language — the foundation of tools like ChatGPT, Claude, and custom AI agents.

The smallest version of a product that delivers core value to early users — used to validate market demand before investing in full-scale development.

The point at which a product satisfies strong market demand — often validated by retention, willingness to pay, and organic growth signals.

The practice of designing, testing, and refining inputs to AI models so they produce reliable, structured, and contextually accurate outputs.

A software delivery model where applications are hosted in the cloud and accessed via subscription — the standard model for modern B2B and B2C products.

The future cost of rework caused by choosing fast but suboptimal technical solutions today — common when MVPs skip architecture planning.

UI (User Interface) design focuses on visual layout and components; UX (User Experience) design focuses on how users interact with and navigate a product.

A delivery model where one company produces design or development work that another company presents under its own brand to end clients.

A low-fidelity layout sketch showing page structure, content hierarchy, and user flows — used to align on scope before visual design or development.