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The automation & AI glossary

Plain-English definitions of the automation, AI, and integration terms you keep running into, and how each one shows up in real workflows.

Automation concepts

Workflows that survive failures and restarts by remembering exactly where they were.

Pausing a workflow for a person to approve or correct before it continues.

Running the same step twice has the same effect as running it once.

Building automated workflows visually, without writing code.

Coordinating many steps, services, and decisions into one reliable process.

Running a multi-step process automatically, from a trigger through to the result.

An AI that decides which tools to use to accomplish a goal, not just generate text.

Numeric representations of text that let software measure meaning and similarity.

A model trained on vast text that predicts and generates language.

An open standard for connecting AI models to tools and data sources.

The instructions and context you give a language model to get a result.

Grounding an LLM's answer in retrieved documents instead of its training alone.

Forcing an LLM to return typed, schema-shaped data instead of free text.

Letting an LLM invoke defined functions or APIs to take real actions.

Connecting software systems through their APIs so they can exchange data and actions.

Extract data from a source, transform it, and load it into a destination.

A cloud platform for building and running integrations between applications.

A push notification one system sends another the moment an event happens.

Spojit turns these ideas into automation you can run. Describe what you want and Miraxa builds it. Start free, no credit card required.