Skip to main content
You are here: AI Lab

Engines

Understanding AI Engines

What is an Engine?

An Engine is the "brain" behind every AI-powered agent on the Bridged platform. It is a set of rules, guidelines, and instructions that tells the AI how to think, what tone to use, and how to structure its responses.

Think of it like a recipe:

  • The Agent is the final dish served to your user (e.g., a poll or a knowledge assistant).

  • The Engine is the recipe that instructs the AI chef on exactly how to prepare that dish using the available ingredients (your content).

Engines allow you to codify your brand voice, your editorial standards, and your specific goals into a repeatable format that the AI can follow consistently.

How is an Engine Attached to an Agent?

The connection happens during the Design Phase of creating a new agent.

the platform will present you with a Select engine dropdown menu. This menu contains all the available engines (both system defaults and your custom-created ones) that are compatible with that agent type.

By selecting an engine from this list, you are effectively attaching that specific "brain" to your agent. The agent will then use that engine's guidelines to generate all of its content (poll questions, knowledge answers, etc.).

Why Are Engines Important?

Engines are crucial for several reasons:

  1. Consistency at Scale: They ensure that whether you launch 1 agent or 100, every single piece of AI-generated content sounds like it came from your brand. You define the voice once in the engine, and it applies everywhere.

  2. Precision and Control: Engines give you granular control over the AI's output. You can tell it to focus on specific topics (like pain points), avoid certain words, structure answers in a particular format, or even define how to handle questions it cannot answer.

  3. Reusability: You only need to create a high-quality engine once. It can then be attached to any number of agents, saving time and ensuring best practices are shared across your entire team.

  4. Performance: By creating specialized engines (e.g., one for formal event polls and one for casual blog polls), you can optimize the AI's performance for different contexts and audiences, leading to better engagement.

  5. Brand Safety: Engines act as a guardrail. By defining strict guidelines (like the "Non-Editable Core Rules"), you prevent the AI from making things up or straying off-topic, ensuring all generated content is safe, accurate, and on-brand.

In short, Engines are the key to transforming generic AI into a powerful, predictable, and brand-specific content creation tool.