Introduction

Instead of building one giant “AI brain” that tries to do everything, Rightbrain lets you inject micro-intelligence exactly where your business needs it, enriching your existing platforms and systems.

This is achieved through Tasks, self-contained AI modules that can be triggered from anywhere in your stack - through an API, webhook, scheduled job, or user action.

Tasks instruct LLMs to process input data and respond in a pre-defined output modality and structure, designed for surfacing in an app’s user interface, storing in your database or initiating another step in a wider workflow.

Core components of Tasks:

PropertyDescription
StatelessNo long-term memory or dependencies between runs
TriggeredActivated by events - API calls, workflows, or user actions
ConsistentGuaranteed, structured outputs for downstream systems
ComposableCan be chained, reused, or embedded into any process

By wiring Tasks into existing systems, teams can safely add AI to any workflow without having to build or maintain an AI platform.

Rightbrain turns AI prototypes into reliable, testable components that ship like any other feature or tool.

Example Tasks

  • Content Moderator – Review user-generated content for compliance
  • Invoice Processor – Extract line items, totals, and vendor details
  • Data Classifier – Categorise and route support tickets or feedback
  • Image Generator – Create branded visuals from text prompts
  • Competitor Analyser – Research and summarise a company’s top competitors

Where It Fits

Rightbrain Tasks can be called through REST API or MCP - the flow is identical in each case.

They connect business rules with AI, making your existing tools smarter, faster, and more adaptive.

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How Teams Use Rightbrain

  • Build AI-powered features using natural language
  • Enrich existing products without extra infra
  • Test, tune, and launch Tasks fast in the dashboard
  • Deploy safely with version control and rollback
  • Monitor performance and costs as they happen

For AI Agents & Assistants

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