Guide
Structured outputs in Rails AI applications
Free-form prose is hard to pipe into Sidekiq jobs and ActiveRecord updates. Structured outputs make agents composable.
Updated 2026-07-28 · Rails Agent · Tiny Bubble Company
Direct answer
Ask models for schema-constrained outputs—JSON or typed fields—then validate in Ruby before writing to the database or calling tools. Rails Agent workflows rely on structured results for reliable automation.
Patterns
- Define the schema next to the agent
- Validate before side effects
- Store raw and parsed forms when auditing matters
- Fail closed when validation fails
Example
# Prefer schema-backed results over free text for automation
result = TriageAgent.call(ticket: ticket)
attrs = result.fetch(:priority)
ticket.update!(priority: attrs)Frequently asked questions
Why not parse prose with regex?
It breaks under model variance. Schemas and validation fail loudly instead of corrupting records.
Do all agents need structured outputs?
Chat-facing answers can be prose; anything that drives tools or database writes should be structured.
Ship production Rails AI agents
Install rails-agent-stack, open /agents, and go from scaffold to deploy with Playbooks, memory, guardrails, and monitoring included.
Keep reading
Ruby on Rails AI agents →
Category pillar
Build AI agents in Ruby on Rails →
Implementation guide
Getting started docs →
Install and open /agents
Pricing →
Plans and runtime
Run response schema →
Docs
Multi-agent workflows →
Compose agents
Evaluate Rails AI agents →
Golden cases and regressions
Dashboard test tab →
Sandbox runs before promote