Tutorials Prompt Engineering Tutorial
JSON Output — Complete Guide
JSON Output — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 31 of 100
JSON Output
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 4: Structured Outputs
What is this?
JSON output prompts require valid JSON matching a schema — the standard for APIs, webhooks, and PromptVerse automation nodes.
Why should you care?
Every PromptVerse classifier node expects parseable JSON for downstream Mongo and CRM writes.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
Return JSON matching this schema:
{
"category": string,
"confidence": number,
"citations": string[]
}
Use response_format json_object in API when available.
Question: Which plan includes SSO?What happened?
- Schema lists field types.
- API json_object mode nudges valid JSON.
- Citations array supports RAG audit.
Practice next
- Define schema in prompt and in code.
- Enable JSON mode in SDK.
- Parse and validate with Ajv.
- Add required citations min length 1.
- Switch to strict JSON schema response_format.
Remember
Schema in prompt + API JSON mode. Validate in code. Retry with validator errors.
CRM webhook
Salesforce needs category + confidence.
Outcome: JSON node writes custom fields without regex.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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