Tutorials Prompt Engineering Tutorial
Prompt Templates — Complete Guide
Prompt Templates — 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 18 of 100
Prompt Templates
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 2: Basic Prompting Techniques
What is this?
Prompt templates separate fixed skeleton from variables: {{customer_name}}, {{context}}, {{language}}. Same logic, many tenants or locales.
Why should you care?
PromptVerse Template Studio renders Handlebars-style templates before each LLM call.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
const tpl = `
Hi {{agent_name}}, draft reply for {{customer_name}}.
Language: {{locale}}
Policy excerpt:
{{policy_chunk}}
Ticket:
{{ticket_body}}
`;
const prompt = render(tpl, vars);What happened?
- Variables inject runtime data.
- Policy and ticket slots change per request; instructions stay in the template file under git.
Practice next
- Extract one prompt into template + 3 variables.
- Render with two different tenants.
- Store template in git with version tag.
- Add {{max_words}} variable.
- Internationalize static instruction lines only.
Remember
Templates DRY prompt logic. Variables = per-request data. Version templates like code.
Multi-tenant support
100 tenants share one workflow.
Outcome: Per-tenant vars customize tone without forking workflow code.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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