Is my data private when using Prompt Template Interpolator?

Yes. Code Station operates completely client-side without external telemetry, uploads, or server proxies. Your data never leaves your device.

Can AI agents use Prompt Template Interpolator?

Yes. Prompt Template Interpolator supports browser-native WebMCP (Web Model Context Protocol) and local stdio MCP servers via codestation-mcp for automated workflows.

AI & Prompt Engineering

Prompt Template Interpolator

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Station 25

AI & Prompt Engineering

In-browser token estimation, LLM JSON repair, prompt template interpolation, vector geometries, and pattern builder.

Prompt Template Interpolator & Test Matrix

Interpolate Mustache {{variable}} and single-brace {variable} across test records. Formats OpenAI & Anthropic API messages.

Detected Variables (7):

System Message Template (Optional)

User Message Template (Main)

Test Records Matrix (3 records)

#	type	topic	audience	word_count	role	company	tone	Action

Export & Preview:

Record 1 of 3

system

You are a Lead Systems Architect at Code Station. Tone: Concise & Technical.

user

Write a technical brief explaining Web Crypto AES-GCM to a senior engineers in 150 words.

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What does this tool do?

Prompt Template Interpolator: prompt template with {{variable}} or {variable}, test records dataset (json array), export format → interpolated prompt, role-formatted messages (system, user, assistant), batch dataset preview, openai & anthropic json export. Process locally in your browser. Inputs: Prompt template with {{variable}} or {variable}, Test records dataset (JSON array), Export Format. Outputs: Interpolated prompt, Role-formatted messages (System, User, Assistant), Batch dataset preview, OpenAI & Anthropic JSON export.

How to use it?

Provide the listed input and choose Execute. Review the result, then copy or download where available. Clear removes inputs and results.

Browser-local processing. No uploads, content logging, persistence or remote resource loading. Generated markup is inert text; files are treated as untrusted data.

100% in-browser AI & prompt processing. Token estimation, JSON repair, vector metrics, and prompt construction run entirely in client memory with zero server uploads or external LLM API calls.

Interpolate Mustache {{var}} and {var} templates across multiple test records. Formats System, User, and Assistant roles with OpenAI and Anthropic JSON export.