llama test

Domain-focused tool that captures purpose, logic, inputs, outputs, and differentiation to guide developers, analysts, and SEOs in building precise tool specifications.

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AI Web Tool Generator

Build Your Own Custom Web Calculator in Seconds

Type what tool or calculator you need below. Our AI will build it instantly for your site.

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About This Tool

This tool produces a structured specification for an online utility focused on web and SEO contexts. It documents purpose, user intent, core logic, required and optional features, inputs, outputs, and calculations. The output comprises a human-readable narrative and a machine-readable schema suitable for automation. It is designed for product managers, AI engineers, SEOs, and domain analysts who need a precise, testable contract before implementation. The system enforces typed inputs, units, and validation rules, and it supports localization-ready text. It also generates SEO metadata fields and a visual 512x512 SVG asset that represents data signals without embedding branding. Use cases include documenting new tools, auditing existing tools, and aligning cross-functional teams on scope and expectations. The approach reduces ambiguity by separating required versus optional features, defines clear data contracts, and produces exportable artifacts that can feed downstream pipelines and AI agents.

How to Use

  1. Provide inputs: name, category_id, language, target_audience, and initial feature set.\n
  2. Define required vs optional features and validation rules for inputs and outputs.\n
  3. Run generation to produce the specification text, SEO metadata, and SVG asset.\n
  4. Review the specification, adjust keywords, and refine edge cases or language variants.\n
  5. Export the JSON payload for integration with AI tooling or documentation systems.
How to use llama test

Frequently Asked Questions

Find Quick Answers

What does the tool output?
It outputs a human-readable specification and a machine-readable JSON payload that includes sections for purpose, core logic, inputs/outputs, calculations, edge cases, localization, and exclusions, plus SEO metadata and a scalable SVG asset.
How are inputs validated?
The tool enforces required fields, validates data types and units, checks category_id against the allowed set, and returns structured errors if inputs are missing or inconsistent.
How is SEO metadata handled?
SEO fields are generated to satisfy typical constraints: title_tag under 60 chars, meta_description under 160 chars, a concise url_slug, and a set of keywords aligned with the tool's domain and use cases.

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