Describe in plain language the data you want to extract, and instantly get a production-ready Pydantic class or JSON Schema for OpenAI Function Calling or Instructor.

Try the tool

Which tool should you use, and when?

These mini-apps support GEO scoping, LLM cost estimation, local infrastructure planning and schema markup. They provide a usable starting point before an audit or AI integration project.

Free AI Answer Generator

Enter your question, choose a tone and language, and get an answer in seconds. 100% free, no sign-up.

When to use it: Use it when you want to turn a service page or article into a short, structured answer that AI search engines can cite more easily.
Limitation: The tool does not replace real business proof: always add metrics, sources and examples from your own projects.
Example: Example: generate an 80-word block explaining a GDPR-compliant RAG chatbot for a service page.

Open tool LLM and GDPR guide

RAG & LLM Cost Calculator

Estimate your LLM architecture budget in seconds. Calculate input tokens, output tokens, and vector indexing costs for GPT, Claude and Mistral.

When to use it: Use it when you are planning a RAG chatbot, internal assistant or LLM automation and need to estimate monthly budget before technical scoping.
Limitation: The calculation is an estimate: real costs depend on caching, model routing, embeddings and document volume.
Example: Example: compare GPT-5 mini and Mistral for 2,000 support conversations per month.

Open tool Dynamic LLM routing

VRAM & Hardware Simulator for On-Premise LLMs

Enter the model size, quantization, and context window to estimate the required GPU memory and compatible hardware configurations.

When to use it: Use it when you are checking whether an open-source model can run on your GPU, dedicated server or on-premise infrastructure.
Limitation: VRAM alone is not production sizing: keep margin for context length, batching, latency and traffic spikes.
Example: Example: check whether a quantized 7B model can process internal tickets without a US API.

Open tool Local LLM and GDPR

Structured Outputs Schema Generator

Describe in plain language the data you want to extract, and instantly get a production-ready Pydantic class or JSON Schema for OpenAI Function Calling or Instructor.

When to use it: Use it when you need clean JSON-LD for a service, article, tool, FAQ or case-study page before validation.
Limitation: Generated schema must be reviewed: only mark up information that is actually visible on the page.
Example: Example: generate Service + FAQPage markup for a GDPR-compliant AI integration page.

Open tool Structure an AI page

Tools

Available tools

Which tool should you use, and when?

Free AI Answer Generator

RAG & LLM Cost Calculator

VRAM & Hardware Simulator for On-Premise LLMs

Structured Outputs Schema Generator

Recent articles