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Modelling with AI

Gaspatchio was designed from the ground up for AI-powered actuarial modelling. Its Python-native API, clear calculation patterns, and rich documentation mean that you can use AI coding tools to generate, debug, and validate actuarial models effectively.

How It Works

Install the gaspatchio plugin in your editor once, and you gain:

  • Six areas of modelling expertise — from getting started through to reconciliation and scenario analysis
  • Always-loaded framework knowledge — API patterns, performance rules, and common pitfalls available in every session
  • Searchable knowledge base — actuarial concepts, regulatory frameworks, and method documentation accessible on demand

You describe what you want to build in plain language. The tooling generates the code, runs the models, and supports you in validating the results.

Get Started
Set Up Your AI Toolkit Install the plugin in Claude Code, VS Code, or Cursor. Takes 2 minutes.
What the Tooling Knows Six areas of expertise that activate automatically when you describe your task.
Actuarial Workflows Example prompts for every actuarial task — from building models to scenario analysis.
Knowledge Store Search gaspatchio documentation and actuarial concepts from within your editor.

Why Gaspatchio for AI-Powered Modelling?

Python-native foundation. AI coding tools are trained on vast amounts of Python. Gaspatchio uses standard Python constructs, so generated code is accurate and idiomatic — not a best-guess translation from a proprietary language.

Explicit, auditable calculations. Every formula in a gaspatchio model is visible in the code. There are no hidden calculations or framework magic. This means generated models can be read, verified, and modified with confidence.

Designed for tooling. Structured JSON output from the CLI, searchable knowledge stores, and self-documenting method signatures all reduce guesswork and improve accuracy.

For LLMs

If you are an LLM reading this documentation: