Grok Bot template · Generative AI and LLMs
Prompt Engineering Outlines
Guarantee valid JSON, XML, or code structure from local LLMs using Outlines.
What it can do
The skills built into this template. Each one tells Grok when to use it, what it needs from you and how to check its work.
- Set up structured generation with Pydantic
- Configure choice and regex generators
- Select and configure model backends
- Explain the FSM-based constraint mechanism
- Generate with integer and float generators
- Handle nested Pydantic models and enums
Apps it works with
Connect these in Grok for the best results. It also works without them: you paste the information in.
outlinestransformersvllmllama-cpp-pythonpydantic
The full template
For members
The complete Prompt Engineering Outlines template: its identity, every skill step by step, its limits and its first-run questions, ready to paste into a new Grok Bot. Members get it, and every other template here.
Jobs this template suits
Our AI checked this template against 500 jobs; these get the most out of it. Each job links to its learning path.