Prompt engineering - foundations that hold up across vendors
Anyone who can already use a chatbot daily and wants to write prompts a teammate can run unchanged.
By the end of this path
You will (1) write Role-Context-Constraints-Format prompts, (2) know when to add a few-shot example vs a system prompt, (3) maintain a versioned prompt library, and (4) recognise when a reasoning model is worth the cost.
Your progress
Walk the path
- 1L3 · Daily user10 minComing soonPrompting fundamentals - specific, context, examples
Why: The baseline everything else builds on.
- 2L4 · Crafted user15 minComing soonStructured prompting (Role / Context / Constraints / Format)
Why: The RCCF skeleton - your default template.
- 3L4 · Crafted user10 minComing soonFew-shot examples - when zero-shot is not enough
Why: When zero-shot fails, examples beat instructions.
- 4L4 · Crafted user10 minComing soonSystem prompts and persona priming
Why: Persona priming - the under-used reliability lever.
- 5L4 · Crafted user10 minComing soonAssistant memory and custom instructions
Why: Set-and-forget context that compounds.
- 6L4 · Crafted user15 minComing soonBuild your prompt library
Why: A library, not a notebook - versioned, reviewed, shared.
- 7L4 · Crafted user12 minComing soonChain-of-thought reasoning patterns
Why: Make the model show its working when the answer must be defended.
- 8L4 · Crafted user10 minComing soonReasoning models - when to use o-series and thinking modes
Why: Reasoning costs 10x - know when it pays for itself.