diff --git a/use-cases/pydantic-ai/PRPs/INITIAL.md b/use-cases/pydantic-ai/PRPs/INITIAL.md
index b97be80..3751a0c 100644
--- a/use-cases/pydantic-ai/PRPs/INITIAL.md
+++ b/use-cases/pydantic-ai/PRPs/INITIAL.md
@@ -1,17 +1,37 @@
 ## FEATURE:
 
-Build a simple customer support chatbot using PydanticAI that can answer basic questions and escalate complex issues to human agents.
+[REPLACE EVERYTHING IN BRACKETS WITH YOUR OWN CONTEXT]
+[Provide an overview of the agent you want to build. The more detail the better!]
+[Overly simple example: Build a simple research agent using Pydantic AI that can research topics with the Brave API and draft emails with Gmail to share insights.]
+
+## TOOLS:
+
+[Describe the tools you want for your agent(s) - functionality, arguments, what they return, etc. Be as specific as you like - the more specific the better.]
+
+## DEPENDENCIES
+
+[Describe the dependencies needed for the agent tools (for the Pydantic AI RunContext) - things like API keys, DB connections, an HTTP client, etc.]
+
+## SYSTEM PROMPT(S)
+
+[Describe the instructions for the agent(s) here - you can create the entire system prompt here or give a general description to guide the coding assistant]
 
 ## EXAMPLES:
 
-- Basic chat agent with conversation memory
-- Tool-enabled agent with web search capabilities  
-- Structured output agent for data validation
-- Testing examples with TestModel and FunctionModel
+[Add any additional example agents/tool implementations from past projects or online resources to the examples/ folder and reference them here.]
+[The template contains the following already for Pydantic AI:]
+
+- examples/basic_chat_agent - Basic chat agent with conversation memory
+- examples/tool_enabled_agent - Tool-enabled agent with web search capabilities  
+- examples/structured_output_agent - Structured output agent for data validation
+- examples/testing_examples - Testing examples with TestModel and FunctionModel
+- examples/main_agent_reference - Best practices for building Pydantic AI agents
 
 ## DOCUMENTATION:
 
-- PydanticAI Official Documentation: https://ai.pydantic.dev/
+[Add any additional documentation you want it to reference - this can be curated docs you put in PRPs/ai_docs, URLs, etc.]
+
+- Pydantic AI Official Documentation: https://ai.pydantic.dev/
 - Agent Creation Guide: https://ai.pydantic.dev/agents/
 - Tool Integration: https://ai.pydantic.dev/tools/
 - Testing Patterns: https://ai.pydantic.dev/testing/
@@ -22,4 +42,6 @@ Build a simple customer support chatbot using PydanticAI that can answer basic q
 - Use environment variables for API key configuration instead of hardcoded model strings
 - Keep agents simple - default to string output unless structured output is specifically needed
 - Follow the main_agent_reference patterns for configuration and providers
-- Always include comprehensive testing with TestModel for development
\ No newline at end of file
+- Always include comprehensive testing with TestModel for development
+
+[Add any additional considerations for the coding assistant, especially "gotchas" you want it to keep in mind.]
\ No newline at end of file