docs: add StagehandTool documentation and improve MDX structure (#2842)
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This commit is contained in:
Tony Kipkemboi
2025-05-15 12:24:25 -04:00
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parent 49bbf3f234
commit 0b35e40a24
9 changed files with 245 additions and 14 deletions

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# Customizing Prompts at a Low Level
## Why Customize Prompts?
Although CrewAI's default prompts work well for many scenarios, low-level customization opens the door to significantly more flexible and powerful agent behavior. Heres why you might want to take advantage of this deeper control:

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# Fingerprinting in CrewAI
## Overview
Fingerprints in CrewAI provide a way to uniquely identify and track components throughout their lifecycle. Each `Agent`, `Crew`, and `Task` automatically receives a unique fingerprint when created, which cannot be manually overridden.

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# Crafting Effective Agents
## The Art and Science of Agent Design
At the heart of CrewAI lies the agent - a specialized AI entity designed to perform specific roles within a collaborative framework. While creating basic agents is simple, crafting truly effective agents that produce exceptional results requires understanding key design principles and best practices.

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# Evaluating Use Cases for CrewAI
## Understanding the Decision Framework
When building AI applications with CrewAI, one of the most important decisions you'll make is choosing the right approach for your specific use case. Should you use a Crew? A Flow? A combination of both? This guide will help you evaluate your requirements and make informed architectural decisions.

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# Build Your First Crew
## Unleashing the Power of Collaborative AI
Imagine having a team of specialized AI agents working together seamlessly to solve complex problems, each contributing their unique skills to achieve a common goal. This is the power of CrewAI - a framework that enables you to create collaborative AI systems that can accomplish tasks far beyond what a single AI could achieve alone.

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# Build Your First Flow
## Taking Control of AI Workflows with Flows
CrewAI Flows represent the next level in AI orchestration - combining the collaborative power of AI agent crews with the precision and flexibility of procedural programming. While crews excel at agent collaboration, flows give you fine-grained control over exactly how and when different components of your AI system interact.

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# Mastering Flow State Management
## Understanding the Power of State in Flows
State management is the backbone of any sophisticated AI workflow. In CrewAI Flows, the state system allows you to maintain context, share data between steps, and build complex application logic. Mastering state management is essential for creating reliable, maintainable, and powerful AI applications.