Prompt Engineering
The practice of crafting effective instructions for AI systems to produce desired outputs. Prompt engineering is essential for getting optimal results from language models.
Context
Prompt engineering is essential for getting optimal results from language models. In agent systems, prompts define personas, goals, constraints, and decision-making frameworks.
Examples
- 1System prompts that define an AI SDR's personality and approach
- 2Few-shot examples that demonstrate desired email formats
- 3Chain-of-thought prompts for complex reasoning tasks
Implementing Agents
AI agents that implement or utilize Prompt Engineering:
Asana AI
Work management platform with AI Studio for building custom workflows, agents, and automated task management
Supports Prompt Engineering capabilities
Jasper
Enterprise AI copilot for marketing teams with brand voice training, campaign generation, and content optimization
Supports Prompt Engineering capabilities
Mutiny
AI-powered website personalization platform that creates targeted experiences for different audience segments without code
Supports Prompt Engineering capabilities
Customer.io
Marketing automation platform with AI-powered messaging for email, push, SMS, and in-app campaigns
Supports Prompt Engineering capabilities
Coda AI
All-in-one doc platform with AI capabilities for content generation, data analysis, and workflow automation in connected docs
Supports Prompt Engineering capabilities