Prompt
A Prompt is the textual, visual, or binary input submitted to a generative AI model to initiate and guide the generation of a specific response or action.
Frequently Asked Questions
What makes a prompt effective?▼
Clear context, structural examples, specific role descriptions, and constraints on the output format.
What is a system prompt?▼
A high-level set of instructions passed to the model first, defining its persona, formatting rules, and safety boundaries for the entire session.
Quick Facts
- CategoryPrompt Engineering
- Key ApplicationUser interfaces, LLM queries, and automated pipeline inputs
Coverage Trend12 Weeks
Related AI Terms
Prompt Media Coverage & Intelligence
Why a bigger context window won't fix your agent's memory
Context windows have grown fast. Models that once capped out at a few thousand tokens now advertise hundreds of thousands, and the natural assumption was that the agent memory problem would shrink as the window grew. Stuff more into the prompt, the th...
Build a meeting prep and follow-up assistant with Amazon Quick and Cisco Webex MCP servers
This post shows how to build a custom meeting prep and follow-up assistant using Amazon Quick and Cisco Webex MCP servers. From a single prompt, the agent finds
DoorDash's new AI chatbot lets you order with prompts and photos
The new chatbot, called Ask DoorDash, allows users to search the app for what they're looking for in their own words instead of having to scroll through restaur
From one-off prompts to workflows: How to use custom agents in GitHub Copilot CLI
Custom agents let GitHub Copilot CLI understand your stack and team workflows, turning one-off terminal prompts into repeatable, reviewable processes. The post
Apple will let you build workflows using AI in its new Shortcuts app
Shortcuts gets an AI upgrade, letting you describe the workflow you want in a prompt.
OpenAI unveils Lockdown Mode to protect sensitive data from prompt injection attacks
Even with Lockdown Mode, ChatGPT could be vulnerable to prompt injections, but the goal is to reduce the likelihood that sensitive data gets shared in the proce
AI agents are learning on the job - just not for your whole team
When someone on a team corrects an AI agent - better prompts, better feedback, better context - that improvement disappears the moment a colleague opens the sam